Abstract: Auditing is an important service to verify the data in the cloud. Most of the auditing protocols are based on the assumption that the client’s secret key for auditing is secure. The security is not fully achieved, because of the low security parameters of the client. If the auditing protocol is not secured means the data of the client will exposed inevitably. In this paper a new mechanism of cloud auditing is implemented. And investigate to reduce the damage of the client key exposure in cloud storage auditing. Here the designing is built upon to overcome the week key auditing process. The auditing protocol is designed with the help of key exposure resilience. In the proposed design, the binary tree structure and the pre-order traversal technique is used to update the secret keys of the client. The security proof and the performance shows the cloud storage auditing with key exposure resilience is very efficient.
A Survey on Batch Auditing Systems for Cloud StorageIRJET Journal
1. The document discusses batch auditing systems for cloud storage security. It provides background on cloud computing and security issues with storing data in the cloud.
2. It describes existing auditing systems like public and private auditing. It also summarizes several key research papers that proposed techniques like provable data possession, proof of retrievability, and using a third party auditor and bilinear aggregate signatures for public auditing.
3. The document proposes a new batch auditing method that uses the MapReduce framework to map signatures to data and reduce them to efficiently verify signatures in parallel when the aggregate signature fails verification. This improves the performance and efficiency of integrity verification for large amounts of cloud data.
IRJET- Secure Data Deduplication for Cloud Server using HMAC AlgorithmIRJET Journal
This document proposes using the HMAC algorithm to enable secure data deduplication on cloud servers. It first provides background on data deduplication and the need for integrity auditing and secure deduplication when storing data in the cloud. It then describes the HMAC algorithm and how it works to generate authentication tags for data using cryptographic hash functions and secret keys. The security of HMAC is analyzed and it is shown to be as secure as attacks on the underlying hash function. Finally, the document concludes that using HMAC allows for secure data deduplication by enabling the verification of data ownership through proof of ownership protocols while maintaining data integrity and confidentiality.
IRJET - Efficient and Verifiable Queries over Encrypted Data in CloudIRJET Journal
This document proposes a scheme for efficient and verifiable queries over encrypted data stored in the cloud. It aims to allow an authorized user to query encrypted documents of interest while maintaining privacy. The scheme provides a verification mechanism to allow users to check the correctness of query results and identify any valid results omitted by a potentially untrustworthy cloud server. The document reviews related work on searchable encryption and verifiable queries. It then outlines the proposed approach to build secure verifiable queries for encrypted cloud data.
We are providing training on IEEE 2016-17 projects for Ph.D Scalars, M.Tech, B.E, MCA, BCA and Diploma students for
all branches for their academic projects.
For more details call us or watsapp us @ 7676768124 0r 9545252155
Email your base papers to "adritsolutions@gmail.co.in"
We are providing IEEE projects on
1) Cloud Computing, Data Mining, BigData Projects Using JAva
2) Image Processing and Video Procesing (MATLAB) , Signal Processing
3) NS2 (Wireless Sensor, MANET, VANET)
4) ANDRIOD APPS
5) JAVA, JEE, J2EE, J2ME
6) Mechanical Design projects
7) Embedded Systems and IoT Projects
8) VLSI- Verilog Projects (ModelSim and Xilinx using FPGA)
For More details Please Visit us at
Adrit Solutions
Near Maruthi Mandir
#42/5, 18th Cross, 21st Main
Vijaynagar
Bangalore.
Periodic Auditing of Data in Cloud Using Random BitsIJTET Journal
This document summarizes a research paper that proposes a scheme for periodically auditing data integrity in cloud storage using random bits. It introduces a proof of retrievability (POR) scheme to ensure data integrity based on service level agreements. The scheme uses probabilistic queries and periodic verification to improve the performance of audit services. It presents an architecture involving a client that pre-processes data before storing it, and a verification protocol to check integrity without retrieving the full data. The scheme aims to reduce overhead on clients and servers while minimizing proof sizes.
IRJET- Continuous Auditing Approach to the Cloud Service Addressing Attri...IRJET Journal
This document proposes a continuous auditing approach for cloud services to address security attributes. It discusses using a third-party auditor to continuously audit selected security certification criteria of cloud services to increase trust in certificates over time as the cloud environment changes. The document outlines a system where data owners can delegate auditing to a trusted third party, allowing audits to be done publicly and efficiently while protecting data privacy. It describes desirable properties for such a public auditing system, such as minimizing overhead, protecting data privacy during audits, supporting dynamic data changes, and allowing the third party to efficiently handle multiple concurrent auditing tasks.
Privacy Preserving in Authentication Protocol for Shared Authority Based Clou...IRJET Journal
This document proposes a privacy-preserving authentication protocol for shared authority-based cloud computing. It discusses security and privacy issues with data sharing among users in cloud storage. The proposed protocol uses a shared authority-based privacy preservation authentication protocol (SecCloud) to address privacy and security concerns for cloud storage. It also uses SecCloud+ to remove data de-duplication. The protocol aims to provide scalability, integrity checking, secure de-duplication, and prevent shoulder surfing attacks during the authentication process in cloud computing.
Attribute-Based Encryption for Access of Secured Data in Cloud StorageIJSRD
This document summarizes an article about attribute-based encryption for securing data access in cloud storage. It discusses how attribute-based encryption (ABE) can allow users to encrypt data in the cloud in a way that only authorized users who match certain attributes can decrypt and access the data. The document provides background on ABE and homomorphic encryption, which allows computations on encrypted data. It proposes a system using partial homomorphic encryption with RSA and user-generated keys to provide security while allowing data operations without decryption. Evaluation results show the proposed approach provides faster encryption times and less overhead compared to traditional methods.
A Survey on Batch Auditing Systems for Cloud StorageIRJET Journal
1. The document discusses batch auditing systems for cloud storage security. It provides background on cloud computing and security issues with storing data in the cloud.
2. It describes existing auditing systems like public and private auditing. It also summarizes several key research papers that proposed techniques like provable data possession, proof of retrievability, and using a third party auditor and bilinear aggregate signatures for public auditing.
3. The document proposes a new batch auditing method that uses the MapReduce framework to map signatures to data and reduce them to efficiently verify signatures in parallel when the aggregate signature fails verification. This improves the performance and efficiency of integrity verification for large amounts of cloud data.
IRJET- Secure Data Deduplication for Cloud Server using HMAC AlgorithmIRJET Journal
This document proposes using the HMAC algorithm to enable secure data deduplication on cloud servers. It first provides background on data deduplication and the need for integrity auditing and secure deduplication when storing data in the cloud. It then describes the HMAC algorithm and how it works to generate authentication tags for data using cryptographic hash functions and secret keys. The security of HMAC is analyzed and it is shown to be as secure as attacks on the underlying hash function. Finally, the document concludes that using HMAC allows for secure data deduplication by enabling the verification of data ownership through proof of ownership protocols while maintaining data integrity and confidentiality.
IRJET - Efficient and Verifiable Queries over Encrypted Data in CloudIRJET Journal
This document proposes a scheme for efficient and verifiable queries over encrypted data stored in the cloud. It aims to allow an authorized user to query encrypted documents of interest while maintaining privacy. The scheme provides a verification mechanism to allow users to check the correctness of query results and identify any valid results omitted by a potentially untrustworthy cloud server. The document reviews related work on searchable encryption and verifiable queries. It then outlines the proposed approach to build secure verifiable queries for encrypted cloud data.
We are providing training on IEEE 2016-17 projects for Ph.D Scalars, M.Tech, B.E, MCA, BCA and Diploma students for
all branches for their academic projects.
For more details call us or watsapp us @ 7676768124 0r 9545252155
Email your base papers to "adritsolutions@gmail.co.in"
We are providing IEEE projects on
1) Cloud Computing, Data Mining, BigData Projects Using JAva
2) Image Processing and Video Procesing (MATLAB) , Signal Processing
3) NS2 (Wireless Sensor, MANET, VANET)
4) ANDRIOD APPS
5) JAVA, JEE, J2EE, J2ME
6) Mechanical Design projects
7) Embedded Systems and IoT Projects
8) VLSI- Verilog Projects (ModelSim and Xilinx using FPGA)
For More details Please Visit us at
Adrit Solutions
Near Maruthi Mandir
#42/5, 18th Cross, 21st Main
Vijaynagar
Bangalore.
Periodic Auditing of Data in Cloud Using Random BitsIJTET Journal
This document summarizes a research paper that proposes a scheme for periodically auditing data integrity in cloud storage using random bits. It introduces a proof of retrievability (POR) scheme to ensure data integrity based on service level agreements. The scheme uses probabilistic queries and periodic verification to improve the performance of audit services. It presents an architecture involving a client that pre-processes data before storing it, and a verification protocol to check integrity without retrieving the full data. The scheme aims to reduce overhead on clients and servers while minimizing proof sizes.
IRJET- Continuous Auditing Approach to the Cloud Service Addressing Attri...IRJET Journal
This document proposes a continuous auditing approach for cloud services to address security attributes. It discusses using a third-party auditor to continuously audit selected security certification criteria of cloud services to increase trust in certificates over time as the cloud environment changes. The document outlines a system where data owners can delegate auditing to a trusted third party, allowing audits to be done publicly and efficiently while protecting data privacy. It describes desirable properties for such a public auditing system, such as minimizing overhead, protecting data privacy during audits, supporting dynamic data changes, and allowing the third party to efficiently handle multiple concurrent auditing tasks.
Privacy Preserving in Authentication Protocol for Shared Authority Based Clou...IRJET Journal
This document proposes a privacy-preserving authentication protocol for shared authority-based cloud computing. It discusses security and privacy issues with data sharing among users in cloud storage. The proposed protocol uses a shared authority-based privacy preservation authentication protocol (SecCloud) to address privacy and security concerns for cloud storage. It also uses SecCloud+ to remove data de-duplication. The protocol aims to provide scalability, integrity checking, secure de-duplication, and prevent shoulder surfing attacks during the authentication process in cloud computing.
Attribute-Based Encryption for Access of Secured Data in Cloud StorageIJSRD
This document summarizes an article about attribute-based encryption for securing data access in cloud storage. It discusses how attribute-based encryption (ABE) can allow users to encrypt data in the cloud in a way that only authorized users who match certain attributes can decrypt and access the data. The document provides background on ABE and homomorphic encryption, which allows computations on encrypted data. It proposes a system using partial homomorphic encryption with RSA and user-generated keys to provide security while allowing data operations without decryption. Evaluation results show the proposed approach provides faster encryption times and less overhead compared to traditional methods.
The document discusses enabling continuous and predictive compliance auditing in distributed computing environments. It aims to develop a proof of concept for methodologies and mechanisms that allow continuous legal compliance auditing. The background provides context on legislation and regulations regarding auditing of customer data, IT infrastructure, and governance compliance. It also discusses challenges around auditing big data in distributed systems. The thesis proposes approaches for defining compliance service level agreements and processing large volumes of log data to enable distributed compliance auditing and analysis. It aims to evaluate the auditing of data privacy and geo-locality compliance throughout the service lifecycle.
Insuring Security for Outsourced Data Stored in Cloud EnvironmentEditor IJCATR
The cloud storage offers users with infrastructure flexibility, faster deployment of applications and data, cost
control, adaptation of cloud resources to real needs, improved productivity, etc. Inspite of these advantageous factors, there
are several deterrents to the widespread adoption of cloud computing remain. Among them, security towards the correctness
of the outsourced data and issues of privacy lead a major role. In order to avoid security risk for the outsourced data, we
propose the dynamic audit services that enables integrity verification of untrusted and outsourced storages. An interactive
proof system (IPS) with the zero knowledge property is introduced to provide public auditability without downloading raw
data and protect privacy of the data. In the proposed system data owner stores the large number of data in cloud after e
encrypting the data with private key and also send public key to third party auditor (TPA) for auditing purpose. TPA in
clouds and it’s maintained by CSP. An Authorized Application (AA), which holds a data owners secret key (sk) and
manipulate the outsourced data and update the associated IHT stored in TPA. Finally Cloud users access the services through
the AA. Our system also provides secure auditing while the data owner outsourcing the data in the cloud. And after
performing auditing operations, security solutions are enhanced for the purpose of detecting malicious users with the help of
Certificate Authority
This document summarizes a research paper that proposes a public auditing scheme for regenerating-code-based cloud storage. The scheme introduces a proxy that can regenerate authenticators on behalf of data owners to solve issues when authenticators fail in the absence of owners. It also designs a novel public verifiable authenticator generated using keys that can be regenerated using partial keys. Extensive analysis shows the scheme is provably secure and efficient enough to integrate into regenerating-code-based cloud storage.
Data Search in Cloud using the Encrypted KeywordsIRJET Journal
This document presents a proposed system for searching encrypted data stored in the cloud without decrypting it. The system would allow users to perform expressive boolean keyword searches using encrypted trapdoors. It aims to improve efficiency and security over existing methods by supporting boolean expressions, hiding keyword values from servers, and proving security under a formal model. The system design involves data owners encrypting documents and keywords before outsourcing to the cloud. Users generate trapdoors from a trusted center and send them to the cloud server to retrieve matching encrypted files. The goals are to enable expressive searching, efficiency, privacy of keyword values, and provable security.
Multi-Keyword Ranked Search in Encrypted Cloud StorageIRJET Journal
This document proposes and discusses a system for multi-keyword ranked search over encrypted cloud data while preserving security and privacy. It aims to allow authorized users to securely search for and retrieve relevant encrypted documents from the cloud based on multiple search keywords. The system considers three entities: data owners who can upload and encrypt documents to the cloud, data users who can search and retrieve documents, and a cloud server that stores and searches the encrypted documents. The document outlines the problem addressed, related work, the proposed solution, system overview and implementation details. It proposes using an "inner product similarity" measure called "coordinate matching" to evaluate relevance and rank search results for multi-keyword queries over encrypted cloud data.
ENABLING CLOUD STORAGE AUDITING WITH VERIFIABLE OUTSOURCING OF KEY UPDATESNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
PUBLIC AUDITING FOR SECURE CLOUD STORAGE ...Bharath Nair
This document outlines a presentation on public auditing for secure cloud storage. It discusses the objective of developing a system to allow cloud users to ensure their data is secure and not corrupted. It covers topics like introduction to cloud computing, literature review on existing methods, problem description, the proposed method, applications, discussion of base paper, execution tools, and conclusions. The proposed method aims to enable public auditing of cloud storage without requiring local data copies, providing privacy and efficiency.
Improved Data Integrity Protection Regenerating-Coding Based Cloud StorageIJSRD
In today’s world a huge amount of data is loaded on the cloud storage. The protection of such type of data is main concern. It is somewhat difficult to protect such data against corruption, checking the integrity of data and also representation of failure data. Together with this it is also critical to implement fault tolerance among such type of data against corruptions. The private auditing for regenerating codes which is nothing but the existing system, developed to address such types of problems. The private auditing for regenerating codes can generate codes for such corrupted and incomplete data, but for this, data owners always have to stay online for checking completeness as well as integrity of data. In this paper, we are introducing the public auditing technique for regenerating code, based on cloud storage. The proxy is the main component in public auditing to regenerate failed authenticators in the absence of owner of the data. A public verifiable authenticator is also designed, which is generated by a several keys and can be regenerate using partial keys. We are also using pseudorandom function to preserve data privacy by randomizing the encode coefficient. Thus our technique can successfully regenerate the failed authenticators without data owner. Experiment implementation also indicates that our scheme is highly efficient and can be used to regenerate code in cloud based storage.
IRJET- Multi-Owner Keyword Search over Cloud with CryptographyIRJET Journal
This document discusses multi-owner keyword search over encrypted data stored in the cloud. It notes that most existing schemes only consider a single data owner, and require secure channels to transmit secret keys. It proposes that allowing multiple data owners to share encrypted data and enable keyword searches across this shared data addresses these limitations. The document outlines challenges like ensuring data privacy and confidentiality when outsourcing encrypted data to remote cloud servers. It reviews related work on searchable encryption schemes and their limitations in multi-owner settings. The goal is to enable efficient keyword searches across large encrypted datasets from multiple data owners stored in the cloud.
IRJET-Survey Paper on Security for Data Storage and Regeneration of Code by A...IRJET Journal
1. The document proposes a scheme for providing security to data stored in the cloud using regenerating codes and a public auditing scheme. It allows data owners to freely assign integrity checking tasks to third-party auditors.
2. When data is deleted or corrupted on one server, the remaining servers will retain the data and the deleted/corrupted data can be regenerated on a proxy server.
3. The proposed scheme uses encryption to protect data privacy during auditing and random key generation for additional security. It allows data to be accessed by owners remotely while ensuring data integrity and privacy in the cloud.
Role Based Access Control Model (RBACM) With Efficient Genetic Algorithm (GA)...dbpublications
This document summarizes a research paper that proposes a new cloud data security model using role-based access control, encryption, and genetic algorithms. The model uses Token Based Data Security Algorithm (TBDSA) combined with RSA and AES encryption to securely encode, encrypt, and forward cloud data. A genetic algorithm is used to generate encrypted passwords for cloud users. Role managers are assigned to control user roles and data access. The aim is to integrate encoding, encrypting, and forwarding for secure cloud storage while minimizing processing time.
Implementing Proof of Retriavaibility for Multiple Replica of Data File using...IRJET Journal
1. The document proposes a protocol for implementing proof of retrievability for multiple replicas of data files stored on cloud servers using a NoSQL database. It aims to verify the integrity of data when both the cloud storage server and third party auditor cannot fully be trusted.
2. The proposed system replaces a relational database with a NoSQL database to improve data operation performance and scaling for large datasets. It designs a protocol where the third party auditor generates signatures for dataset blocks and integrity proofs, which are then verified by the user to check the trustworthiness of the third party auditor.
3. Experimental results show that the time required for operations like tag generation and challenge-proof-verify are lower than previous solutions,
Trusted Hardware Database With Privacy And Data Confidentialitytheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
IRJET- A Novel and Secure Approach to Control and Access Data in Cloud St...IRJET Journal
This document proposes a novel approach to securely control and access data stored in the cloud using Ciphertext-Policy Attribute-Based Encryption (CP-ABE). The approach aims to address abuse of access credentials by tracing malicious insiders and revoking their access. It presents two new CP-ABE frameworks that allow traceability of malicious cloud clients, identification of misbehaving authorities, and auditing without requiring extensive storage. The frameworks provide fine-grained access control and can revoke credentials of traced attackers.
Gagner Technologies offers M.E projects based on IEEE 2013 . Final Year Projects, M.E projects 2013-2014, mini projects 2013-2014, Real Time Projects, Final Year Projects for BE ECE, CSE, IT, MCA, B TECH, ME, M SC (IT), BCA, BSC CSE, IT IEEE 2013 Projects in Data Mining, Distributed System, Mobile Computing, Networks, Networking. IEEE 2013 - 2014 projects. Final Year Projects at Chennai, IEEE Software Projects, Engineering Projects, MCA projects, BE projects, JAVA projects, J2EE projects, .NET projects, Students projects, Final Year Student Projects, IEEE Projects 2013-2014, Real Time Projects, Final Year Projects for BE ECE, CSE, IT, MCA, B TECH, ME, M SC (IT), BCA, BSC CSE, IT,software Engineering
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The document contains a list of project codes for various topics from the IEEE 2014 projects. There are codes for projects related to cloud computing (GC001-GC022), data mining (GD001-GD018), distributed systems (GDS01-GDS38), mobile computing (GM001-GM020), network security (GNS01-GNS38), networking (GN001-GN024), and software engineering (GS001-GS027). The codes provide brief titles for each project within each topic area.
Two Level Auditing Architecture to Maintain Consistent In Cloudtheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Theoretical work submitted to the Journal should be original in its motivation or modeling structure. Empirical analysis should be based on a theoretical framework and should be capable of replication. It is expected that all materials required for replication (including computer programs and data sets) should be available upon request to the authors.
The International Journal of Engineering & Science would take much care in making your article published without much delay with your kind cooperation
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This document discusses securely mining data stored in the cloud using encryption techniques. It proposes using k-means clustering on the data, then encrypting it with AES. Homomorphic encryption is then performed using Paillier cryptosystem to allow computations on the encrypted data while preserving privacy. The key advantages discussed are that this approach allows for secure data mining and analysis in the cloud without revealing private information to unauthorized parties. It also analyzes related work on encryption and homomorphic techniques for secure cloud computing and big data analysis.
Enabling cloud storage auditing with key exposure resistance 2Ranjeet Bhalshankar
Cloud storage auditing is viewed as an important
service to verify the integrity of the data in public cloud. Current
auditing protocols are all based on the assumption that the
client’s secret key for auditing is absolutely secure. However,
such assumption may not always be held, due to the possibly
weak sense of security and/or low security settings at the client.
If such a secret key for auditing is exposed, most of the current
auditing protocols would inevitably become unable to work. In
this paper, we focus on this new aspect of cloud storage auditing.
We investigate how to reduce the damage of the client’s key
exposure in cloud storage auditing, and give the first practical
solution for this new problem setting. We formalize the definition
and the security model of auditing protocol with key-exposure
resilience and propose such a protocol. In our design, we employ
the binary tree structure and the pre-order traversal technique
to update the secret keys for the client. We also develop a novel
authenticator construction to support the forward security and
the property of blockless verifiability. The security proof and the
performance analysis
A Novel Method of Directly Auditing Integrity On Encrypted DataIRJET Journal
The document proposes two systems, SecCloud and SecCloud+, to achieve both data integrity and deduplication on cloud data. SecCloud introduces an auditing entity that helps clients generate data tags before uploading and audit data integrity stored in the cloud, enabling secure deduplication. SecCloud+ allows integrity auditing and deduplication directly on encrypted data by involving a key server to assign encryption keys based on file content. Both systems use the same three protocols for file uploading, integrity auditing, and proof of ownership with SecCloud+ adding communication between the client and key server to encrypt files before uploading. The systems aim to reduce user computation during uploading and auditing while allowing integrity checks and deduplication on encrypted data in the
The document discusses enabling continuous and predictive compliance auditing in distributed computing environments. It aims to develop a proof of concept for methodologies and mechanisms that allow continuous legal compliance auditing. The background provides context on legislation and regulations regarding auditing of customer data, IT infrastructure, and governance compliance. It also discusses challenges around auditing big data in distributed systems. The thesis proposes approaches for defining compliance service level agreements and processing large volumes of log data to enable distributed compliance auditing and analysis. It aims to evaluate the auditing of data privacy and geo-locality compliance throughout the service lifecycle.
Insuring Security for Outsourced Data Stored in Cloud EnvironmentEditor IJCATR
The cloud storage offers users with infrastructure flexibility, faster deployment of applications and data, cost
control, adaptation of cloud resources to real needs, improved productivity, etc. Inspite of these advantageous factors, there
are several deterrents to the widespread adoption of cloud computing remain. Among them, security towards the correctness
of the outsourced data and issues of privacy lead a major role. In order to avoid security risk for the outsourced data, we
propose the dynamic audit services that enables integrity verification of untrusted and outsourced storages. An interactive
proof system (IPS) with the zero knowledge property is introduced to provide public auditability without downloading raw
data and protect privacy of the data. In the proposed system data owner stores the large number of data in cloud after e
encrypting the data with private key and also send public key to third party auditor (TPA) for auditing purpose. TPA in
clouds and it’s maintained by CSP. An Authorized Application (AA), which holds a data owners secret key (sk) and
manipulate the outsourced data and update the associated IHT stored in TPA. Finally Cloud users access the services through
the AA. Our system also provides secure auditing while the data owner outsourcing the data in the cloud. And after
performing auditing operations, security solutions are enhanced for the purpose of detecting malicious users with the help of
Certificate Authority
This document summarizes a research paper that proposes a public auditing scheme for regenerating-code-based cloud storage. The scheme introduces a proxy that can regenerate authenticators on behalf of data owners to solve issues when authenticators fail in the absence of owners. It also designs a novel public verifiable authenticator generated using keys that can be regenerated using partial keys. Extensive analysis shows the scheme is provably secure and efficient enough to integrate into regenerating-code-based cloud storage.
Data Search in Cloud using the Encrypted KeywordsIRJET Journal
This document presents a proposed system for searching encrypted data stored in the cloud without decrypting it. The system would allow users to perform expressive boolean keyword searches using encrypted trapdoors. It aims to improve efficiency and security over existing methods by supporting boolean expressions, hiding keyword values from servers, and proving security under a formal model. The system design involves data owners encrypting documents and keywords before outsourcing to the cloud. Users generate trapdoors from a trusted center and send them to the cloud server to retrieve matching encrypted files. The goals are to enable expressive searching, efficiency, privacy of keyword values, and provable security.
Multi-Keyword Ranked Search in Encrypted Cloud StorageIRJET Journal
This document proposes and discusses a system for multi-keyword ranked search over encrypted cloud data while preserving security and privacy. It aims to allow authorized users to securely search for and retrieve relevant encrypted documents from the cloud based on multiple search keywords. The system considers three entities: data owners who can upload and encrypt documents to the cloud, data users who can search and retrieve documents, and a cloud server that stores and searches the encrypted documents. The document outlines the problem addressed, related work, the proposed solution, system overview and implementation details. It proposes using an "inner product similarity" measure called "coordinate matching" to evaluate relevance and rank search results for multi-keyword queries over encrypted cloud data.
ENABLING CLOUD STORAGE AUDITING WITH VERIFIABLE OUTSOURCING OF KEY UPDATESNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
PUBLIC AUDITING FOR SECURE CLOUD STORAGE ...Bharath Nair
This document outlines a presentation on public auditing for secure cloud storage. It discusses the objective of developing a system to allow cloud users to ensure their data is secure and not corrupted. It covers topics like introduction to cloud computing, literature review on existing methods, problem description, the proposed method, applications, discussion of base paper, execution tools, and conclusions. The proposed method aims to enable public auditing of cloud storage without requiring local data copies, providing privacy and efficiency.
Improved Data Integrity Protection Regenerating-Coding Based Cloud StorageIJSRD
In today’s world a huge amount of data is loaded on the cloud storage. The protection of such type of data is main concern. It is somewhat difficult to protect such data against corruption, checking the integrity of data and also representation of failure data. Together with this it is also critical to implement fault tolerance among such type of data against corruptions. The private auditing for regenerating codes which is nothing but the existing system, developed to address such types of problems. The private auditing for regenerating codes can generate codes for such corrupted and incomplete data, but for this, data owners always have to stay online for checking completeness as well as integrity of data. In this paper, we are introducing the public auditing technique for regenerating code, based on cloud storage. The proxy is the main component in public auditing to regenerate failed authenticators in the absence of owner of the data. A public verifiable authenticator is also designed, which is generated by a several keys and can be regenerate using partial keys. We are also using pseudorandom function to preserve data privacy by randomizing the encode coefficient. Thus our technique can successfully regenerate the failed authenticators without data owner. Experiment implementation also indicates that our scheme is highly efficient and can be used to regenerate code in cloud based storage.
IRJET- Multi-Owner Keyword Search over Cloud with CryptographyIRJET Journal
This document discusses multi-owner keyword search over encrypted data stored in the cloud. It notes that most existing schemes only consider a single data owner, and require secure channels to transmit secret keys. It proposes that allowing multiple data owners to share encrypted data and enable keyword searches across this shared data addresses these limitations. The document outlines challenges like ensuring data privacy and confidentiality when outsourcing encrypted data to remote cloud servers. It reviews related work on searchable encryption schemes and their limitations in multi-owner settings. The goal is to enable efficient keyword searches across large encrypted datasets from multiple data owners stored in the cloud.
IRJET-Survey Paper on Security for Data Storage and Regeneration of Code by A...IRJET Journal
1. The document proposes a scheme for providing security to data stored in the cloud using regenerating codes and a public auditing scheme. It allows data owners to freely assign integrity checking tasks to third-party auditors.
2. When data is deleted or corrupted on one server, the remaining servers will retain the data and the deleted/corrupted data can be regenerated on a proxy server.
3. The proposed scheme uses encryption to protect data privacy during auditing and random key generation for additional security. It allows data to be accessed by owners remotely while ensuring data integrity and privacy in the cloud.
Role Based Access Control Model (RBACM) With Efficient Genetic Algorithm (GA)...dbpublications
This document summarizes a research paper that proposes a new cloud data security model using role-based access control, encryption, and genetic algorithms. The model uses Token Based Data Security Algorithm (TBDSA) combined with RSA and AES encryption to securely encode, encrypt, and forward cloud data. A genetic algorithm is used to generate encrypted passwords for cloud users. Role managers are assigned to control user roles and data access. The aim is to integrate encoding, encrypting, and forwarding for secure cloud storage while minimizing processing time.
Implementing Proof of Retriavaibility for Multiple Replica of Data File using...IRJET Journal
1. The document proposes a protocol for implementing proof of retrievability for multiple replicas of data files stored on cloud servers using a NoSQL database. It aims to verify the integrity of data when both the cloud storage server and third party auditor cannot fully be trusted.
2. The proposed system replaces a relational database with a NoSQL database to improve data operation performance and scaling for large datasets. It designs a protocol where the third party auditor generates signatures for dataset blocks and integrity proofs, which are then verified by the user to check the trustworthiness of the third party auditor.
3. Experimental results show that the time required for operations like tag generation and challenge-proof-verify are lower than previous solutions,
Trusted Hardware Database With Privacy And Data Confidentialitytheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
IRJET- A Novel and Secure Approach to Control and Access Data in Cloud St...IRJET Journal
This document proposes a novel approach to securely control and access data stored in the cloud using Ciphertext-Policy Attribute-Based Encryption (CP-ABE). The approach aims to address abuse of access credentials by tracing malicious insiders and revoking their access. It presents two new CP-ABE frameworks that allow traceability of malicious cloud clients, identification of misbehaving authorities, and auditing without requiring extensive storage. The frameworks provide fine-grained access control and can revoke credentials of traced attackers.
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Two Level Auditing Architecture to Maintain Consistent In Cloudtheijes
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This document discusses securely mining data stored in the cloud using encryption techniques. It proposes using k-means clustering on the data, then encrypting it with AES. Homomorphic encryption is then performed using Paillier cryptosystem to allow computations on the encrypted data while preserving privacy. The key advantages discussed are that this approach allows for secure data mining and analysis in the cloud without revealing private information to unauthorized parties. It also analyzes related work on encryption and homomorphic techniques for secure cloud computing and big data analysis.
Enabling cloud storage auditing with key exposure resistance 2Ranjeet Bhalshankar
Cloud storage auditing is viewed as an important
service to verify the integrity of the data in public cloud. Current
auditing protocols are all based on the assumption that the
client’s secret key for auditing is absolutely secure. However,
such assumption may not always be held, due to the possibly
weak sense of security and/or low security settings at the client.
If such a secret key for auditing is exposed, most of the current
auditing protocols would inevitably become unable to work. In
this paper, we focus on this new aspect of cloud storage auditing.
We investigate how to reduce the damage of the client’s key
exposure in cloud storage auditing, and give the first practical
solution for this new problem setting. We formalize the definition
and the security model of auditing protocol with key-exposure
resilience and propose such a protocol. In our design, we employ
the binary tree structure and the pre-order traversal technique
to update the secret keys for the client. We also develop a novel
authenticator construction to support the forward security and
the property of blockless verifiability. The security proof and the
performance analysis
A Novel Method of Directly Auditing Integrity On Encrypted DataIRJET Journal
The document proposes two systems, SecCloud and SecCloud+, to achieve both data integrity and deduplication on cloud data. SecCloud introduces an auditing entity that helps clients generate data tags before uploading and audit data integrity stored in the cloud, enabling secure deduplication. SecCloud+ allows integrity auditing and deduplication directly on encrypted data by involving a key server to assign encryption keys based on file content. Both systems use the same three protocols for file uploading, integrity auditing, and proof of ownership with SecCloud+ adding communication between the client and key server to encrypt files before uploading. The systems aim to reduce user computation during uploading and auditing while allowing integrity checks and deduplication on encrypted data in the
Enabling Cloud Storage Auditing With Key-Exposure Resistance1crore projects
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Enabling cloud storage auditing with verifiableKamal Spring
Key-exposure resistance has always been an important issue for in-depth cyber defence in many security applications. Recently, how to deal with the key exposure problem in the settings of cloud storage auditing has been proposed and studied. To address the challenge, existing solutions all require the client to update his secret keys in every time period, which may inevitably bring in new local burdens to the client, especially those with limited computation resources such as mobile phones. In this paper, we focus on how to make the key updates as transparent as possible for the client and propose a new paradigm called cloud storage auditing with verifiable outsourcing of key updates. In this paradigm, key updates can be safely outsourced to some authorized party, and thus the key-update burden on the client will be kept minimal. Specifically, we leverage the third party auditor (TPA) in many existing public auditing designs, let it play the role of authorized party in our case, and make it in charge of both the storage auditing and the secure key updates for key-exposure resistance. In our design, TPA only needs to hold an encrypted version of the client’s secret key, while doing all these burdensome tasks on behalf of the client. The client only needs to download the encrypted secret key from the TPA when uploading new files to cloud. Besides, our design also equips the client with capability to further verify the validity of the encrypted secret keys provided by TPA. All these salient features are carefully designed to make the whole auditing procedure with key exposure resistance as transparent as possible for the client. We formalize the definition and the security model of this paradigm. The security proof and the performance simulation show that our detailed design instantiations are secure and efficient.
Architecture:
IRJET-Auditing and Resisting Key Exposure on Cloud StorageIRJET Journal
1. The document discusses auditing and resisting key exposure in cloud storage. It proposes a new framework called an auditing protocol with key-exposure resilience that allows integrity of stored data to still be verified even if the client's current secret key is exposed.
2. It formalizes the definition and security model for such a protocol and proposes an efficient practical construction. The security proof and asymptotic performance analysis show the proposed protocol is secure and efficient.
3. Key techniques used include periodic key updates, homomorphic linear authenticators, and a novel authenticator construction to boost forward security and provide proof of retrievability with the current design.
Enabling Cloud Storage Auditing with Key Exposure ResistanceIRJET Journal
This document proposes a method for enabling cloud storage auditing with key exposure resistance. It discusses challenges with existing cloud storage auditing systems, where exposure of a client's secret auditing key would compromise the integrity of the audited data. The proposed system uses a binary tree structure and pre-order traversal to periodically update the client's secret keys in a forward-secure manner. This allows the client to audit the integrity of past cloud data, even if the current secret key is exposed. The system aims to efficiently achieve key exposure resilience while maintaining security and performance.
A Survey on A Secure Anti-Collusion Data Sharing Scheme for Dynamic Groups in...IRJET Journal
This document summarizes several papers related to secure data sharing schemes for dynamic groups in the cloud. It discusses key distribution methods using a key manager to distribute keys to group members. The document also reviews papers on revoking members from a group without compromising past signatures, verifying computations on outsourced data, variations of computational and decisional Diffie-Hellman problems, and proofs of retrievability for verifying intact files stored remotely. The conclusion is that mobile cloud computing can extend the boundaries of mobile applications but must satisfy security parameters like integrity, authorization and access control.
This document contains information about several M.Phil Computer Science Cloud Computing projects written in C# and NS2. It provides the titles, languages, links, and short abstracts for each project. The projects focus on topics related to cloud computing including secure cloud storage, data integrity verification, privacy-preserving auditing, and keyword search over encrypted cloud data.
Iaetsd storage privacy protection against dataIaetsd Iaetsd
This document proposes a privacy-preserving public auditing scheme for data storage in cloud computing. It allows a third party auditor (TPA) to efficiently audit the integrity of outsourced data in the cloud without learning anything about the data contents. The scheme utilizes homomorphic linear authenticators and random masking to guarantee privacy during the auditing process. It also supports batch auditing, allowing the TPA to concurrently audit data from multiple users at once in an efficient manner. The goal is to enable public auditing while maintaining privacy, correctness of stored data, and lightweight computation and communication overhead.
IRJET- Deduplication of Encrypted Bigdata on CloudIRJET Journal
This document discusses deduplication of encrypted big data stored in the cloud. It proposes a scheme for secure and efficient deduplication of encrypted data in cloud storage based on ownership challenge and BLS signature based homomorphic linear authenticator. The scheme allows for reducing storage needs by eliminating duplicate encrypted data files, while preserving data privacy and enabling public auditing of data integrity. It evaluates the performance and security of the proposed scheme through analysis and simulations, finding it to be more efficient than existing solutions at supporting both deduplication and auditing of encrypted data in cloud storage, especially for big data.
Efficient Implementation of Proof of Retrievability (OPOR) In Cloud Computing...IJERA Editor
Cloud computing has become an integral part of IT services, storing the application softwares and databases in
large centralized shared data servers. Since it’s a shared platform, the data and services may not be fully trust
worthy. In this work, we have implemented an efficient security model that ensures the data integrity of stored
data in cloud servers. The computational load of data verification linearly grows with the complexity of the
security model and this poses a serious problem at the resource constrained user’s end. Therefore to tackle this
problem we have implemented a new cloud storage scheme which ensures proof of retrivebility (OPoR) at a
third party cloud audit server to pre-process data before uploading into cloud storage server.
Development of Effective Audit Service to Maintain Integrity of Migrated Data...IRJET Journal
This document proposes an audit service to verify the integrity of data migrated to the cloud. It discusses existing proof of retrievability and provable data possession schemes that allow third-party auditing of cloud data without downloading. The document then presents a new interactive proof system-based audit scheme using bilinear pairing cryptography. The scheme uses key generation, tag generation, and an interactive proof protocol between the cloud service provider and third-party auditor. The protocol commitments, challenges, and verifies responses to ensure data integrity while preserving privacy and achieving high performance for cloud auditing.
IRJET- A Survey on Remote Data Possession Verification Protocol in Cloud StorageIRJET Journal
This document summarizes a survey on remote data possession verification protocols for cloud storage. It begins with an abstract describing the problem of verifying integrity of outsourced data files on remote cloud servers. It then provides background on remote data possession verification (RDPV) protocols and discusses related work on ensuring data integrity and supporting dynamic operations. The document describes the system framework, RDPV protocol, use of homomorphic hash functions, and an optimized implementation using an operation record table to efficiently support dynamic operations like modifications. It concludes that the presented efficient and secure RDPV protocol is suitable for cloud storage applications.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
IRJET-2 Proxy-Oriented Data Uploading in Multi Cloud StorageIRJET Journal
This document proposes a proxy-oriented data uploading method for multi-cloud storage. It analyzes the efficiency of cryptographic algorithms like identity-based cryptography and proxy public key cryptography when implemented on cloud platforms. The document presents a system model and security model for identity-based proxy-oriented uploading and discusses how to design an identity-based proxy data possession protocol using bilinear pairings. Experimental results show the performance of symmetric encryption algorithms on mobile devices for encrypting data before outsourcing it to cloud servers.
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IRJET- A Review on Lightweight Secure Data Sharing Scheme for Mobile Cloud Co...IRJET Journal
This document reviews a proposed lightweight secure data sharing scheme (LDSS) for mobile cloud computing. It aims to address the problems of high computational overhead for mobile devices and lack of security when data is stored and shared in the cloud. The proposed LDSS framework uses attribute-based encryption and proxy servers to perform intensive encryption and decryption tasks, reducing the computational load on mobile clients. It also introduces lazy re-encryption and attribute fields to help efficiently revoke user access privileges. The goal is to provide secure yet lightweight data sharing capabilities for mobile cloud applications and services.
IRJET- A Novel Approach for Appreciable Group Data Allocation System with...IRJET Journal
This document proposes a novel approach for secure group data sharing and storage in cloud computing. It aims to enable anonymous data sharing within a group in the cloud with high security and efficiency. The approach uses group signatures and key agreement to allow group members to secretly share data about the group, while a common group key is determined based on key agreement to allow secure sharing and storage of group data in the cloud. Both theoretical and experimental analysis show that the proposed scheme is secure and efficient for group data sharing in cloud computing.
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Enhancing Data Security in Cloud Storage Auditing With Key Abstraction
1. ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Vol. 2, Issue 2, pp: (182-187), Month: October 2015 – March 2016, Available at: www.paperpublications.org
Page | 182
Paper Publications
Enhancing Data Security in Cloud Storage
Auditing With Key Abstraction
1
Priyadharshni.A, 2
Geo Jenefer.G
1
Master of engineering in computer science, Ponjesly College of Engineering
2
Assistant Professor, IT Department, Ponjesly College of Engineering
Abstract: Auditing is an important service to verify the data in the cloud. Most of the auditing protocols are based
on the assumption that the client’s secret key for auditing is secure. The security is not fully achieved, because of
the low security parameters of the client. If the auditing protocol is not secured means the data of the client will
exposed inevitably. In this paper a new mechanism of cloud auditing is implemented. And investigate to reduce the
damage of the client key exposure in cloud storage auditing. Here the designing is built upon to overcome the week
key auditing process. The auditing protocol is designed with the help of key exposure resilience. In the proposed
design, the binary tree structure and the pre-order traversal technique is used to update the secret keys of the
client. The security proof and the performance shows the cloud storage auditing with key exposure resilience is
very efficient.
Keywords: Cloud Storage Auditing, Client Key Exposure.
I. INTRODUCTION
Cloud computing is a computing paradigm, where a large pool of systems are connected in private or public networks, to
provide dynamically scalable infrastructure for application, data and file storage. The large amount of data is stored in the
cloud. To verify the integrity of a data which is stored on the cloud, the cloud storage auditing is used. Auditing is an
integrity check in the cloud data base. It is an important checking in the cloud auditing protocols that are highly
researched on recent years. Each protocols act as a different auditing mechanism. The aim of introducing the protocol is to
achieve high bandwidth and computation efficiency. Thus in this project Homomorphic Linear Authenticator (HLA) is
used for an Efficient auditing scheme.
The efficiency of the (HLA) technique is, it supports block less verification. It is used to reduce the overheads of
computation and communication auditing. The auditor is used to verify the integrity of the data in cloud without retrieving
the whole data.
The privacy protection of data is an important aspect of cloud storage auditing. It is used to reduce the computational
burden of the client. The third party auditor is introduced to help the client to periodically check the integrity of data in
cloud. Auditing protocols are for the privacy of data in cloud.
II. RELATED WORK
Some existing remote integrity checking methods can only serve for static archive data and thus cannot be applied to the
auditing service since the data in the cloud can be dynamically updated. Thus, an efficient and secure dynamic auditing
protocol is desired to convince data owners that the data are correctly stored in the cloud. In [1] paper, the design of an
auditing framework for cloud storage systems and propose an efficient and privacy-preserving auditing protocol. Then,
we extend our auditing protocol to support the data dynamic operations, which is efficient and provably secure in the
random oracle model. We further extend our auditing protocol to support batch auditing for both multiple owners and
multiple clouds, without using any trusted organizer.
2. ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Vol. 2, Issue 2, pp: (182-187), Month: October 2015 – March 2016, Available at: www.paperpublications.org
Page | 183
Paper Publications
The analysis and simulation results show that our proposed auditing protocols are secure and efficient, especially it reduce
the computation cost of the auditor. Provable data possession (PDP) is a technique for ensuring the integrity of data in
storage outsourcing. In this paper, we address the construction of an efficient PDP scheme for distributed cloud storage to
support the scalability of service and data migration, in which we consider the existence of multiple cloud service
providers to cooperatively store and maintain the clients’ data. We present a cooperative PDP (CPDP) scheme based on
homomorphic verifiable response and hash index hierarchy [2]. And [3] in this paper the mechanism of storage auditing is
also proposed.
A model for provable data possession (PDP) that allows a client that has stored data at an untrusted server to verify that
the server possesses the original data without retrieving it. The model generates probabilistic proofs of possession by
sampling random sets of blocks from the server, which drastically reduces I/O costs [5].
III. PROBLEM STATEMENT
The Key exposure resilience in the storage auditing protocol is not fully supported in the existing system this mechanism
is used to detect any dishonest, such as deleting or modifying some client’s data that is stored in the cloud in previous
time periods can all be detected, even if the cloud gets the clients current secret key for cloud storage auditing.
Auditing protocols can also support dynamic data operations. Other aspects, such as proxy auditing, user revocation and
eliminating certificate management in cloud storage auditing have also been studied. Though many research works about
cloud storage auditing have been done in recent years, a critical security problem exposure problem for cloud storage
auditing, has remained unexplored in previous researches. While all existing protocols focus on the faults or dishonesty of
the cloud, they have overlooked the possible weak sense of security and/or low security settings at the client.
Unfortunately, previous auditing protocols did not consider this critical issue, and any exposure of the client’s secret
auditing key would make most of the existing auditing protocols unable to work correctly. We focus on how to reduce the
damage of the client’s key exposure in cloud storage auditing. Our goal is to design a cloud storage auditing protocol with
built-in key-exposure resilience. How to do it efficiently under this new problem setting brings in many new challenges to
be addressed below.
First of all, applying the traditional solution of key revocation to cloud storage auditing is not practical. This is because,
whenever the client’s secret key for auditing is exposed, the client needs to produce a new pair of public key and secret
key and regenerate the authenticators for the client’s data previously stored in cloud. The process involves the
downloading of whole data from the cloud, producing new authenticators, and re-uploading everything back to the cloud,
all of which can be tedious and cumbersome.
Besides, it cannot always guarantee that the cloud provides real data when the client regenerates new authenticators.
Secondly, directly adopting standard key-evolving technique is also not suitable for the new problem setting. It can lead to
retrieving all of the actual files blocks when the verification is preceded. This is partly because the technique is
incompatible with block less verification. The resulting authenticators cannot be aggregated, leading to unacceptably high
computation and communication cost for the storage auditing.
IV. PROPOSED METHOD
In this paper two basic solutions for the key-exposure problem of cloud storage auditing is discussed and implemented.
The first is a naive solution, which in fact cannot fundamentally solve this problem. The second is a slightly better
solution, which can solve this problem but has a large overhead. They are both impractical when applied in realistic
settings. And then we give our core protocol that is much more efficient than both of the basic solutions.
A. Naive Solution:
In this solution, the client still uses the traditional key revocation method. Once the client knows his secret key for cloud
storage auditing is exposed, he will revoke this secret key and the corresponding public key. Meanwhile, he generates one
new pair of secret key and public key, and publishes the new public key by the certificate update. The authenticators of
3. ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Vol. 2, Issue 2, pp: (182-187), Month: October 2015 – March 2016, Available at: www.paperpublications.org
Page | 184
Paper Publications
the data previously stored in cloud, however, all need to be updated because the old secret key is no longer secure. Thus,
the client needs to download all his previously stored data from the cloud, produce new authenticators for them using the
new secret key, and then upload these new authenticators to the cloud. Obviously, it is a complex procedure, and
consumes a lot of time and resource. Furthermore, because the cloud has known the original secret key for cloud storage
auditing, it may have already changed the data blocks and the corresponding authenticators. It would become very
difficult for the client to even ensure the correctness of downloaded data and the authenticators from the cloud. Therefore,
simply renewing secret key and public key cannot fundamentally solve this problem in full.
B. Slightly Better solution:
The client initially generates a series of public keys and secret keys: (PK 1, SK 1), (PK 2, SK 2) · · · (PK). Let the fixed
public key be (PK 1 · · · PK T) and the secret key in time period j be (SK j · · · SK). If the client uploads files to the cloud
in time period j, the client uses SK T to compute authenticators for these files. Then the client uploads files and
authenticators to the cloud. When auditing these files, the client uses PK to verify whether the authenticators for these
files are indeed generated through SK j. When the time period changes from j to j + 1, the client deletes SK from his
storage. Then the new secret key is (SK j j+1, SK T· · · SK This solution is clearly better than the naive solution.
The Naive and Slightly Better solutions are impractical when applied in realistic settings. Cloud Storage Auditing with
Key-exposure Resilience protocol is used in proposed system which is much more efficient than both of the basic
solutions.
C. Proposed Model:
The proposed model is described in below Fig 1. In this process the entire model of this paper is explained here.
In this model the Cloud Storage Auditing with Key-exposure Resilience protocol is used. The key update algorithm helps
to update the secrete key for each time period.
Fig 1 Proposed Model
Our goal is to design a practical auditing protocol with key- exposure resilience, in which the operational complexities of
key size, computation overhead and communication overhead should be at most sub linear to T.
In order to achieve our goal, we use a binary tree structure to appoint time periods and associate periods with tree nodes
by the pre-order traversal technique.
Cloud
Data Flow
Security Message flow
Cloud
Auditing
Proof
Challenge
Key Update in each
time period
Client
4. ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Vol. 2, Issue 2, pp: (182-187), Month: October 2015 – March 2016, Available at: www.paperpublications.org
Page | 185
Paper Publications
The secret key in each time period is organized as a stack. In each time period, the secret key is updated by a forward-
secure technique. It guarantees that any authenticator generated in one time period cannot be computed from the secret
keys for any other time period later than this one. Besides, it helps to ensure that the complexities of keys size,
computation overhead and communication overhead are only logarithmic in total number of time periods T.
As a result, the auditing protocol achieves key-exposure resilience while satisfying our efficiency requirements. As we
will show later, in our protocol, the client can audit the integrity of the cloud data still in aggregated manner, i.e., without
retrieving the entire data from the cloud. As same as the key-evolving mechanisms, our proposed protocol does not
consider the key exposure resistance during one time period. Below, we will give the detailed description of our core
protocol.
The cloud auditing protocol with key exposure resilience protocol helps to protect the data from the unauthorized user. It
helps to verify the integrity of the data.
The auditing protocol with key-exposure Resilience:
An auditing protocol with key-exposure resilience is composed by five algorithms (SysSetup, KeyUpdate, AuthGen,
ProofGen, ProofVerify) shown below.
1. SysSetup:
It is the first algorithm that is first setup the input parameter k and the total time period T. here the parameters that used in
this algorithms is K and T. and finally it will generate an output as an public key PK. This was generated by the client.
2. KeyUpdate:
It is a probabilistic algorithm. It will take the input as public key pk. For denoting the current period where the data to be
position is find out by the parameter j. For the first period the current data that is denoted by the client secret key is SKj.
And the next time period the current time is denoted as SKj+1. This algorithm is also run by the client side.
3. AuthGen:
It is also termed as Authentication generated Algorithm. This algorithm is used to authenticate the file that should be used
for process. This algorithm is also generated in client side.
4. ProofGen:
This algorithm is used to verify the sign value of the system. This value is issued by the auditor. This algorithm is
generated by the cloud side.
5. ProofVerify:
Proof verification is done by the client side was the proof should be used to find the required authority or not.
V. PERFORMANCE EVALUATION
The performance Evaluation of the auditing frame work in this paper is expressed below. In this paper the data that stored
in the cloud and the security ratio is denoted. In this process both the value is compared with the proposed concept. By
using the key update algorithm, the security of the data is high.
0
1
2
3
4
5
1 2
DATA
SECURITY
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Thus by comparing to that aspects proposed model ensure the data security in cloud comparing to the existing system the
ratio is high.
VI. CONCLUSION
As mentioned before data security in cloud is not efficient and the key exposure problem is a big problem when there is
any third party auditing done in the cloud. This can be overcome by achieving the best binary tree structure and the pre-
order traversal technique. This can be further implemented by the proof of verifiability by the Auditor. The methods that
used to bind with each other will increase the efficiency and performance of the proposed model.
VII. FUTURE ENHANCEMENT
The cloud storage auditing with key exposure resilience protocol is used in paper .The user can upload their data in the
cloud and they can protect their data by using the Third Party Auditor. The key update algorithm is used to protect the
client’s key from the unauthorized user. In paper, the data owner independently upload the data to the Cloud and it is
difficult to monitor the data and checking the process in offline. Thus data owner stands in online for integrity checking.
This can be achieved by introducing Proxy component to check for the integrity. This is an added advantage to the data
owner that he need not stay online for integrity checking. The data owner provides a key to the proxy server using that
key proxy is responsible for checking the data. This should be considering as the future work to overcome this drawback.
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