IEEE 2014 JAVA MOBILE COMPUTING PROJECTS Cloud assisted mobile-access of health data with privacy and audit ability
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The document proposes a cloud-assisted mobile healthcare system that addresses privacy and security issues. It introduces using a private cloud to store and process health data, while utilizing public cloud storage. The system provides efficient key management, privacy-preserving data storage and retrieval, and auditability. It analyzes existing systems and their disadvantages around scalability, trust, and data sharing controls. The proposed system aims to offer improved confidentiality, access control, revocation, and usability of health records through its integrated technical approaches.
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IEEE 2014 JAVA MOBILE COMPUTING PROJECTS Cloud assisted mobile-access of health data with privacy and audit ability
1. GLOBALSOFT TECHNOLOGIES
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Cloud-Assisted Mobile-Access of Health Data with
Privacy and Audit ability
Abstract:-
Motivated by the privacy issues, curbing the adoption of
electronic healthcare systems and the wild success of cloud service models,
we propose to build privacy into mobile healthcare systems with the help of
the private cloud. Our system offers salient features including efficient key
management, privacy-preserving data storage, and retrieval, especially for
retrieval at emergencies, and audit ability for misusing health data.
Specifically, we pro-pose to integrate key management from pseudorandom
number generator for unlink ability, a secure indexing method for privacy-preserving
keyword search which hides both search and access pat-terns
based on redundancy, and integrate the concept of attribute-based encryption
with threshold signing for providing role-based access control with audit
ability to prevent potential misbehavior, in both normal and emergency
cases. Anywhere-anytime-accessible electronic healthcare systems play a
vital role in our daily life. Services supported by mobile devices, such as
home care and remote monitoring, enable patients to retain their living style
2. and cause minimal interruption to their daily activities. In addition, it
significantly reduces the hospital occupancy, allowing patients with higher
need of in-hospital treatment to be admitted.
Existing System:-
Existing system a PHR system model, there are multiple owners who may
encrypt according to their own ways, possibly using different sets of
cryptographic keys.
Each user obtains keys from every owner whose PHR she wants to read
would limit the accessibility since patients are not always online.
An alternative is to employ a central authority CA to do the key management
on behalf of all PHR owners, but this requires too much trust on a single
authority.
Key escrow also known as a “fair” cryptosystem is an arrangement in which
the keys needed to decrypt encrypted data are held in escrow so that, under
certain circumstances, an authorized third party may gain access to those
keys.
We provide a thorough analysis of the complexity and scalability of our
Existing secure PHR sharing solution, in terms of multiple metrics in
computation, communication, storage and key management
This requirement is the most challenging and none of the existing efficient
SSE can satisfy it.
Disadvantages:-
3. Difficult for Long Term Medication. Several Kinds of Medicine Diagnosing,
Frustration of missing Doses.
Manual Insurance Climbing Patients could actually control the sharing of their
sensitive PHI, especially when they are stored on a third-party server which
people may not fully trust.
Because a third-party server inside hackers can able to leak the patient’s
information and security records to other peoples so this scheme is not fully
trust.
The ABE important issues such as key management scalability, dynamic policy
updates, and efficient on-demand revocation are non-trivial to solve, and remain
largely open up-to-date.
Proposed System:-
The proposed cloud-assisted mobile health networking is inspired by the power,
flexibility, convenience, and cost efficiency of the Cloud-based
data/computation outsourcing paradigm.
We introduce the private cloud which can be considered as a service offered to
mobile users.
The result indicates that the proposed scheme is efficient as well as scalable.
Mobile users outsource data processing tasks to the private cloud which stores
the processed results on the public cloud.
The cloud-assisted service model supports the implementation of practical
privacy mechanisms since intensive computation and storage can be shifted to
the cloud, leaving mobile users with lightweight tasks.
Our proposed pattern hiding scheme just slightly increases the computation and
storage costs at the public cloud compared to the most efficient construction.
4. Advantages:
We provide a thorough analysis of the complexity and scalability of our
proposed secure PHR sharing solution, in terms of multiple metrics in
computation, communication, storage and key management.
Data Confidentiality and On-Demand Revocation. Write Access Control and
Scalability and Usability.
We proposed to build privacy into mobile health systems with the help of the
private cloud.
We provided a solution for privacy-preserving data storage by integrating a
PRF based key management for unlink ability
Hardware Requirements:-
SYSTEM : Pentium IV 2.4 GHz
HARD DISK : 40 GB
RAM : 256 MB
System Configuration:-
H/W System Configuration:-
5. Processor - Pentium –III
Speed - 1.1 Ghz
RAM - 256 MB (min)
Hard Disk - 20 GB
Floppy Drive - 1.44 MB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
S/W System Configuration:-
Operating System :Windows95/98/2000/XP
Application Server : Tomcat5.0/6.X
Front End : HTML, Java, Jsp
Scripts : JavaScript.
Server side Script : Java Server Pages.
Database : Mysql
Database Connectivity : JDBC.