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SmartProvenance: A Distributed, Blockchain Based DataProvenance System

Authors:

Aravind Ramachandran,

Murat KantarciogluAuthors Info & Claims

CODASPY '18: Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy

Pages 35 - 42

https://doi.org/10.1145/3176258.3176333

Published: 13 March 2018 Publication History

Abstract

Blockchain technology has evolved from being an immutable ledger of transactions for cryptocurrencies to a programmable interactive environment for building distributed reliable applications. Although the blockchain technology has been used to address various challenges, to our knowledge none of the previous work focused on using Blockchain to develop a secure and immutable scientific data provenance management framework that automatically verifies the provenance records. In this work, we leverage Blockchain as a platform to facilitate trustworthy data provenance collection, verification, and management. The developed system utilizes smart contracts and open provenance model (OPM) to record immutable data trails. We show that our proposed framework can securely capture and validate provenance data that prevents any malicious modification to the captured data as long as the majority of the participants are honest.

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Cited By

Umer MBelay EGouveia L(2024)Leveraging Artificial Intelligence and Provenance Blockchain Framework to Mitigate Risks in Cloud Manufacturing in Industry 4.0Electronics10.3390/electronics1303066013:3(660)Online publication date: 5-Feb-2024
https://doi.org/10.3390/electronics13030660
Mertens DKim JXu JKim ELee C(2024)Smart flow: a provenance-supported smart contract workflow architectureCluster Computing10.1007/s10586-024-04390-x27:6(8173-8187)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s10586-024-04390-x
Ogundokun RArowolo MDamaševičius RMisra S(2023)Phishing Detection in Blockchain Transaction Networks Using Ensemble LearningTelecom10.3390/telecom40200174:2(279-297)Online publication date: 31-May-2023
https://doi.org/10.3390/telecom4020017
Show More Cited By

Index Terms

SmartProvenance: A Distributed, Blockchain Based DataProvenance System
1. Information systems
  1. Data management systems
    1. Database design and models
      1. Data model extensions
        Data provenance
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Data provenance

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Published In

cover image ACM Conferences

CODASPY '18: Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy

March 2018

401 pages

ISBN:9781450356329

DOI:10.1145/3176258

General Chairs:
Ziming Zhao
Arizona State University, USA
,
Gail-Joon Ahn
Arizona State University, USA & Samsung Research, Korea
,
Program Chairs:
Ram Krishnan
University of Texas at San Antonio, USA
,
Gabriel Ghinita
University of Massachusetts Boston, USA

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGSAC: ACM Special Interest Group on Security, Audit, and Control

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 March 2018

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NIH
ARO
NSF

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CODASPY '18

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SIGSAC

CODASPY '18: Eighth ACM Conference on Data and Application Security and Privacy

March 19 - 21, 2018

AZ, Tempe, USA

Acceptance Rates

CODASPY '18 Paper Acceptance Rate 23 of 110 submissions, 21%;

Overall Acceptance Rate 149 of 789 submissions, 19%

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Cited By

Umer MBelay EGouveia L(2024)Leveraging Artificial Intelligence and Provenance Blockchain Framework to Mitigate Risks in Cloud Manufacturing in Industry 4.0Electronics10.3390/electronics1303066013:3(660)Online publication date: 5-Feb-2024
https://doi.org/10.3390/electronics13030660
Mertens DKim JXu JKim ELee C(2024)Smart flow: a provenance-supported smart contract workflow architectureCluster Computing10.1007/s10586-024-04390-x27:6(8173-8187)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s10586-024-04390-x
Ogundokun RArowolo MDamaševičius RMisra S(2023)Phishing Detection in Blockchain Transaction Networks Using Ensemble LearningTelecom10.3390/telecom40200174:2(279-297)Online publication date: 31-May-2023
https://doi.org/10.3390/telecom4020017
Akbarfam AHeidaripour MMaleki HDorai GAgrawal G(2023)ForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)10.1109/TPS-ISA58951.2023.00025(136-145)Online publication date: 1-Nov-2023
https://doi.org/10.1109/TPS-ISA58951.2023.00025
Zhang YZhao JJiang JZhu YWang LXiang Y(2023)Recording Behaviors of Artificial Intelligence in BlockchainsIEEE Transactions on Artificial Intelligence10.1109/TAI.2022.32135314:6(1437-1448)Online publication date: Dec-2023
https://doi.org/10.1109/TAI.2022.3213531
Al-Mamun AZhao D(2023)ECHAIN: Securing Electronic Device Provenance through Privacy-Preserving Consortium Blockchains2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)10.1109/DSN-S58398.2023.00028(77-83)Online publication date: Jun-2023
https://doi.org/10.1109/DSN-S58398.2023.00028
Kiourtis AMavrogiorgou AMakridis GFatouros GSoldatos JKyriazis D(2023)Data Marketplaces: Best Practices, Challenges, and Advancements for Embedded Finance2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)10.1109/DCOSS-IoT58021.2023.00088(533-540)Online publication date: Jun-2023
https://doi.org/10.1109/DCOSS-IoT58021.2023.00088
Sun LZhou DLiu DTang JLi Y(2023)BPDAC: A Blockchain Based and Provenance Enabled Dynamic Access Control SchemeIEEE Access10.1109/ACCESS.2023.334088711(142552-142568)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3340887
Costa‐Pérez XSciancalepore VZanzi LAlbanese A(2023)Blockchain for Mobile NetworksBlockchains10.1002/9781119781042.ch7(185-213)Online publication date: 8-Sep-2023
https://doi.org/10.1002/9781119781042.ch7
Balon BKalinowski KPaprocka I(2022)Application of Blockchain Technology in Production Scheduling and Management of Human Resources CompetenciesSensors10.3390/s2208284422:8(2844)Online publication date: 7-Apr-2022
https://doi.org/10.3390/s22082844
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