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SAID: ECC-based secure authentication and incentive distribution mechanism for blockchain-enabled data sharing system

conference contribution
posted on 2024-10-22, 10:47 authored by Muhammad Rizwan, Muhammad Noman Sohail, Alia AsheralievaAlia Asheralieva, Adeel Anjum, Pelin Angin
The fast digital transformation the world experienced in the past few decades has created a multitude of information resources distributed over the Internet and accessed by many different entities. The sharing of these resources needs to be secure and trustworthy to protect the privacy of data and data providers. Privacy and reliability are major concerns especially in blockchain-based data storage systems, as data are held by different owners. Each data provider tries to increase its share of profit by collaborating with other data providers. To ensure secure data sharing in such a decentralized environment, authentication and verification of shared data is needed. This paper proposes a mutual authentication mechanism based on Elliptic Curve Cryptography (ECC) using hash-based message authentication code (HMAC) to provide anonymity and integrity during the communication process in blockchain-based data sharing. To evaluate the fairness of profit sharing based on data providers' contributions and data utility, we propose the use of the Shapley value techniques. The performed security analysis demonstrates that our proposed approach is resilient against replay, secret disclosure, and traceability attacks.

Funding

National Natural Science Foundation of China (NSFC): project no. 61950410603

Guangdong Provincial Department of Education, Characteristic Innovation: project no. 2021KTSCX110

History

School

  • Science

Department

  • Computer Science

Published in

2021 IEEE International Conference on Blockchain (Blockchain)

Pages

530 - 537

Source

2021 IEEE International Conference on Blockchain (Blockchain)

Publisher

IEEE

Version

  • VoR (Version of Record)

Rights holder

© IEEE

Publisher statement

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2022-01-24

Copyright date

2022

ISBN

9781665417600; 9781665417617

Language

  • en

Location

Melbourne, Australia

Event dates

6th December 2021 - 8th December 2021

Depositor

Dr Alia Asheralieva. Deposit date: 29 May 2024

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