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Author:

Yu, Haiyang (Yu, Haiyang.) | Chen, Yurun (Chen, Yurun.) | Yang, Zhen (Yang, Zhen.) (Scholars:杨震) | Chen, Yuwen (Chen, Yuwen.) | Yu, Shui (Yu, Shui.)

Indexed by:

EI Scopus SCIE

Abstract:

Blockchain technology, known for its decentralized and immutable nature, serves as the foundation for various applications. As a prominent application of blockchain, decentralized storage is powered by blockchain technology and is expected to provide a reliable and cost-effective alternative to traditional centralized storage. A major challenge in blockchain-powered decentralized storage is how to guarantee the quality of storage services in decentralized storage nodes (DSNs). Storage auditing can ensure the integrity and security of the stored data. Unfortunately, it incurs additional computational costs for data owners and extra storage overheads for DSNs, which thereby cannot be directly applied to decentralized storage networks consisting of nodes with various computation and storage capacity. In this article, we overcome these problems and minimize additional burdens in storage auditing. We propose EDCOMA, a computation and storage efficient auditing scheme for blockchain-based decentralized storage, in which a double compression method is designed to compress data authenticators using both data and polynomial commitment. To prevent replay attacks on double compression launched by DSNs, we introduce zero knowledge proof and design a compression arithmetic circuit to guarantee the execution of compression operations in DSNs. We analyze the security of EDCOMA under the random oracle model and conduct extensive experiments to evaluate the performance of EDCOMA. Experimental results affirm that EDCOMA outperforms state-of-the-art approaches in both computational and storage efficiency.

Keyword:

auditing Cloud computing Data integrity Computational efficiency Costs Smart contracts double compression Peer-to-peer computing blockchain Decentralized storage Blockchains

Author Community:

  • [ 1 ] [Yu, Haiyang]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Chen, Yurun]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 3 ] [Yang, Zhen]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 4 ] [Chen, Yuwen]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 5 ] [Yu, Shui]Univ Technol Sydney, Fac Engn & Informat Technol, Sch Comp Sci, Ultimo, NSW 2007, Australia

Reprint Author's Address:

  • [Yang, Zhen]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China;;

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Source :

IEEE TRANSACTIONS ON SERVICES COMPUTING

ISSN: 1939-1374

Year: 2024

Issue: 5

Volume: 17

Page: 2273-2286

8 . 1 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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