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Author:

Yu, Haiyang (Yu, Haiyang.) | Zhang, Hui (Zhang, Hui.) | Yang, Zhen (Yang, Zhen.) (Scholars:杨震) | Yu, Shui (Yu, Shui.)

Indexed by:

EI Scopus SCIE

Abstract:

Industrial Internet platforms (IIP) can provide many intelligent services based on the industrial big data stored in clouds. However, the vulnerability of cloud storage can cause data corruption, demanding verifying its integrity. Unfortunately, existing cloud storage verification approaches cannot be directly applied to IIP, since they pose heavy computational burdens on the edge side. In this work, we propose an efficient and dynamic storage verification scheme Edasvic for cloud storage in the IIP. We adopt the polynomial commitment to build an efficient homomorphic authenticator, and further design an authenticator accumulator, which can be efficiently generated with limited computational overheads. In addition, we integrate the dynamic information into the authenticator accumulator to support data dynamics. The security of Edasvic is analyzed under the random oracle model. We conduct extensive experiments to evaluate the performance of Edasvic and compare it with the state-of-the-art approaches. Experimental results affirm that Edasvic is superior to existing solutions in terms of computational efficiency.

Keyword:

Data integrity Protocols Security Industrial internet platform cloud data dynamics Internet Industrial Internet of Things Polynomials efficient verification Cloud computing

Author Community:

  • [ 1 ] [Yu, Haiyang]Beijing Univ Technol, Coll Comp Sci, Beijing 100022, Peoples R China
  • [ 2 ] [Yang, Zhen]Beijing Univ Technol, Coll Comp Sci, Beijing 100022, Peoples R China
  • [ 3 ] [Zhang, Hui]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Yu, Shui]Univ Technol Sydney, Sch Comp Sci, Sch Software, Fac Engn & Informat Technol, Ultimo, NSW 2007, Australia

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Source :

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY

ISSN: 1556-6013

Year: 2024

Volume: 19

Page: 6896-6909

6 . 8 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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