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Author:

Yu, Haiyang (Yu, Haiyang.) | Yang, Zhen (Yang, Zhen.) (Scholars:杨震) | Tu, Shanshan (Tu, Shanshan.) | Waqas, Muhammad (Waqas, Muhammad.) | Liu, Huan (Liu, Huan.)

Indexed by:

EI Scopus SCIE

Abstract:

The rapid growth of various vehicular apps such as automotive navigation and in-car entertainment has brought the explosion of vehicular data. Such a growth has given rise to a huge challenge of maintaining the quality of cloud storage services for the whole period of storage in vehicular networks. As a result, poor quality of services easily causes data corruption problems and thereby threats vehicular data integrity. Blockchain, a tamper-proofing technique, is considered a promising approach for mitigating data integrity risks in cloud storage. However, existing blockchain-based schemes for auditing long-term cloud data integrity suffer from poor communication performance in a vehicular network. In this study, a blockchain-based offline auditing scheme for cloud storage in the vehicular network is proposed to improve auditing performance. Inspired by the data structure of blockchain, we design an evidence chain to achieve offline auditing, which allows the cloud to spontaneously generate data integrity evidence without communicating with auditors during the evidence generation phase. Furthermore, we extend our scheme to support public and automatic validation based on the smart contract. We prove the security of the proposed scheme under the random oracle model and further provide the performance evaluation by comparing with the state-of-the-art approaches.

Keyword:

Metadata Vehicle dynamics Blockchains Security vehicular network Data integrity offline auditing Cloud storage blockchain Cloud computing Vehicular ad hoc networks

Author Community:

  • [ 1 ] [Yu, Haiyang]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Yang, Zhen]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Tu, Shanshan]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Waqas, Muhammad]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Liu, Huan]Arizona State Univ, Ira A Fulton Sch Engn, Sch Comp Informat & Decis Syst Engn, Tempe, AZ 85281 USA

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Source :

IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT

ISSN: 1932-4537

Year: 2022

Issue: 3

Volume: 19

Page: 2944-2956

5 . 3

JCR@2022

5 . 3 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:46

JCR Journal Grade:2

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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