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作者:

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

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EI Scopus SCIE

摘要:

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.

关键词:

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

作者机构:

  • [ 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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来源 :

IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT

ISSN: 1932-4537

年份: 2022

期: 3

卷: 19

页码: 2944-2956

5 . 3

JCR@2022

5 . 3 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:46

JCR分区:2

中科院分区:2

被引次数:

WoS核心集被引频次: 5

SCOPUS被引频次: 8

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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