Blockchain-based transparent and certificateless data integrity auditing for cloud storage

被引:0
|
作者
Miao, Yapeng [1 ]
Miao, Ying [2 ]
Miao, Xuexue [3 ]
机构
[1] Wuhan Univ, Elect Informat Sch, Wuhan, Peoples R China
[2] Beijing Inst Technol, Sch Comp Sci, Beijing, Peoples R China
[3] Hunan Acad Agr Sci, Hunan Prov Rice Res Inst, Changsha, Peoples R China
关键词
blockchain; certificateless cryptography; data integrity auditing; transparency; SCHEME;
D O I
10.1002/cpe.8285
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Cloud storage provides a convenient way of collaboration and sharing. An increasing number of users are becoming more open to sharing their data with others. Consequently, the integrity of shared data has started to draw significant attention due to the loss control of it. Remote data integrity techniques can solve this problem. To resist the collusion between the third party auditor and the cloud server, existing integrity auditing schemes utilize blockchain to replace the third party auditor to do some work. However, these schemes still involve collusion between the third party auditor and the miners and cannot guarantee the third party auditor to execute the auditing process honestly. Considering this, we propose a blockchain-based transparent and certificateless data integrity auditing scheme. Specifically, we design the smart contract combining the commitment technology to generate the challenge information and record the auditing information. Besides, we combine certificateless cryptography and the blind technology to achieve the privacy-preserving. The proposed scheme can resist collusion, improve the transparency of the auditing process, protect the data privacy and reduce the overhead of certificate management and key management. The security analysis and performance evaluation demonstrate the security and efficiency of the scheme.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Blockchain-Based Transparent Integrity Auditing and Encrypted Deduplication for Cloud Storage
    Li, Shanshan
    Xu, Chunxiang
    Zhang, Yuan
    Du, Yicong
    Chen, Kefei
    [J]. IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 16 (01) : 134 - 146
  • [2] A survey on blockchain-based integrity auditing for cloud data
    Han, Haoxiang
    Fei, Shufan
    Yan, Zheng
    Zhou, Xiaokang
    [J]. DIGITAL COMMUNICATIONS AND NETWORKS, 2022, 8 (05) : 591 - 603
  • [3] Blockchain-based integrity auditing for shared data in cloud storage with file prediction
    Liu, Zhenpeng
    Wang, Shuo
    Liu, Yi
    [J]. COMPUTER NETWORKS, 2023, 236
  • [4] Blockchain-Based Deduplication and Integrity Auditing Over Encrypted Cloud Storage
    Song, Mingyang
    Hua, Zhongyun
    Zheng, Yifeng
    Huang, Hejiao
    Jia, Xiaohua
    [J]. IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2023, 20 (06) : 4928 - 4945
  • [5] Blockchain-based public auditing for big data in cloud storage
    Li, Jiaxing
    Wu, Jigang
    Jiang, Guiyuan
    Srikanthan, Thambipillai
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2020, 57 (06)
  • [6] A Blockchain-Assisted Certificateless Public Cloud Data Integrity Auditing Scheme
    Du, Jianming
    Dong, Guofang
    Ning, Juangui
    Xu, Zhengnan
    Yang, Ruicheng
    [J]. IEEE ACCESS, 2023, 11 : 123018 - 123029
  • [7] Blockchain-Based Decentralized Public Auditing for Cloud Storage
    Shu, Jiangang
    Zou, Xing
    Jia, Xiaohua
    Zhang, Weizhe
    Xie, Ruitao
    [J]. IEEE TRANSACTIONS ON CLOUD COMPUTING, 2022, 10 (04) : 2366 - 2380
  • [8] A Blockchain-Based Collaborative Auditing Scheme for Cloud Storage
    Xiao, Jie
    Huang, Hui
    Wu, Chenhuang
    Chen, Qunshan
    Huang, Zhenjie
    [J]. CYBERSPACE SAFETY AND SECURITY, CSS 2022, 2022, 13547 : 147 - 159
  • [9] Blockchain-Based Shared Data Integrity Auditing and Deduplication
    Miao, Ying
    Gai, Keke
    Zhu, Liehuang
    Choo, Kim-Kwang Raymond
    Vaidya, Jaideep
    [J]. IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2024, 21 (04) : 3688 - 3703
  • [10] Blockchain-Based Distributed Data Integrity Auditing Scheme
    Han Baofu
    Li Hui
    Wei Chuansi
    [J]. 2021 IEEE 6TH INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2021), 2021, : 143 - 149