NaEPASC:a novel and efficient public auditing scheme for cloud data

被引:3
|
作者
Shuang TAN
Yan JIA
机构
[1] SchoolofComputer,NationalUniversityofDefenseTechnology
关键词
D O I
暂无
中图分类号
TP308 [机房];
学科分类号
摘要
Cloud computing is deemed the next-generation information technology(IT) platform, in which a data center is crucial for providing a large amount of computing and storage resources for various service applications with high quality guaranteed. However, cloud users no longer possess their data in a local data storage infrastructure,which would result in auditing for the integrity of outsourced data being a challenging problem, especially for users with constrained computing resources. Therefore, how to help the users complete the verification of the integrity of the outsourced data has become a key issue. Public verification is a critical technique to solve this problem, from which the users can resort to a third-party auditor(TPA) to check the integrity of outsourced data. Moreover,an identity-based(ID-based) public key cryptosystem would be an efficient key management scheme for certificatebased public key setting. In this paper, we combine ID-based aggregate signature and public verification to construct the protocol of provable data integrity. With the proposed mechanism, the TPA not only verifies the integrity of outsourced data on behalf of cloud users, but also alleviates the burden of checking tasks with the help of users' identity. Compared to previous research, the proposed scheme greatly reduces the time of auditing a single task on the TPA side. Security analysis and performance evaluation results show the high efficiency and security of the proposed scheme.
引用
收藏
页码:794 / 804
页数:11
相关论文
共 50 条
  • [21] Efficient and secure auditing scheme for privacy preserving data storage in cloud
    Anbuchelian, S.
    Sowmya, C. M.
    Ramesh, C.
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 4): : S9767 - S9775
  • [22] Efficient and secure auditing scheme for outsourced big data with dynamicity in cloud
    Gan, Qingqing
    Wang, Xiaoming
    Fang, Xuefeng
    SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61 (12)
  • [23] Efficient and secure auditing scheme for privacy preserving data storage in cloud
    S. Anbuchelian
    C. M. Sowmya
    C. Ramesh
    Cluster Computing, 2019, 22 : 9767 - 9775
  • [24] Efficient and secure auditing scheme for outsourced big data with dynamicity in cloud
    Qingqing GAN
    Xiaoming WANG
    Xuefeng FANG
    Science China(Information Sciences), 2018, 61 (12) : 97 - 111
  • [25] Efficient and secure auditing scheme for outsourced big data with dynamicity in cloud
    Qingqing Gan
    Xiaoming Wang
    Xuefeng Fang
    Science China Information Sciences, 2018, 61
  • [26] A secure and efficient public auditing scheme using RSA algorithm for cloud storage
    Zhiyan Xu
    Libing Wu
    Muhammad Khurram Khan
    Kim-Kwang Raymond Choo
    Debiao He
    The Journal of Supercomputing, 2017, 73 : 5285 - 5309
  • [27] Secure and efficient privacy-preserving public auditing scheme for cloud storage
    Worku, Solomon Guadie
    Xu, Chunxiang
    Zhao, Jining
    He, Xiaohu
    COMPUTERS & ELECTRICAL ENGINEERING, 2014, 40 (05) : 1703 - 1713
  • [28] A secure and efficient public auditing scheme using RSA algorithm for cloud storage
    Xu, Zhiyan
    Wu, Libing
    Khan, Muhammad Khurram
    Choo, Kim-Kwang Raymond
    He, Debiao
    JOURNAL OF SUPERCOMPUTING, 2017, 73 (12): : 5285 - 5309
  • [29] Secure and efficient cloud data deduplication supporting dynamic data public auditing
    Ma, Hua
    Han, Xiaoyu
    Peng, Ting
    Zhang, Linchao
    International Journal of Network Security, 2018, 20 (06) : 1074 - 1084
  • [30] An Efficient Public Auditing Method with Periodic Verification for Data Integrity in Cloud
    Arjun, U.
    Vinay, S.
    EMERGING RESEARCH IN ELECTRONICS, COMPUTER SCIENCE AND TECHNOLOGY, ICERECT 2018, 2019, 545 : 285 - 291