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
  • [31] Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud
    Wang, Boyang
    Li, Baochun
    Li, Hui
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2015, 8 (01) : 92 - 106
  • [32] Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud
    Dongare, Dnyanada
    Kadroli, Vijayalakshmi
    PROCEEDINGS OF 2016 ONLINE INTERNATIONAL CONFERENCE ON GREEN ENGINEERING AND TECHNOLOGIES (IC-GET), 2016,
  • [33] Public auditing for shared cloud data with efficient and secure group management
    Tian, Hui
    Nan, Fulin
    Jiang, Hong
    Chang, Chin-Chen
    Ning, Jianting
    Huang, Yongfeng
    INFORMATION SCIENCES, 2019, 472 : 107 - 125
  • [34] Public Auditing: Cloud Data Storage
    Parwekar, Pritee
    Saxena, Mayuri
    Kumar, Prakash
    Saxena, Sakshi
    2014 5TH INTERNATIONAL CONFERENCE CONFLUENCE THE NEXT GENERATION INFORMATION TECHNOLOGY SUMMIT (CONFLUENCE), 2014, : 169 - 173
  • [35] A Blockchain-Assisted Certificateless Public Cloud Data Integrity Auditing Scheme
    Du, Jianming
    Dong, Guofang
    Ning, Juangui
    Xu, Zhengnan
    Yang, Ruicheng
    IEEE ACCESS, 2023, 11 : 123018 - 123029
  • [36] An Authorized Public Auditing Scheme for Dynamic Big Data Storage in Cloud Computing
    Yu, Han
    Lu, Xiuqing
    Pan, Zhenkuan
    IEEE ACCESS, 2020, 8 (08): : 151465 - 151473
  • [37] Efficient Auditing Scheme for Secure Data Storage in Fog-to-Cloud Computing
    Zhang, Xingjun
    Si, Wei
    IEEE ACCESS, 2021, 9 : 37951 - 37960
  • [38] Efficient and Secure Group based Collusion Resistant Public Auditing Scheme for Cloud Storage
    Chaudhari, Smita
    Swain, Gandharba
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (03) : 472 - 481
  • [39] Comments on "A Public Auditing Protocol With Novel Dynamic Structure for Cloud Data"
    Li, Xiong
    Liu, Shanpeng
    Lu, Rongxing
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 15 : 2881 - 2883
  • [40] Public Data Auditing with Constrained Auditing Number for Cloud Storage
    Yang, Guangyang
    Xia, Hui
    Shen, Wenting
    Jiang, Xiuxiu
    Yu, Jia
    INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2015, 9 (09): : 21 - 32