Certificate-based multi-copy cloud storage auditing supporting data dynamics

被引:0
|
作者
Zhou, Hao [1 ]
Shen, Wenting [1 ]
Liu, Jinlu [2 ]
机构
[1] College of Computer Science and Technology, Qingdao University, Qingdao,266071, China
[2] School of Mathematics, Shandong University, Jinan,250100, China
来源
Computers and Security | 2025年 / 148卷
基金
中国国家自然科学基金;
关键词
Cloud security;
D O I
10.1016/j.cose.2024.104096
中图分类号
学科分类号
摘要
With the advent of cloud computing, users are increasingly choosing to store their data on cloud. As a result, data integrity and availability have emerged as key concerns for data owners. Users expect to store multiple copies of their data to cloud and ensure the integrity of these data copies. Currently, numerous multi-copy cloud storage auditing schemes have been proposed. However, most of them depend on public key infrastructure, identity-based cryptography, or certificateless cryptography. These schemes encounter challenges such as complicated certificate management, key escrow, or the necessity for a secure channel for distributing keys, respectively. Furthermore, most of them are not resilient to copy-summation attack. To address the above problems, we propose a certificate-based multi-copy cloud storage auditing scheme supporting data dynamics. We design a novel dynamic structure named Leaves Merkle hash tree (LMHT) to achieve multi-copy dynamic updates. Different from traditional Merkle hash trees, LMHT has significant advantages in data deletion. In addition, the proposed scheme can resist copy-summation attack, in which cloud cannot pass the verification if it only stores summation of all copies without storing data blocks’ all copies. Security analysis and performance evaluation demonstrate that the proposed scheme is secure and efficient. © 2024 Elsevier Ltd
引用
收藏
相关论文
共 50 条
  • [1] Efficient Certificateless Multi-Copy Integrity Auditing Scheme Supporting Data Dynamics
    Zhou, Lei
    Fu, Anmin
    Yang, Guomin
    Wang, Huaqun
    Zhang, Yuqing
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2022, 19 (02) : 1118 - 1132
  • [2] RDIMM: Revocable and dynamic identity-based multi-copy data auditing for multi-cloud storage
    Guo, Zirui
    Zhang, Kai
    Wei, Lifei
    Chen, Siyuan
    Wang, Liangliang
    JOURNAL OF SYSTEMS ARCHITECTURE, 2023, 141
  • [3] Multi-copy dynamic cloud data auditing model based on IMB tree
    Zhang, Yifan
    Lin, Guoyuan
    Gu, Hao
    Zhuang, Fu
    Wei, Guoying
    ENTERPRISE INFORMATION SYSTEMS, 2021, 15 (02) : 248 - 269
  • [4] Integrity Auditing for Multi-Copy in Cloud Storage Based on Red-Black Tree
    Liu, Zhenpeng
    Liu, Yi
    Yang, Xianwei
    Li, Xiaofei
    IEEE ACCESS, 2021, 9 : 75117 - 75131
  • [5] An improved multi-copy cloud data auditing scheme and its application
    Tu, Zheng
    Wang, Xu An
    Du, Weidong
    Wang, Zexi
    Lv, Ming
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2023, 35 (03) : 120 - 130
  • [6] Efficient Blockchain-Based Data Integrity Auditing for Multi-Copy in Decentralized Storage
    Zhang, Qingyang
    Zhang, Zhiming
    Cui, Jie
    Zhong, Hong
    Li, Yang
    Gu, Chengjie
    He, Debiao
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 34 (12) : 3162 - 3173
  • [7] A Secure Certificate-Based Data Integrity Auditing Protocol with Cloud Service Providers
    Tian, Yuan
    Zhou, Xuan
    Zhou, Tanping
    Zhong, Weidong
    Li, Ruifeng
    Yang, Xiaoyuan
    MATHEMATICS, 2024, 12 (13)
  • [8] Provable multi-copy dynamic data possession in cloud storage
    Ren J.
    Wang J.
    Chen X.
    Ye X.
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2017, 44 (06): : 156 - 161and174
  • [9] Lightweight Certificate-Based Public/Private Auditing Scheme Based on Bilinear Pairing for Cloud Storage
    Wang, Feng
    Xu, Li
    Choo, Kim-Kwang Raymond
    Zhang, Yuexin
    Wang, Huaqun
    Li, Jiguo
    IEEE ACCESS, 2020, 8 : 2258 - 2271
  • [10] An Efficient Certificate-Based Data Integrity Auditing Protocol for Cloud-Assisted WBANs
    Li, Yumei
    Zhang, Futai
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (13): : 11513 - 11523