Multiple-replica integrity auditing schemes for cloud data storage

被引:8
|
作者
Lin, Yangfei [1 ]
Li, Jie [2 ]
Jia, Xiaohua [3 ]
Ren, Kui [4 ]
机构
[1] Univ Tsukuba, Grad Sch Syst & Informat Engn, Ibaraki, Japan
[2] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
[3] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
[4] SUNY Buffalo, Dept Comp Sci & Engn, New York, NY USA
来源
关键词
data auditing; data integrity; multicloud data storage; multireplicas; DATA POSSESSION; BIG DATA; SECURITY; PROTOCOL; PRIVACY;
D O I
10.1002/cpe.5356
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Cloud computing has been an essential technology for providing on-demand computing resources as a service on the Internet. Not only enterprises but also individuals can outsource their data to the cloud without worrying about purchase and maintenance cost. The cloud storage system, however, is not fully trustable. Cloud data integrity auditing is crucial for defending against the security threats of data in the untrusted multicloud environment. Storing multiple replicas is a commonly used strategy for the availability and reliability of critical data. In this paper, we summarize and analyze the state-of-the-art multiple-replica integrity auditing schemes in cloud data storage. We present the system model and security threats of outsourcing data to the cloud with classification of ongoing developments. We also summarize the existing data integrity auditing schemes for multicloud data storage. The important open issues and potential research directions are addressed.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Multiple-Replica Exchange with Information Retrieval
    Athenes, Manuel
    Calvo, Florent
    CHEMPHYSCHEM, 2008, 9 (16) : 2332 - 2339
  • [22] MR-PDP: Multiple-Replica Provable Data Possession
    Curtmola, Reza
    Khan, Osama
    Burns, Randal
    Ateniese, Giuseppe
    28TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS, VOLS 1 AND 2, PROCEEDINGS, 2008, : 411 - +
  • [23] Efficient Data Integrity Auditing Supporting Provable Data Update for Secure Cloud Storage
    Yang, Changsong
    Song, Bowen
    Ding, Yong
    Ou, Jiangtao
    Fan, Chengyuan
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [24] Provable data deletion from efficient data integrity auditing and insertion in cloud storage
    Yang, Changsong
    Liu, Yueling
    Zhao, Feng
    Zhang, Shubin
    COMPUTER STANDARDS & INTERFACES, 2022, 82
  • [25] DIADD: Secure Deduplication and Efficient Data Integrity Auditing With Data Dynamics for Cloud Storage
    Zheng, Xiangshuo
    Shen, Wenting
    Su, Ye
    Gao, Yuan
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2025, 22 (01): : 299 - 316
  • [26] Attribute-Based Cloud Data Integrity Auditing for Secure Outsourced Storage
    Yu, Yong
    Li, Yannan
    Yang, Bo
    Susilo, Willy
    Yang, Guomin
    Bai, Jian
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2020, 8 (02) : 377 - 390
  • [27] Data integrity auditing for secure cloud storage using user behavior prediction
    Tian, Junfeng
    Wang, Haoning
    Wang, Meng
    COMPUTERS & SECURITY, 2021, 105
  • [28] Blockchain-based transparent and certificateless data integrity auditing for cloud storage
    Miao, Yapeng
    Miao, Ying
    Miao, Xuexue
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2024, 36 (27):
  • [29] Public Integrity Auditing of Shared Encrypted Data within Cloud Storage Group
    Han, Chunxia
    Wang, Linjie
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [30] TEEMRDA: Leveraging trusted execution environments for multi-replica data auditing in cloud storage
    Tian, Hui
    Wang, Mengcheng
    Quan, Hanyu
    Chang, Chin-Chen
    Vasilakos, Athanasios V.
    COMPUTERS & SECURITY, 2025, 150