LSDedup: Layered Secure Deduplication for Cloud Storage

被引:4
|
作者
Song, Mingyang [1 ]
Hua, Zhongyun [1 ,2 ]
Zheng, Yifeng [1 ]
Huang, Hejiao [1 ,2 ]
Jia, Xiaohua [1 ,3 ]
机构
[1] Harbin Inst Technol, Sch Comp Sci & Technol, Shenzhen 518055, Guangdong, Peoples R China
[2] Guangdong Prov Key Lab Novel Secur Intelligence T, Shenzhen 518055, Peoples R China
[3] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Cloud storage; encrypted data deduplication; layered deduplication; secure deduplication; cloud storage security;
D O I
10.1109/TC.2023.3331953
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
To implement encrypted data deduplication in a cloud storage system, users must encrypt files using special encryption algorithms (e.g., convergent encryption (CE)), which cannot provide strong protection. The confidential level of an outsourced file is determined by the user himself/herself subjectively or by the owner number of the file objectively. These files owned by a few users are considered strictly confidential and require strong protection. In this paper, we design, analyze and implement LSDedup, which attains a high storage efficiency while providing strictly confidential files (SCFiles) with strong protection. LSDedup allows cloud users to securely interact with cloud servers to check the confidential level of an outsourced file. Users encrypt the SCFiles using standard symmetric encryption algorithms to achieve a high security level, whereas encrypting the less confidential files (LSFiles) using CE such that cloud servers can perform deduplication. LSDedup is designed to prevent cloud servers reporting fake confidential level and a fake file user claiming the ownership of the file. Formal analysis is provided to justify its security. Besides, we implement an LSDedup prototype using Alibaba Cloud as backend storage. Our evaluations demonstrate that LSDedup can work with existing cloud service providers' APIs and achieves modest performance overhead.
引用
下载
收藏
页码:422 / 435
页数:14
相关论文
共 50 条
  • [1] Secure Deduplication on Public Cloud Storage
    Graupner, Hendrik
    Torkura, Kennedy A.
    Sukmana, Muhammad I. H.
    Meinel, Christoph
    ICBDC 2019: PROCEEDINGS OF 2019 4TH INTERNATIONAL CONFERENCE ON BIG DATA AND COMPUTING, 2019, : 34 - 41
  • [2] Secure Image Deduplication in Cloud Storage
    Gang, Han
    Yan, Hongyang
    Xu, Lingling
    INFORMATION AND COMMUNICATION TECHNOLOGY, 2015, 9357 : 243 - 251
  • [3] Secure proof of storage with deduplication for cloud storage systems
    Shin, Youngjoo
    Koo, Dongyoung
    Hur, Junbeom
    Yun, Joobeom
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (19) : 19363 - 19378
  • [4] Secure proof of storage with deduplication for cloud storage systems
    Youngjoo Shin
    Dongyoung Koo
    Junbeom Hur
    Joobeom Yun
    Multimedia Tools and Applications, 2017, 76 : 19363 - 19378
  • [5] FuzzyDedup: Secure Fuzzy Deduplication for Cloud Storage
    Jiang, Tao
    Yuan, Xu
    Chen, Yuan
    Cheng, Ke
    Wang, Liangmin
    Chen, Xiaofeng
    Ma, Jianfeng
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2023, 20 (03) : 2466 - 2483
  • [6] Cloud Storage: A Review on Secure Deduplication and Issues
    Joice, S. Annie
    Mohamed, M. A. Maluk
    JOURNAL OF INTERNET TECHNOLOGY, 2019, 20 (03): : 861 - 873
  • [7] A Secure Hierarchical Deduplication System in Cloud Storage
    Yao, Xin
    Lin, Yaping
    Liu, Qin
    Zhang, Yanchao
    2016 IEEE/ACM 24TH INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS), 2016,
  • [8] Efficient and Secure File Deduplication in Cloud Storage
    Shin, Youngjoo
    Kim, Kwangjo
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2014, E97D (02): : 184 - 197
  • [9] A Secure Data Deduplication Scheme for Cloud Storage
    Stanek, Jan
    Sorniotti, Alessandro
    Androulaki, Elli
    Kencl, Lukas
    FINANCIAL CRYPTOGRAPHY AND DATA SECURITY, FC 2014, 2014, 8437 : 99 - 118
  • [10] Secure Cloud Storage with Joint Deduplication and Erasure Protection
    Vestergaard, Rasmus
    Pagnin, Elena
    Kundu, Rohon
    Lucani, Daniel E.
    2022 IEEE 15TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (IEEE CLOUD 2022), 2022, : 554 - 563