Privacy-Preserving Multi-Keyword Search over the Encrypted Data for Multiple Users in Cloud Computing

被引:0
|
作者
Ranjan, Khirendra Alok [1 ]
Pasupulati, Syam Kumar [2 ]
Ramaligam, Subramanian [1 ]
机构
[1] Pondicherry Univ, Dept Comp Sci, Sch Engn & Technol, Pondicherry, India
[2] IDRBT, Hyderabad, India
关键词
Cloud computing; multi-keyword search; attribute based encryption; multiple users; privacy preserving;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the growing popularity of cloud computing technology, data owners are moving towards cloud to outsource their data. It provides large amount of computing and storage with ease of access and economic saving. However, the data is not safe in cloud server as it faces many challenges like access control and privacy. Hence, the data is encrypted before uploading to the cloud to preserve the privacy of sensitive data but search over the encrypted data is a challenging task. A searchable encryption technique is required to search over the encrypted data to maintain the high level of privacy. Recently, many searchable encryption schemes have been proposed but they focused on single owner and single user scenario. In this paper, we propose a new approach for privacy preserving of outsourced data in cloud to support multiple owners and multiple users. Our design is based on the attribute-based encryption and tree based index. We prove the security and the efficiency of our scheme in security and performance analysis respectively.
引用
收藏
页码:1079 / 1084
页数:6
相关论文
共 50 条
  • [41] A Privacy and dynamic Multi-keyword Ranked Search Scheme over Cloud Data Encrypted
    Saiharitha, V.
    Saritha, S. J.
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONICS SYSTEMS (ICCES), 2016, : 496 - 500
  • [42] Privacy-Preserving and Dynamic Multi-Attribute Conjunctive Keyword Search Over Encrypted Cloud Data
    Zhang, Lili
    Zhang, Yuqing
    Ma, Hua
    IEEE ACCESS, 2018, 6 : 34214 - 34225
  • [43] IMPROVEMENT IN SEARCH TIME USING MULTI-KEYWORD SEARCH OVER ENCRYPTED DATA IN CLOUD COMPUTING
    Kadve, Anagha Ramnath
    Vanjale, S. B.
    IIOAB JOURNAL, 2018, 9 (02) : 13 - 19
  • [44] A privacy-preserving multi-keyword ranked retrieval scheme in cloud computing
    Li, Yuancheng
    Hou, Haiyan
    Chen, Wenping
    INFORMATION SECURITY JOURNAL, 2020, 29 (06): : 284 - 296
  • [45] Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data
    Xu, Chang
    Wang, Ruijuan
    Zhu, Liehuang
    Zhang, Chuan
    Lu, Rongxing
    Sharif, Kashif
    IEEE TRANSACTIONS ON BIG DATA, 2023, 9 (03) : 805 - 817
  • [46] Privacy-Preserving Keyword-based Semantic Search over Encrypted Cloud Data
    Sun, Xingming
    Zhu, Yanling
    Xia, Zhihua
    Chen, Lihong
    INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2014, 8 (03): : 9 - 20
  • [47] Privacy-Preserving Keyword Search Schemes over Encrypted Cloud Data: An Extensive Analysis
    Sreekumari, Prasanthi
    2018 IEEE 4TH INTERNATIONAL CONFERENCE ON BIG DATA SECURITY ON CLOUD (BIGDATASECURITY), 4THIEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING, (HPSC) AND 3RD IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA AND SECURITY (IDS), 2018, : 114 - 120
  • [48] Secure and privacy-preserving keyword search retrieval over hashed encrypted cloud data
    Sathyabalaji, N.
    Komarasamy, G.
    Raja, Daniel Madan S.
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2020, 33 (05)
  • [49] Privacy-Preserving and Forward Public Key Encryption With Field-Free Multi-Keyword Search for Cloud Encrypted Data
    Lu, Yang
    Li, Jiguo
    IEEE TRANSACTIONS ON CLOUD COMPUTING, 2023, 11 (04) : 3619 - 3630
  • [50] Verifiable and Privacy-Preserving Ranked Multi-Keyword Search over Outsourced Data in Clouds
    Zhao, Meng
    Liu, Lin-Gang
    Ding, Yong
    Wang, Yujue
    Liang, Hai
    Tang, Shijie
    Wen, Baodong
    Liang, Weiyou
    2021 IEEE 15TH INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING (BIGDATASE 2021), 2021, : 95 - 102