Efficient Public Encryption Scheme with Keyword Search for Cloud Storage

被引:0
|
作者
Guo L. [1 ,2 ]
Li Z. [1 ]
Hu L. [3 ]
机构
[1] School of Computer and Information Technology, Shanxi University, Taiyuan
[2] Research Institute of Big Data Science and Industry, Shanxi University, Taiyuan
[3] State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing
基金
中国国家自然科学基金;
关键词
Bilinear pairing; Keyword search; Online and offline keyword guessing attacks; Searchable encryption; Trapdoor;
D O I
10.7544/issn1000-1239.2020.20190671
中图分类号
学科分类号
摘要
Public key encryption with keyword search (PEKS) is a promise cryptography technique in cloud storage which not only can ensure the privacy of stored data but also has search function. In order to resist internal off-line keyword guessing attack, the current solution is to introduce the sender's secret key and public key to make the keyword ciphertext to realize authentication function. But in these schemes, the receiver must delegate the sender in advance. This situation does not meet the actual requirements that the receiver does not want to delegate the sender. In order to satisfy these applications, we propose an efficient PEKS scheme and prove its security in the standard model. Our PEKS scheme achieves three advantages: Firstly, by introducing the identity of the sender and the server, our scheme can resist the internal and external off-line keyword guessing attack. Furthermore, the scheme doesn't need to delegate the sender; secondly, by introducing the server's private key and public key, the trapdoor can be transmitted by a public channel; thirdly, because anyone can verify the correctness of the keyword search ciphertext of keyword search, the scheme can resist chosen keyword ciphertext attack. © 2020, Science Press. All right reserved.
引用
收藏
页码:1404 / 1414
页数:10
相关论文
共 50 条
  • [21] A New Public Key Encryption with Conjunctive Field Keyword Search Scheme
    Hwang, Min-Shiang
    Hsu, Shih-Ting
    Lee, Cheng-Chi
    [J]. INFORMATION TECHNOLOGY AND CONTROL, 2014, 43 (03): : 277 - 288
  • [22] Efficient Keyword Search Scheme in Encrypted Cloud Computing Environment
    Shu, Jiangang
    Sun, Xingming
    Zhou, Lu
    Wang, Jin
    [J]. INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2014, 7 (05): : 65 - 76
  • [23] Attribute-based encryption scheme with multi-keyword search and supporting attribute revocation in cloud storage
    Wang, Shangping
    Yao, Lisha
    Zhang, Yaling
    [J]. PLOS ONE, 2018, 13 (10):
  • [24] Efficient public-key searchable encryption against inside keyword guessing attacks for cloud storage
    Wu, Axin
    Li, Fagen
    Xin, Xiangjun
    Zhang, Yinghui
    Zhu, Jianhao
    [J]. JOURNAL OF SYSTEMS ARCHITECTURE, 2024, 149
  • [25] A Public-key Encryption with Multi-keyword Search Scheme for Cloud-based Smart Grids
    Zhang, Dong
    Fan, Qing
    Qiao, Hongyi
    Luo, Min
    [J]. 2021 IEEE CONFERENCE ON DEPENDABLE AND SECURE COMPUTING (DSC), 2021,
  • [26] An error-tolerant keyword search scheme based on public-key encryption in secure cloud computing
    Bo, Yang
    Zhang, Mingwu
    Du, Jun-Qiang
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2016, 28 (04): : 1083 - 1093
  • [27] Public key encryption with keyword search
    Boneh, D
    Di Crescenzo, G
    Ostrovsky, R
    Persiano, G
    [J]. ADVANCES IN CRYPTOLOGY - EUROCRYPT 2004, PROCEEDINGS, 2004, 3027 : 506 - 522
  • [28] An efficient and secure searchable public key encryption scheme with privacy protection for cloud storage
    Libing Wu
    Biwen Chen
    Sherali Zeadally
    Debiao He
    [J]. Soft Computing, 2018, 22 : 7685 - 7696
  • [29] An efficient and secure searchable public key encryption scheme with privacy protection for cloud storage
    Wu, Libing
    Chen, Biwen
    Zeadally, Sherali
    He, Debiao
    [J]. SOFT COMPUTING, 2018, 22 (23) : 7685 - 7696
  • [30] A multi-user searchable encryption scheme with keyword authorization in a cloud storage
    Deng, Zuojie
    Li, Kenli
    Li, Keqin
    Zhou, Jingli
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 72 : 208 - 218