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author:

Xu, Y. (Xu, Y..) [1] | Cheng, H. (Cheng, H..) [2] | Liu, X. (Liu, X..) [3] | Jiang, C. (Jiang, C..) [4] | Zhang, X. (Zhang, X..) [5] | Wang, M. (Wang, M..) [6]

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Scopus

Abstract:

Collaborative searchable encryption for group data sharing enables a consortium of authorized users to collectively generate trapdoors and decrypt search results. However, existing countermeasures may be vulnerable to a keyword guessing attack (KGA) initiated by malicious insiders, compromising the confidentiality of keywords. Simultaneously, these solutions often fail to guard against hostile manufacturers embedding backdoors, leading to potential information leakage. To address these challenges, we propose a novel privacy-preserving collaborative searchable encryption (PCSE) scheme tailored for group data sharing. This scheme introduces a dedicated keyword server to export server-derived keywords, thereby withstanding KGA attempts. Based on this, PCSE deploys cryptographic reverse firewalls to thwart subversion attacks. To overcome the single point of failure inherent in a single keyword server, the export of server-derived keywords is collaboratively performed by multiple keyword servers. Furthermore, PCSE extends its capabilities to support efficient multi-keyword searches and result verification and incorporates a rate-limiting mechanism to effectively slow down adversaries' online KGA attempts. Security analysis demonstrates that our scheme can resist KGA and subversion attack. Theoretical analyses and experimental results show that PCSE is significantly more practical for group data sharing systems compared with state-of-the-art works.  © 2002-2012 IEEE.

Keyword:

Cloud computing cryptographic reverse firewall keyword guessing attack searchable encryption threshold access control

Community:

  • [ 1 ] [Xu Y.]Fuzhou University, School of Mathematics and Statistics, Fuzhou, 350108, China
  • [ 2 ] [Cheng H.]Fuzhou University, School of Mathematics and Statistics, Fuzhou, 350108, China
  • [ 3 ] [Liu X.]Fuzhou University, College of Computer and Data Science, Fuzhou, 350108, China
  • [ 4 ] [Jiang C.]University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, 611731, China
  • [ 5 ] [Zhang X.]Fudan University, School of Computer Science, Shanghai, 200433, China
  • [ 6 ] [Wang M.]Fuzhou University, School of Mathematics and Statistics, Fuzhou, 350108, China

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Source :

IEEE Transactions on Mobile Computing

ISSN: 1536-1233

Year: 2025

Issue: 5

Volume: 24

Page: 4558-4572

7 . 7 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 1

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