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author:

Xu, Yongliang (Xu, Yongliang.) [1] | Cheng, Hang (Cheng, Hang.) [2] | Liu, Ximeng (Liu, Ximeng.) [3] | Jiang, Changsong (Jiang, Changsong.) [4] | Zhang, Xinpeng (Zhang, Xinpeng.) [5] | Wang, Meiqing (Wang, Meiqing.) [6]

Indexed by:

Scopus SCIE

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.

Keyword:

cloud computing Cloud computing Collaboration cryptographic reverse firewall Cryptography Encryption keyword guessing attack Mobile computing Protection Protocols Public key searchable encryption Security Servers Threshold access control

Community:

  • [ 1 ] [Xu, Yongliang]Fuzhou Univ, Sch Math & Stat, Fuzhou 350108, Peoples R China
  • [ 2 ] [Cheng, Hang]Fuzhou Univ, Sch Math & Stat, Fuzhou 350108, Peoples R China
  • [ 3 ] [Wang, Meiqing]Fuzhou Univ, Sch Math & Stat, Fuzhou 350108, Peoples R China
  • [ 4 ] [Liu, Ximeng]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China
  • [ 5 ] [Jiang, Changsong]Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
  • [ 6 ] [Zhang, Xinpeng]Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R China

Reprint 's Address:

  • [Cheng, Hang]Fuzhou Univ, Sch Math & Stat, Fuzhou 350108, Peoples R 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

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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