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author:

Zhao, Mingyang (Zhao, Mingyang.) [1] | Zhang, Chuan (Zhang, Chuan.) [2] | Wu, Tong (Wu, Tong.) [3] | Ni, Jianbing (Ni, Jianbing.) [4] | Liu, Ximeng (Liu, Ximeng.) [5] (Scholars:刘西蒙) | Zhu, Liehuang (Zhu, Liehuang.) [6]

Indexed by:

EI Scopus SCIE

Abstract:

In this paper, we propose a revocable and privacy-preserving bilateral access control scheme (named PriBAC) for general cloud data sharing (i.e., end-cloud-based data sharing). PriBAC ensures that preference matching is successful only when both parties' preferences are satisfied simultaneously. Otherwise, nothing is leaked beyond whether the preference matching occurs. There are three challenges in designing PriBAC. The first challenge is protecting matching information, i.e., concealing two preference matching processes, in a single cloud server. The second challenge is protecting preference content while preventing receivers from receiving much useless information. The third challenge is how to integrate efficient user revocation mechanisms into bilateral access control to handle frequent user revocation cases in practical cloud data sharing applications. To address the above challenges, the punchline in PriBAC is to leverage Newton's interpolation formula-based secret sharing to enrich the matchmaking encryption technique for constructing a privacy-preserving preference matching mechanism. To achieve efficient user revocation, we integrate a unique symbol into each user's keys and efficiently revoke users by invaliding the corresponding keys. Security analysis proves that PriBAC can resist the chosen-ciphertext attack and preserves preference privacy and matching privacy. Experiments show that PriBAC achieves approximately 3x user performance improvement compared with current state-of-the-art related schemes.

Keyword:

Access control bilateral access control Cloud data sharing Diseases Encryption Medical services Privacy privacy preservation Receivers Servers

Community:

  • [ 1 ] [Zhao, Mingyang]Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
  • [ 2 ] [Zhang, Chuan]Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
  • [ 3 ] [Zhu, Liehuang]Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
  • [ 4 ] [Zhang, Chuan]Guangdong Prov Key Lab Novel Secur Intelligence Te, Shenzhen 518055, Guangdong, Peoples R China
  • [ 5 ] [Wu, Tong]Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
  • [ 6 ] [Ni, Jianbing]Queens Univ, Dept Elect & Comp Engn, Kingston, ON K7L 3N6, Canada
  • [ 7 ] [Liu, Ximeng]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China

Reprint 's Address:

  • [Zhang, Chuan]Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China;;

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Source :

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY

ISSN: 1556-6013

Year: 2024

Volume: 19

Page: 5389-5404

6 . 3 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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