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author:

Yang, Y. (Yang, Y..) [1] | Rong, C. (Rong, C..) [2] | Zheng, X. (Zheng, X..) [3] | Cheng, H. (Cheng, H..) [4] | Chang, V. (Chang, V..) [5] | Luo, X. (Luo, X..) [6] | Li, Z. (Li, Z..) [7]

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Scopus

Abstract:

Many existing searchable encryption schemes are inflexible in retrieval patterns. The data usage authorization is almost permanent valid as long as the user is not revoked. This 'all-or-nothing' authorization mode is not compatible with the 'pay-as-you-use' commercial billing model. In this article, we propose a new notion called time controlled expressive predicate query with accountable anonymity. It realizes time controlled data query, where a time server issues time token to authorize search privilege in designated time period. The data users can anonymously query on encrypted data and the anonymity is accountable in a way that the trusted authority is able to deanonymize data users if they misbehave in the system. The underlying techniques are anonymous credential, Pederson commitment and non-interactive zero-knowledge proof. We firstly design an efficient expressive predicate query (EPQ) scheme, which is proved secure to protect the privacy of expressive search predicate. Based on EPQ, we present a concrete system instantiation, which realizes key-escrow free and time token nontransferability. The formal definition and security models are given out. The system is formally proved indistinguishable against chosen keyword-set attacks, unforgeable of time tokens and accountable of anonymous users. The comparison and experiment results demonstrate its scalability and efficiency.  © 2008-2012 IEEE.

Keyword:

accountable anonymity expressive keyword search Searchable encryption time control zero-knowledge proof

Community:

  • [ 1 ] [Yang Y.]Fuzhou University, College of Computer and Data Science, Fujian, Fuzhou, 350116, China
  • [ 2 ] [Yang Y.]Singapore Management University, School of Computing and Information Systems, 188065, Singapore
  • [ 3 ] [Rong C.]University of Stavanger, Department of Electronic Engineering and Computer Science, Stavanger, 4021, Norway
  • [ 4 ] [Zheng X.]Fuzhou University, College of Computer and Data Science, Fujian, Fuzhou, 350116, China
  • [ 5 ] [Cheng H.]Fuzhou University, College of Computer and Data Science, Fujian, Fuzhou, 350116, China
  • [ 6 ] [Chang V.]Aston University, Aston Business School, Department of Operations and Information Management, Birmingham, B4 7ET, United Kingdom
  • [ 7 ] [Luo X.]State Key Laboratory of Mathematical Engineering and Advanced Computing, Henan, Zhengzhou, 450001, China
  • [ 8 ] [Li Z.]Minjiang University, Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Fujian, Fuzhou, 350108, China

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IEEE Transactions on Services Computing

ISSN: 1939-1374

Year: 2023

Issue: 2

Volume: 16

Page: 1444-1457

5 . 5

JCR@2023

5 . 5 0 0

JCR@2023

ESI HC Threshold:32

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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