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author:

Yang, Yang (Yang, Yang.) [1] | Rong, Chunming (Rong, Chunming.) [2] | Zheng, Xianghan (Zheng, Xianghan.) [3] | Cheng, Hongju (Cheng, Hongju.) [4] | Chang, Victor (Chang, Victor.) [5] | Luo, Xiangyang (Luo, Xiangyang.) [6] | Li, Zuoyong (Li, Zuoyong.) [7]

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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:

Authorization Cryptography Query processing Search engines

Community:

  • [ 1 ] [Yang, Yang]Fuzhou University, College of Computer and Data Science, Fujian, Fuzhou; 350116, China
  • [ 2 ] [Yang, Yang]Singapore Management University, School of Computing and Information Systems, 188065, Singapore
  • [ 3 ] [Rong, Chunming]University of Stavanger, Department of Electronic Engineering and Computer Science, Stavanger; 4021, Norway
  • [ 4 ] [Zheng, Xianghan]Fuzhou University, College of Computer and Data Science, Fujian, Fuzhou; 350116, China
  • [ 5 ] [Cheng, Hongju]Fuzhou University, College of Computer and Data Science, Fujian, Fuzhou; 350116, China
  • [ 6 ] [Chang, Victor]Aston University, Aston Business School, Department of Operations and Information Management, Birmingham; B4 7ET, United Kingdom
  • [ 7 ] [Luo, Xiangyang]State Key Laboratory of Mathematical Engineering and Advanced Computing, Henan, Zhengzhou; 450001, China
  • [ 8 ] [Li, Zuoyong]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

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:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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