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author:

Zhao, C. (Zhao, C..) [1] | Du, R. (Du, R..) [2] | He, K. (He, K..) [3] | Chen, J. (Chen, J..) [4] | Li, J. (Li, J..) [5] | Liu, X. (Liu, X..) [6] | Ning, J. (Ning, J..) [7]

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Scopus

Abstract:

In the realm of secure data outsourcing, Verifiable Dynamic Searchable Symmetric Encryption (VDSSE) enables a client to verify search results obtained from an untrusted server while protecting the data privacy. Nevertheless, the storage cost of verification structure in some schemes escalates linearly with the number of keywords, and the generation of proofs demands a substantial number of exponentiation operations. Moreover, some schemes overlook forward and backward security in the dynamic database. In this paper, we introduce FB-VDSSE, an advanced VDSSE scheme that ensures both forward and backward security. Specifically, we introduce an efficient Accumulation Commitment Verification Structure (AC-VS) that attains a commitment verification value with a constant-size storage cost. Based on the AC-VS, we further propose a forward and backward secure VDSSE scheme. Within this scheme, the server exclusively generates a membership proof at the corresponding index of the vector, reducing the computation cost associated with the search operation. Finally, we provide the security proof and functional comparison, demonstrating that our scheme effectively ensures forward security, backward security, and verifiability. Additionally, the experimental evaluations underscore the efficiency of our scheme, showcasing its superior performance compared to relevant schemes in practical scenarios. © 2014 IEEE.

Keyword:

backward security forward security searchable symmetric encryption Verifiability

Community:

  • [ 1 ] [Zhao C.]Wuhan University, Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan, 430072, China
  • [ 2 ] [Du R.]Wuhan University, Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan, 430072, China
  • [ 3 ] [He K.]Wuhan University, Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan, 430072, China
  • [ 4 ] [Chen J.]Wuhan University, Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan, 430072, China
  • [ 5 ] [Li J.]Fujian Normal University, College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou, 350117, China
  • [ 6 ] [Liu X.]Fuzhou University, College of Mathematics and Computer Science, Fujian, 350108, China
  • [ 7 ] [Ning J.]Fujian Normal University, Key Laboratory of Analytical Mathematics and Applications (Ministry of Education), Fujian Provincial Key Laboratory of Network Security and Cryptology, College of Computer and Cyber Security, Fuzhou, 350117, China
  • [ 8 ] [Ning J.]City University of Macau, Faculty of Data Science, 999078, Macao

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Source :

IEEE Internet of Things Journal

ISSN: 2327-4662

Year: 2024

Issue: 3

Volume: 12

Page: 2633-2645

8 . 2 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: 0

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