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author:

Zhao, Q. (Zhao, Q..) [1] | Zeng, Q. (Zeng, Q..) [2] | Liu, X. (Liu, X..) [3]

Indexed by:

Scopus

Abstract:

An inner product encryption (IPE) scheme is a special type of functional encryption where the decryption algorithm, given a ciphertext related to a vector x and a secret key to a vector y, computes the inner product ⟨ x, y⟩. A function-hiding IPE scheme requires that the secret key reveals no unnecessary information on the vector y besides the privacy of the vector x. In this paper, we construct a function-hiding IPE scheme using the asymmetric bilinear pairing group setting of prime order. Compared with the existing similar schemes, our construction both reduces necessary storage complexity and computational complexity by a factor 2 or more and achieves simulation-based security, which is much stronger than indistinguishability-based security, under the External Decisional Linear assumption in the standard model. © Springer International Publishing AG, part of Springer Nature 2018.

Keyword:

Function privacy; Functional encryption; Inner product; Simulation-based security

Community:

  • [ 1 ] [Zhao, Q.]State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China
  • [ 2 ] [Zhao, Q.]College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China
  • [ 3 ] [Zeng, Q.]State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China
  • [ 4 ] [Liu, X.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 5 ] [Liu, X.]School of Information Systems, Singapore Management University, Singapore, Singapore

Reprint 's Address:

  • [Zeng, Q.]State Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing UniversityChina

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Source :

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISSN: 0302-9743

Year: 2018

Volume: 10631 LNCS

Page: 162-171

Language: English

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JCR@2005

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: 0

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