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author:

Xie, Xin (Xie, Xin.) [1] | Chen, Yu-Chi (Chen, Yu-Chi.) [2] | Wang, Jun-Rui (Wang, Jun-Rui.) [3] | Wu, Yingjie (Wu, Yingjie.) [4]

Indexed by:

CPCI-S EI Scopus

Abstract:

The well-known open problem in public key encryption with keyword search is how to avoid internal adversaries as the server. Implicitly, the internal attack is implemented as follows. Upon receiving a trapdoor, the probability polynomial time internal adversary can always act as a sender to produce each ciphertext for each keyword if keyword space is bounded by a polynomial of the security parameter. Then, the adversary runs the test algorithm for the trapdoor and all produced ciphertext, and then infer the correct keyword. To overcome this problem, the original framework must be changed slightly. A fundamental goal is creates a secure bridge between the sender and receiver. It not only keeps testability of the server, but also avoids imitating a sender. Witness-based searchable encryption (WBSE) is a manner to realize the design goal. In this paper, we formalize an abstracted notion, witness-based searchable encryption with aggregative trapdoor. Under the notion, we present a nearly optimal solution for WBSE under the barrier with trapdoor size proportional to n (the number of senders). Comparing with the existing scheme with trapdoor size O(n), the proposed scheme is based on bilinear map, and offers size only in n.

Keyword:

Aggregative trapdoor Keyword search Public key encryption Searchable encryption Witness

Community:

  • [ 1 ] [Xie, Xin]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Fujian, Peoples R China
  • [ 2 ] [Wu, Yingjie]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Fujian, Peoples R China
  • [ 3 ] [Xie, Xin]Yuan Ze Univ, Dept Comp Sci & Engn, Taoyuan 320, Taiwan
  • [ 4 ] [Chen, Yu-Chi]Yuan Ze Univ, Dept Comp Sci & Engn, Taoyuan 320, Taiwan
  • [ 5 ] [Wang, Jun-Rui]Yuan Ze Univ, Dept Comp Sci & Engn, Taoyuan 320, Taiwan
  • [ 6 ] [Chen, Yu-Chi]Yuan Ze Univ, Innovat Ctr Big Data & Digital Convergence, Taoyuan 320, Taiwan

Reprint 's Address:

  • [Chen, Yu-Chi]Yuan Ze Univ, Dept Comp Sci & Engn, Taoyuan 320, Taiwan;;[Chen, Yu-Chi]Yuan Ze Univ, Innovat Ctr Big Data & Digital Convergence, Taoyuan 320, Taiwan

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Source :

SECURITY WITH INTELLIGENT COMPUTING AND BIG-DATA SERVICES

ISSN: 2194-5357

Year: 2020

Volume: 895

Page: 561-573

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Online/Total:164/10051803
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