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author:

Yang, Yang (Yang, Yang.) [1] | Zheng, Xianghan (Zheng, Xianghan.) [2] | Rong, Chunming (Rong, Chunming.) [3] | Guo, Wenzhong (Guo, Wenzhong.) [4]

Indexed by:

EI

Abstract:

Cloud computing provides flexible data management and ubiquitous data access. However, the storage service provided by cloud server is not fully trusted by customers. Searchable encryption could simultaneously provide the functions of confidentiality protection and privacy-preserving data retrieval, which is a vital tool for secure storage. In this paper, we propose an efficient large universe regular language searchable encryption scheme for the cloud, which is privacy-preserving and secure against the off-line keyword guessing attack (KGA). A notable highlight of the proposal over other existing schemes is that it supports the regular language encryption and deterministic finite automata (DFA) based data retrieval. The large universe construction ensures the extendability of the system, in which the symbol set does not need to be predefined. Multiple users are supported in the system, and the user could generate a DFA token using his own private key without interacting with the key generation center. Furthermore, the concrete scheme is efficient and formally proved secure in standard model. Extensive comparison and simulation show that this scheme has function and performance superior than other schemes. © 2013 IEEE.

Keyword:

Cloud computing Cryptography Data privacy Digital storage Finite automata Formal languages Information management Search engines Servers Storage as a service (STaaS) Ubiquitous computing

Community:

  • [ 1 ] [Yang, Yang]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian, China
  • [ 2 ] [Yang, Yang]Guangxi Key Laboratory of Cryptography and Information Security, Guilin, China
  • [ 3 ] [Yang, Yang]Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou. Fujian, China
  • [ 4 ] [Yang, Yang]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou, Fujian, China
  • [ 5 ] [Yang, Yang]University Key Laboratory of Information Security of Network Systems, Fuzhou University, Fuzhou, Fujian Province, China
  • [ 6 ] [Yang, Yang]Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, Fujian, China
  • [ 7 ] [Zheng, Xianghan]Fujian Prov. Key Lab. of Netwk. Comp. and Intelligent Info. Proc. and Key Lab. of Spatial Data Mining Info. Sharing, Ministry of Education, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 8 ] [Rong, Chunming]Department of Electronic Engineering and Computer Science, University of Stavanger, Stavanger, Norway
  • [ 9 ] [Guo, Wenzhong]Fujian Prov. Key Lab. of Netwk. Comp. and Intelligent Info. Proc. and Key Lab. of Spatial Data Mining Info. Sharing, Ministry of Education, College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [zheng, xianghan]fujian prov. key lab. of netwk. comp. and intelligent info. proc. and key lab. of spatial data mining info. sharing, ministry of education, college of mathematics and computer science, fuzhou university, fuzhou, china

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Source :

IEEE Transactions on Cloud Computing

Year: 2020

Issue: 3

Volume: 8

Page: 805-818

5 . 9 3 8

JCR@2020

5 . 3 0 0

JCR@2023

ESI HC Threshold:149

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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