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author:

Yang, Yang (Yang, Yang.) [1] | Yang, Shulue (Yang, Shulue.) [2] | Cai, Shengwei (Cai, Shengwei.) [3] | Liu, Jia (Liu, Jia.) [4] | Li, Guangyan (Li, Guangyan.) [5]

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EI Scopus PKU CSCD

Abstract:

In order to solve the problem that the existing semantically searchable encryption schemes could not realize ranking verification, a novel method was proposed in this paper which could not only support the semantic search, but also verify the ranking of the search results. Firstly, the relevant score and the weighted zone score were introduced to construct a more accurate inverted index structure. Using the non-linear order preserving encryption mechanism, the search results were sorted efficiently by the cloud server, which reduced the computation and communication overheads. Then, the query keywords were semantically extended based on the WordNet. Based on the semantically extended tree, the most relevant semantically extended words were selected. Combining the semantic similarity and relevance score, a two-factor ranking algorithm was designed to accurately sort the search results. Moreover, a set of keywords were inserted to the bloom filter. The message authentication codes of the bloom filter, security index and encrypted files were calculated to build the verifiable information. In the search phase, the bloom filter was used to verify the existence of the query keywords in the index. And the integrity and correctness of the index and files could be verified by the message authentication codes. The index tree was constructed to improve the search efficiency. Finally, the proposed scheme was compared with the related schemes in terms of functions, storage overheads and search overheads. And simulation experiments were carried out on the cost of building index and verifiable information, semantic extensions, encrypting queries, querying and verifying. The comparative analysis showed that the advantage of the proposed scheme in terms of semantic search, ranking and verifying. The experimental results demonstrated that the proposed scheme not only realizes the semantic search and the search results ranking, but also supports the ranking result verification. © 2017, Editorial Department of Advanced Engineering Sciences. All right reserved.

Keyword:

Authentication Cloud computing Cryptography Data structures Forestry Semantics Semantic Web

Community:

  • [ 1 ] [Yang, Yang]School of Mathematics and Computer Sci., Fuzhou Univ., Fuzhou; 350108, China
  • [ 2 ] [Yang, Yang]Key Lab. of Info. Security of Network System in Fujian Province, Fuzhou Univ., Fuzhou; 350108, China
  • [ 3 ] [Yang, Shulue]School of Physics and Info. Eng., Fuzhou Univ., Fuzhou; 350108, China
  • [ 4 ] [Yang, Shulue]Key Lab. of Info. Security of Network System in Fujian Province, Fuzhou Univ., Fuzhou; 350108, China
  • [ 5 ] [Cai, Shengwei]School of Mathematics and Computer Sci., Fuzhou Univ., Fuzhou; 350108, China
  • [ 6 ] [Cai, Shengwei]Key Lab. of Info. Security of Network System in Fujian Province, Fuzhou Univ., Fuzhou; 350108, China
  • [ 7 ] [Liu, Jia]School of Mathematics and Computer Sci., Fuzhou Univ., Fuzhou; 350108, China
  • [ 8 ] [Liu, Jia]Key Lab. of Info. Security of Network System in Fujian Province, Fuzhou Univ., Fuzhou; 350108, China
  • [ 9 ] [Li, Guangyan]School of Mathematics and Computer Sci., Fuzhou Univ., Fuzhou; 350108, China
  • [ 10 ] [Li, Guangyan]Key Lab. of Info. Security of Network System in Fujian Province, Fuzhou Univ., Fuzhou; 350108, China

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Source :

Advanced Engineering Science

ISSN: 2096-3246

CN: 51-1773/TB

Year: 2017

Issue: 4

Volume: 49

Page: 119-128

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

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