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Volumn 60, Issue 1, 2014, Pages 164-172

Achieving effective cloud search services: Multi-keyword ranked search over encrypted cloud data supporting synonym query

Author keywords

Cloud computing; consumer centric cloud; keyword search; ranked search

Indexed keywords

CLOUD COMPUTING; CRYPTOGRAPHY; SEARCH ENGINES; SEMANTICS;

EID: 84898043315     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2014.6780939     Document Type: Article
Times cited : (124)

References (15)
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    • (2010) IEEE Trans. Consumer Electron. , vol.56 , Issue.2 , pp. 1034-1042
    • Lee, S.G.1    Lee, D.2    Lee, S.3
  • 7
    • 80052929091 scopus 로고    scopus 로고
    • Sharing cloud services: User authentication for social enhancement of home networking
    • S. Grzonkowski, and P. M. Corcoran, "Sharing cloud services: user authentication for social enhancement of home networking," IEEE Trans. Consumer Electron., vol. 57, no. 3, pp. 1424-1432, 2011.
    • (2011) IEEE Trans. Consumer Electron. , vol.57 , Issue.3 , pp. 1424-1432
    • Grzonkowski, S.1    Corcoran, P.M.2
  • 11
    • 79960850152 scopus 로고    scopus 로고
    • Privacy-preserving multikeyword ranked search over encrypted cloud data
    • N. Cao, C. Wang, M. Li, K. Ren, and W. Lou, "Privacy-preserving multikeyword ranked search over encrypted cloud data," Proceedings of IEEE INFOCOM 2011, pp. 829-837, 2011.
    • (2011) Proceedings of IEEE INFOCOM 2011 , pp. 829-837
    • Cao, N.1    Wang, C.2    Li, M.3    Ren, K.4    Lou, W.5
  • 13
    • 84877939257 scopus 로고    scopus 로고
    • Privacypreserving multi-keyword text search in the cloud supporting similaritybased ranking
    • Hangzhou, China, May 2013
    • W. Sun, B. Wang, N. Cao, M. Li, W. Lou, and Y. T. Hou, "Privacypreserving multi-keyword text search in the cloud supporting similaritybased ranking," ASIACCS 2013, Hangzhou, China, May 2013, pp. 71-82, 2013.
    • (2013) ASIACCS 2013 , pp. 71-82
    • Sun, W.1    Wang, B.2    Cao, N.3    Li, M.4    Lou, W.5    Hou, Y.T.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.