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JCR Impact Factor: 1.221
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

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  2/2016 - 2

Secure Multi-Keyword Search with User/Owner-side Efficiency in the Cloud

LEE, Y. See more information about LEE, Y. on SCOPUS See more information about LEE, Y. on IEEExplore See more information about LEE, Y. on Web of Science, KIM, P. See more information about  KIM, P. on SCOPUS See more information about  KIM, P. on SCOPUS See more information about KIM, P. on Web of Science, PARK, Y. See more information about PARK, Y. on SCOPUS See more information about PARK, Y. on SCOPUS See more information about PARK, Y. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
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Download PDF pdficon (1,453 KB) | Citation | Downloads: 626 | Views: 2,113

Author keywords
keyword search, encryption, data security, information security, security

References keywords
data(7), cloud(7), security(6), privacy(6), search(5), preserving(5), encrypted(5), text(4), secure(4), keyword(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-05-31
Volume 16, Issue 2, Year 2016, On page(s): 11 - 18
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.02002
Web of Science Accession Number: 000376996100002
SCOPUS ID: 84974851886

Abstract
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As the amount of data in the cloud grows, ranked search system, the similarity of a query to data is ranked, are of significant importance. on the other hand, to protect privacy, searchable encryption system are being actively studied. In this paper, we present a new similarity-based multi-keyword search scheme for encrypted data. This scheme provides high flexibility in the pre- and post-processing of encrypted data, including splitting stem/suffix and computing from the encrypted index-term matrix, demonstrated to support Latent Semantic Indexing(LSI). On the client side, the computation and communication costs are one to two orders of magnitude lower than those of previous methods, as demonstrated in the experimental results. we also provide a security analysis of the proposed scheme.


References | Cited By  «-- Click to see who has cited this paper

[1] L. M. Vaquero, L. Rodero-Merino, J. Caceres, and M. Lindner, "A Break in the Clouds: towards a Cloud Definition", ACM SIGCOMM Comput. Commun. Rev., vol. 39, no.1, pp. 50-55, 2009.
[CrossRef]


[2] S. Yu, C. Wang, K. Ren, and W. Lou, "Achieving Secure, Scalable, and Fine-grained Data Access Control in Cloud Computing", Proc. IEEE INFOCOM, pp. 1-9, 2010.
[CrossRef]


[3] C. Wang, Q. Wang, K. Ren, and W. Lou, "Privacy-preserving Public auditing for Data Storage Security in Cloud Computing", Proc. IEEE INFOCOM, pp. 1-9, 2010.
[CrossRef] [SCOPUS Times Cited 979]


[4] T. Yu, S. Jajodia, "Secure Data Management in Decentralized Systems." Advances in Information Security, vol. 33, pp. 355-380, Springer Press, 2007.
[CrossRef]


[5] H. Pang, X. Ding, and X. Xiao. "Embellishing Text Search Queries to Protect User Privacy." Proc. VLDB Endowment vol. 3.1/2, pp. 598-607, 2007.
[CrossRef] [SCOPUS Times Cited 34]


[6] D. Song, D. Wagner, and A. Perrig, "Practical Techniques for Searches on Encrypted Data", Proc. IEEE Security and Privacy, pp. 44-55, 2000.
[CrossRef]


[7] R. Curtmola, J. A. Garay, S. Kamara, and R. Ostrovsky, "Searchable Symmetric Encryption: Improved Definitions and Efficient Constructions", Proc. ACM Computer and Communication Security, pp. 79-88, 2006.
[CrossRef] [SCOPUS Times Cited 1143]


[8] M. Bellare, A. Boldyreva, and A. O’Neill, "Deterministic and Efficiently Searchable Encryption", Proc. Advances in Cryptology - CRYPTO, pp. 535-552, 2007.
[CrossRef] [SCOPUS Times Cited 464]


[9] M. Abdalla, M. Bellare, D. Catalano, E. Kiltz, T. Kohno, T. Lange, J. Malone-Lee, G. Neven, P. Paillier, and H. Shi, "Searchable Encryption Revisited: Consistency properties, relation to Anonymous IBE, and Extensions", Journal of Cryptology, vol. 21, no. 3, pp. 350-391, 2008.
[CrossRef] [Web of Science Times Cited 164] [SCOPUS Times Cited 222]


[10] J. Li, Q. Wang, C. Wang, N. Cao, K. Ren, and W. Lou, "Fuzzy Keyword Search over Encrypted Data in Cloud Computing", Proc. IEEE INFOCOM'10 Mini-Conference, pp. 1-5, San Diego, CA, USA, March 2010.
[CrossRef] [SCOPUS Times Cited 658]


[11] C. Wang, N. Cao, J. Li, K. Ren and W. Lou, "Secure Ranked Keyword Search over Encrypted Cloud Data", in Proc. ICDCS'10, pp.253-362, 2010.
[CrossRef] [SCOPUS Times Cited 535]


[12] N. Cao, C. Wang, M. Li, K. Ren, and W. Lou. "Privacy-preserving Multi-keyword Ranked Search over Encrypted Cloud Data", in Proc IEEE INFOCOM'11, pp.222-233, 2011.
[CrossRef] [SCOPUS Times Cited 443]


[13] Sun, W. et al. "Verifiable Privacy-Preserving Multi-keyword Text Search in the Cloud Supporting Similarity-based Ranking." IEEE Trans. on Parallel and Distributed Systems, in Press, 2013.
[CrossRef] [Web of Science Times Cited 112] [SCOPUS Times Cited 160]


[14] H. Pang, J. Shen, and R. Krishnan, "Privacy-Preserving Similarity-Based Text Retrieval", ACM Transactions on Internet Technology, vol. 10, no. 1, article #4, Feb. 2010.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 47]


[15] S. T. Dumais, "Latent Semantic Indexing (LSI) and TREC-2", In Second Text REtrieval Conference (TREC2), D. Harman, ed., pp. 105-115, March 1994.

[16] T. K. Landauer, D. S. McNamara, S. Dennis, and W. Kintsch, "Handbook of Latent Semantic Analysis," 1st edition, ISBN-13: 978-0805854183, pp. 293-322, Psychology Press, 2007.

[17] M. Bellare, A. Boldyreva, L. Knudsen, and C. Namprempre, "Online ciphers and the hash-CBC construction", Proc. Advances in Cryptology - CRYPTO, 2001, pp.292-309, 2001.
[CrossRef] [SCOPUS Times Cited 45]


[18] A. Boldyreva, N. Chenette, Y. Lee, and A. O’Neill, "Order Preserving Symmetric Encryption", Proc. Advances in Cryptology - EUROCRYPT’09, pp. 224-241, 2009.
[CrossRef] [SCOPUS Times Cited 537]


[19] M. Bellare, "Practice-oriented provable-security", in Proc. Information Security. Springer Berlin Heidelberg, pp. 221-231, 1998.
[CrossRef] [SCOPUS Times Cited 50]


[20] W. Wong, D. W. Cheung, B. Kai, and N. Mamouolis, "Secure kNN computation on encrypted databases", Proc. ACM SIGMOD’09, pp. 139-152, 2009.
[CrossRef] [SCOPUS Times Cited 569]




References Weight

Web of Science® Citations for all references: 307 TCR
SCOPUS® Citations for all references: 5,886 TCR

Web of Science® Average Citations per reference: 15 ACR
SCOPUS® Average Citations per reference: 280 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-11-20 17:01 in 134 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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