EliMFS: Achieving efficient, leakage-resilient, and multi-keyword fuzzy search on encrypted cloud data Chen, Jing, He, Kun, Deng, Lan, Yuan, Quan, Du, Ruiying, Xiang, Yang and Wu, Jie 2019, EliMFS: Achieving efficient, leakage-resilient, and multi-keyword fuzzy search on encrypted cloud data, IEEE transactions on services computing, pp. 1-14, doi: 10.1109/TSC.2017.2765323. Attached Files Name Description MIMEType Size Downloads Title EliMFS: Achieving efficient, leakage-resilient, and multi-keyword fuzzy search on encrypted cloud data Author(s) Chen, Jing He, Kun Deng, Lan Yuan, Quan Du, Ruiying Xiang, Yang orcid.org/0000-0001-5252-0831 Wu, Jie Journal name IEEE transactions on services computing Start page 1 End page 14 Total pages 14 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2019 ISSN 1939-1374 1939-1374 Keyword(s) Cloud security searchable encryption multikeyword fuzzy search Notes Early Access Article Language eng DOI 10.1109/TSC.2017.2765323 Indigenous content off Field of Research 0803 Computer Software 0805 Distributed Computing 0806 Information Systems HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2017, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30132666 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 28 Nov 2019, 12:46:23 EST Fri, 29 Nov 2019, 04:00:57 EST Fri, 29 Nov 2019, 05:03:41 EST Thu, 05 Dec 2019, 15:09:10 EST Thu, 05 Dec 2019, 15:13:33 EST Thu, 05 Mar 2020, 08:32:45 EST Wed, 24 Jun 2020, 16:13:24 EST Mon, 21 Sep 2020, 12:09:58 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 52 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 28 Nov 2019, 12:46:23 EST

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