Modeling and performance evaluation of stealthy false data injection attacks on smart grid in the presence of corrupted measurements Anwar, Adnan, Mahmood, Abdun Naser and Pickering, Mark 2017, Modeling and performance evaluation of stealthy false data injection attacks on smart grid in the presence of corrupted measurements, Journal of computer and system sciences, vol. 83, no. 1, pp. 58-72, doi: 10.1016/j.jcss.2016.04.005. Attached Files Name Description MIMEType Size Downloads Title Modeling and performance evaluation of stealthy false data injection attacks on smart grid in the presence of corrupted measurements Author(s) Anwar, Adnan orcid.org/0000-0003-3916-1381 Mahmood, Abdun Naser Pickering, Mark Journal name Journal of computer and system sciences Volume number 83 Issue number 1 Start page 58 End page 72 Total pages 15 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2017-02 ISSN 0022-0000 1090-2724 Keyword(s) Science & Technology Technology Computer Science, Hardware & Architecture Computer Science, Theory & Methods Computer Science Smart grid False data injection Blind attack Principal component analysis (PCA) STATE ESTIMATION VULNERABILITY Language eng DOI 10.1016/j.jcss.2016.04.005 Field of Research 0802 Computation Theory and Mathematics 0805 Distributed Computing HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2016, Elsevier Inc. Persistent URL http://hdl.handle.net/10536/DRO/DU:30123330 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 Wed, 26 Jun 2019, 14:13:41 EST Thu, 27 Jun 2019, 05:01:11 EST Thu, 27 Jun 2019, 06:04:05 EST Thu, 27 Jun 2019, 12:02:28 EST Thu, 27 Jun 2019, 12:04:43 EST Filtered Full Citation counts:   Cited 24 times in TR Web of Science Cited 34 times in Scopus Search Google Scholar Access Statistics: 190 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Wed, 26 Jun 2019, 14:13:41 EST

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