Cluster-based resilient distributed estimation through adversary detection Gao, Fengyue, Yu, Quan, Bai, Lin, Wang, Jingchao and Choi, Jinho 2020, Cluster-based resilient distributed estimation through adversary detection, IET Communications, vol. 14, no. 3, pp. 451-457, doi: 10.1049/iet-com.2019.0497. Attached Files Name Description MIMEType Size Downloads Title Cluster-based resilient distributed estimation through adversary detection Author(s) Gao, Fengyue Yu, Quan Bai, Lin Wang, Jingchao Choi, Jinho orcid.org/0000-0002-4895-6680 Journal name IET Communications Volume number 14 Issue number 3 Start page 451 End page 457 Total pages 7 Publisher Institution of Engineering and Technology Place of publication Stevenage, Eng. Publication date 2020 ISSN 1751-8628 Language eng DOI 10.1049/iet-com.2019.0497 Indigenous content off Field of Research 0906 Electrical and Electronic Engineering HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30135255 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)   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. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 27 Feb 2020, 09:58:49 EST Thu, 27 Feb 2020, 12:27:47 EST Thu, 27 Feb 2020, 12:33:14 EST Wed, 04 Mar 2020, 12:09:35 EST Wed, 04 Mar 2020, 12:11:36 EST Sat, 21 Mar 2020, 01:30:48 EST Wed, 25 Aug 2021, 03:35:23 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 211 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 27 Feb 2020, 09:58:49 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.