Digital forensics for drone data – intelligent clustering using self organising maps Mekala, Sri Harsha and Baig, Zubair 2019, Digital forensics for drone data – intelligent clustering using self organising maps, in FNSS 2019 : Proceedings of the 5th International Conference of Future Network Systems and Security, Springer, Cham, Switzerland, doi: 10.1007/978-3-030-34353-8. Attached Files Name Description MIMEType Size Downloads Title Digital forensics for drone data – intelligent clustering using self organising maps Author(s) Mekala, Sri Harsha Baig, Zubair orcid.org/0000-0002-9245-2703 Conference name Future Network Systemsand Security. International Conference (5th : 2019 : Melbourne, Victoria) Conference location Melbourne, Vic. Conference dates 2019/11/27 - 2019/11/29 Title of proceedings FNSS 2019 : Proceedings of the 5th International Conference of Future Network Systems and Security Editor(s) Doss, R. orcid.org/0000-0001-6143-6850 Piramuthu, S. Zhou, W. Publication date 2019 Series Communications in Computer and Information Science Publisher Springer Place of publication Cham, Switzerland ISBN 9783030343538 Language eng DOI 10.1007/978-3-030-34353-8 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30131446 Document type: Conference Paper 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 Fri, 08 Nov 2019, 16:37:37 EST Sat, 09 Nov 2019, 04:00:47 EST Mon, 11 Nov 2019, 08:20:04 EST Tue, 12 Nov 2019, 05:02:53 EST Mon, 18 Nov 2019, 09:45:48 EST Mon, 18 Nov 2019, 09:49:33 EST Mon, 25 Nov 2019, 12:40:13 EST Mon, 25 Nov 2019, 12:40:59 EST Sat, 08 Feb 2020, 01:32:03 EST Sat, 09 Jan 2021, 01:30:28 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 171 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 11 Nov 2019, 08:20:04 EST

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