Detecting SMS-based control commands in a Botnet from infected android devices Nguyen, Anh and Pan, Lei 2012, Detecting SMS-based control commands in a Botnet from infected android devices, in ATIS 2012 : Proceedings of the 3rd Applications and Technologies in Information Security Workshop, School of Information Systems, Deakin University, Melbourne, Vic., pp. 23-27. Attached Files Name Description MIMEType Size Downloads nguyen-detectingsmsbased-2012.pdf Published version application/pdf 356.79KB 262 Title Detecting SMS-based control commands in a Botnet from infected android devices Author(s) Nguyen, Anh Pan, Lei orcid.org/0000-0002-4691-8330 Conference name Applications and Technologies in Information Security. Workshop (3rd : 2012 : Melbourne, Vic.) Conference location Melbourne, Vic. Conference dates 7 Nov. 2012 Title of proceedings ATIS 2012 : Proceedings of the 3rd Applications and Technologies in Information Security Workshop Editor(s) Warren, Matthew orcid.org/0000-0002-7529-431X Publication date 2012 Conference series Applications and Technologies in Information Security Workshop Start page 23 End page 27 Total pages 5 Publisher School of Information Systems, Deakin University Place of publication Melbourne, Vic. Keyword(s) botnet logging android digital forensics Summary An increasing number of Android devices are being infected and at risk of becoming part of a botnet. Among all types of botnets, control and cornmand based botnets are very popular. In this paper we introduce an effective and efficient method to ddect SMS-based control commands ftvm infected Android devices. Specifically, we rely on the important radio activities recorded in Android log files. These radio activities are currently overlooked by researchers. We show the effectiveness of our rnethod by using the examples frorn published literature. Our method requires much less user knowledge but is more generic than traditional approaches. ISBN 9780987229823 Language eng Field of Research 080303 Computer System Security 080499 Data Format not elsewhere classified Socio Economic Objective 890202 Application Tools and System Utilities HERDC Research category E1 Full written paper - refereed Copyright notice ©2012, Deakin University Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30051357 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) 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 Mon, 18 Mar 2013, 09:41:38 EST Mon, 18 Mar 2013, 09:50:30 EST Thu, 02 May 2013, 16:46:08 EST Thu, 02 May 2013, 20:22:21 EST Fri, 17 Oct 2014, 11:58:38 EST Wed, 29 Apr 2015, 13:01:30 EST Tue, 06 Sep 2016, 20:46:39 EST Tue, 05 Dec 2017, 12:39:31 EST Fri, 07 Sep 2018, 16:25:48 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 645 Abstract Views, 262 File Downloads  -  Detailed Statistics Created: Mon, 18 Mar 2013, 09:41:38 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.