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10.1109/SAINT-W.2007.14guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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A Proposal of Metrics for Botnet Detection Based on Its Cooperative Behavior

Published: 15 January 2007 Publication History

Abstract

In this paper, we propose three metrics for detecting botnets through analyzing their behavior. Our social infrastructure (i.e., the Internet) is currently experiencing the danger of bots' malicious activities as the scale of botnets increases. Although it is imperative to detect botnet to help protect computers from attacks, effective metrics for botnet detection have not been adequately researched. In this work we measure enormous amounts of traffic passing through the Asian Internet Interconnection Initiatives (AIII) infrastructure. To validate the effectiveness of our proposed metrics, we analyze measured traffic in three experiments. The experimental results reveal that our metrics are applicable for detecting botnets, but further research is needed to refine their performance.

Cited By

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  • (2019)Real-time botnet detection using nonnegative tucker decompositionProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297415(1337-1344)Online publication date: 8-Apr-2019
  • (2015)Detecting botnet by anomalous trafficJournal of Information Security and Applications10.1016/j.jisa.2014.05.00221:C(42-51)Online publication date: 1-Apr-2015
  • (2012)Detection and prevention of botnets and malware in an enterprise networkInternational Journal of Wireless and Mobile Computing10.1504/IJWMC.2012.0467765:2(144-153)Online publication date: 1-May-2012
  • Show More Cited By

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Published In

cover image Guide Proceedings
SAINT-W '07: Proceedings of the 2007 International Symposium on Applications and the Internet Workshops
January 2007
ISBN:0769527574

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IEEE Computer Society

United States

Publication History

Published: 15 January 2007

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Cited By

View all
  • (2019)Real-time botnet detection using nonnegative tucker decompositionProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297415(1337-1344)Online publication date: 8-Apr-2019
  • (2015)Detecting botnet by anomalous trafficJournal of Information Security and Applications10.1016/j.jisa.2014.05.00221:C(42-51)Online publication date: 1-Apr-2015
  • (2012)Detection and prevention of botnets and malware in an enterprise networkInternational Journal of Wireless and Mobile Computing10.1504/IJWMC.2012.0467765:2(144-153)Online publication date: 1-May-2012
  • (2012)Cloud-based push-styled mobile botnetsProceedings of the 28th Annual Computer Security Applications Conference10.1145/2420950.2420968(119-128)Online publication date: 3-Dec-2012
  • (2012)BotnetsProceedings of the Fifth International Conference on Security of Information and Networks10.1145/2388576.2388580(33-40)Online publication date: 25-Oct-2012
  • (2012)Botnet detection based on non-negative matrix factorization and the MDL principleProceedings of the 19th international conference on Neural Information Processing - Volume Part V10.1007/978-3-642-34500-5_48(400-409)Online publication date: 12-Nov-2012
  • (2012)Agent-based simulation of cooperative defence against botnetsConcurrency and Computation: Practice & Experience10.1002/cpe.185824:6(573-588)Online publication date: 1-Apr-2012
  • (2011)Clustering botnet communication traffic based on n-gram feature selectionComputer Communications10.1016/j.comcom.2010.04.00734:3(502-514)Online publication date: 1-Mar-2011
  • (2009)BotnetEURASIP Journal on Wireless Communications and Networking10.1155/2009/6926542009(1-11)Online publication date: 1-Feb-2009
  • (2009)Automatic discovery of botnet communities on large-scale communication networksProceedings of the 4th International Symposium on Information, Computer, and Communications Security10.1145/1533057.1533062(1-10)Online publication date: 10-Mar-2009
  • Show More Cited By

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