Botnet Detection: Countering the Largest Security Threat by Wenke Lee, Cliff Wang, David Dagon

By Wenke Lee, Cliff Wang, David Dagon

Botnets became the platform of selection for launching assaults and committing fraud on the net. a greater figuring out of Botnets can help to coordinate and boost new applied sciences to counter this severe safeguard chance. Botnet Detection: Countering the most important protection chance includes chapters contributed via world-class leaders during this box, from the June 2006 ARO workshop on Botnets. This edited quantity represents the state of the art in examine on Botnets.

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Botnet Detection: Countering the Largest Security Threat (Advances in Information Security)

Botnets became the platform of selection for launching assaults and committing fraud on the net. a greater knowing of Botnets may help to coordinate and enhance new applied sciences to counter this severe defense chance. Botnet Detection: Countering the biggest defense hazard comprises chapters contributed through world-class leaders during this box, from the June 2006 ARO workshop on Botnets.

Additional resources for Botnet Detection: Countering the Largest Security Threat (Advances in Information Security)

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W. Timothy Strayer, Robert Walsh, Carl Livadas, and David Lapsley. Detecting Botnets with Tight Command and Control. In Proceedings of the 31st IEEE Conference on Local Computer Networks (LCN’06), November 2006. 30. Symantec. Symantec Internet Security Threat Report. Trends for July – December 06, March 2007. 31. The Honeynet Project. Know Your Enemy : Learning about Security Threats. AddisonWesley Professional; 2 edition (May 17, 2004), March 2004. 32. Rob Thormeyer. Hacker arrested for breaching dod systems with ‘botnets’.

7. David L. Donoho, Ana Georgina Flesia, Umesh Shankar, Vern Paxson, Jason Coit, and Stuart Staniford. Multiscale stepping-stone detection: Detecting pairs of jittered interactive streams by exploiting maximum tolerable delay. In Proc. International Symposium on Recent Advances in Intrusion Detection, pages 17–35, October 2002. 8. Richard O. Duda, Peter E. Hart, and David G. Stork. Pattern Classification. , 2 edition, 2001. 9. T. He and L. Tong. Detecting encrypted stepping-stone connections. IEEE Transactions on Signal Processing, 2007.

Moreover, monitoring scanning is relatively easy. With a honeynet installed people can easily get the botnet scanning traffic. With this motivation, we designed a general paradigm to extract botnet related scanning events and analyzing methods. We further analyzed one year honeynet traffic from a large research institution to demonstrate the methods. In [15], three types of scanning strategies of botnets have been introduced: localized scanning, targeted scanning and uniform scanning. Localized scanning is that each bot chose the scanning range based their own IP prefixes.

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