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Traffic shaping of spam botnets

Husna, Husain; Phithakkitnukoon, Santi and Dantu, Ram (2008). Traffic shaping of spam botnets. In: 5th IEEE Consumer Communications and Networking Conference (CCNC 2008), 10-12 Jan 2008, Las Vegas.

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Compromised computers, known as bots, are the major source of spamming. Detecting them can help greatly improve control of unwanted traffic. In this paper, we develop a traffic control mechanism to detect and delay the traffic of suspicious senders and bots. By delaying spammer's traffic, it has been reported that 90% of spam emails can be eliminated. In our proposed mechanism, we group spammers based on their behavior and transmission patterns. These patterns of spammers show high correlation between group members irrespective of geographic location, network ID, content, and kind of receivers. After identification of these botnet groups we applied traffic shaping techniques a pre-filtering analysis to avoid use of automated machines(bots) to spam a particular domain. Thus the source for majority of spam is blocked before reaching email servers. We also identify how randomly the botnets behave and how easy it is to capture a botnet behavior, based on Information theory. To our knowledge, there is no work reported on detecting and mitigating botnets based on their behavior and in particular transmission patterns.

Item Type: Conference or Workshop Item
Copyright Holders: 2008 IEEE
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetNational Science Foundation (NSF)
Extra Information: ISBN: 978-1-4244-1456-7
pp.786 - 787
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 35307
Depositing User: Santi Phithakkitnukoon
Date Deposited: 13 Nov 2012 16:15
Last Modified: 02 May 2018 13:46
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