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ICC
2007
IEEE
119views Communications» more  ICC 2007»
13 years 11 months ago
Behavioral Characteristics of Spammers and Their Network Reachability Properties
By analyzing a two-month trace of more than 25 million emails received at a large US university campus network, of which more than 18 million are spam messages, we characterize th...
Zhenhai Duan, Kartik Gopalan, Xin Yuan
SIGCOMM
2006
ACM
13 years 11 months ago
Understanding the network-level behavior of spammers
This paper studies the network-level behavior of spammers, including: IP address ranges that send the most spam, common spamming modes (e.g., BGP route hijacking, bots), how persi...
Anirudh Ramachandran, Nick Feamster
CEAS
2008
Springer
13 years 7 months ago
Social Honeypots: Making Friends With A Spammer Near You
Social networking communities have become an important communications platform, but the popularity of these communities has also made them targets for a new breed of social spamme...
Steve Webb, James Caverlee, Calton Pu
WWW
2010
ACM
13 years 12 months ago
The social honeypot project: protecting online communities from spammers
We present the conceptual framework of the Social Honeypot Project for uncovering social spammers who target online communities and initial empirical results from Twitter and MySp...
Kyumin Lee, James Caverlee, Steve Webb
SIGIR
2010
ACM
13 years 8 months ago
Uncovering social spammers: social honeypots + machine learning
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
Kyumin Lee, James Caverlee, Steve Webb