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» Spam, spam, spam, spam: how can we stop it
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CEAS
2007
Springer
13 years 11 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
ACSAC
2010
IEEE
13 years 5 months ago
Detecting spammers on social networks
Social networking has become a popular way for users to meet and interact online. Users spend a significant amount of time on popular social network platforms (such as Facebook, M...
Gianluca Stringhini, Christopher Kruegel, Giovanni...
WWW
2006
ACM
14 years 8 months ago
Topical TrustRank: using topicality to combat web spam
Web spam is behavior that attempts to deceive search engine ranking algorithms. TrustRank is a recent algorithm that can combat web spam. However, TrustRank is vulnerable in the s...
Baoning Wu, Vinay Goel, Brian D. Davison
INFOCOM
2009
IEEE
14 years 2 months ago
Detecting Spam Zombies by Monitoring Outgoing Messages
—Compromised machines are one of the key security threats on the Internet; they are often used to launch various security attacks such as DDoS, spamming, and identity theft. In t...
Zhenhai Duan, Peng Chen, Fernando Sanchez, Yingfei...
WWW
2004
ACM
14 years 8 months ago
Filtering spam e-mail on a global scale
In this paper we analyze a very large junk e-mail corpus which was generated by a hundred thousand volunteer users of the Hotmail e-mail service. We describe how the corpus is bei...
Geoff Hulten, Joshua T. Goodman, Robert Rounthwait...