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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
CEAS
2004
Springer
14 years 24 days ago
Filtron: A Learning-Based Anti-Spam Filter
Abstract. We present Filtron, a prototype anti-spam filter that integrates the main empirical conclusions of our comprehensive analysis on using machine learning to construct eff...
Eirinaios Michelakis, Ion Androutsopoulos, Georgio...
EACL
2003
ACL Anthology
13 years 8 months ago
A Comparison of Event Models for Naive Bayes Anti-Spam E-Mail Filtering
We describe experiments with a Naive Bayes text classifier in the context of anti-spam E-mail filtering, using two different statistical event models: a multi-variate Bernoulli ...
Karl-Michael Schneider
ACSAC
2006
IEEE
14 years 1 months ago
Enhancing Collaborative Spam Detection with Bloom Filters
Signature-based collaborative spam detection (SCSD) systems provide a promising solution addressing many problems facing statistical spam filters, the most widely adopted technol...
Jeff Yan, Pook Leong Cho
INFOCOM
2009
IEEE
14 years 2 months ago
Fighting Spam with the NeighborhoodWatch DHT
—In this paper, we present DHTBL, an anti-spam blacklist built upon a novel secure distributed hash table (DHT). We show how DHTBL can be used to replace existing DNS-based black...
Adam Bender, Rob Sherwood, Derek Monner, Nathan Go...