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» Filtering Spam Email Based on Retry Patterns
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PAKDD
2005
ACM
134views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information
Abstract. Bayesian spam filters, in general, compute probability estimations for tokens either without considering the email areas of occurrences except the body or treating the s...
Raju Shrestha, Yaping Lin
ICC
2009
IEEE
13 years 5 months ago
Simulation of SPIT Filtering: Quantitative Evaluation of Parameter Tuning
A future where Internet Telephony will constitute a target valuable to attack is not so unrealistic. E-mail spam botnets software can be updated to send voice spam (commonly referr...
Federico Menna, Renato Lo Cigno, Saverio Niccolini...
CCS
2010
ACM
13 years 7 months ago
@spam: the underground on 140 characters or less
In this work we present a characterization of spam on Twitter. We find that 8% of 25 million URLs posted to the site point to phishing, malware, and scams listed on popular blackl...
Chris Grier, Kurt Thomas, Vern Paxson, Michael Zha...
PKDD
2004
Springer
168views Data Mining» more  PKDD 2004»
14 years 1 months ago
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...
Christian Siefkes, Fidelis Assis, Shalendra Chhabr...
MOBISEC
2009
Springer
14 years 2 months ago
Filtering SPAM in P2PSIP Communities with Web of Trust
Spam is a dominant problem on email systems today. One of the reasons is the lack of infrastructure for security and trust. As Voice over IP (VoIP) communication becomes increasing...
Juho Heikkilä, Andrei Gurtov