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143
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CEAS
2011
Springer
14 years 3 months ago
Spam detection using web page content: a new battleground
Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from...
Marco Túlio Ribeiro, Pedro Henrique Calais ...
NETWORK
2008
94views more  NETWORK 2008»
15 years 3 months ago
Detecting compromised routers via packet forwarding behavior
While it is widely understood that criminal miscreants are subverting large numbers of Internet-connected computers (e.g., for bots, spyware, SPAM forwarding), it is less well app...
Alper Tugay Mizrak, Stefan Savage, Keith Marzullo
132
Voted
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 3 months ago
Algorithmic Detection of Computer Generated Text
ct Computer generated academic papers have been used to expose a lack of thorough human review at several computer science conferences. We assess the problem of classifying such do...
Allen Lavoie, Mukkai Krishnamoorthy
136
Voted
AIRWEB
2005
Springer
15 years 9 months ago
Blocking Blog Spam with Language Model Disagreement
We present an approach for detecting link spam common in blog comments by comparing the language models used in the blog post, the comment, and pages linked by the comments. In co...
Gilad Mishne, David Carmel, Ronny Lempel
136
Voted
CAIP
2007
Springer
134views Image Analysis» more  CAIP 2007»
15 years 7 months ago
An Efficient Method for Filtering Image-Based Spam E-mail
Spam e-mail with advertisement text embedded in images presents a great challenge to anti-spam filters. In this paper, we present a fast method to detect image-based spam e-mail. U...
Ngo Phuong Nhung, Tu Minh Phuong