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IFIP
2009
Springer
13 years 10 months ago
Detecting Spam at the Network Level
Spam is increasingly a core problem affecting network security and performance. Indeed, it has been estimated that 80% of all email messages are spam. Content-based filters are a ...
Anna Sperotto, Gert Vliek, Ramin Sadre, Aiko Pras
CEAS
2008
Springer
13 years 6 months ago
Exploiting Transport-Level Characteristics of Spam
We present a novel spam detection technique that relies on neither content nor reputation analysis. This work investigates the discriminatory power of email transport-layer charac...
Robert Beverly, Karen R. Sollins
WWW
2008
ACM
14 years 4 months ago
Improving web spam detection with re-extracted features
Web spam detection has become one of the top challenges for the Internet search industry. Instead of using some heuristic rules, we propose a feature re-extraction strategy to opt...
Guanggang Geng, Chunheng Wang, Qiudan Li
DBSEC
2010
319views Database» more  DBSEC 2010»
13 years 5 months ago
Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...
Alex Hai Wang
KES
2005
Springer
13 years 9 months ago
Detecting Search Engine Spam from a Trackback Network in Blogspace
Abstract. We aim to develop a technique to detect search engine optimization (SEO) spam websites. Specifically, we propose four methods for extracting the SEO spam entries from a ...
Masahiro Kimura, Kazumi Saito, Kazuhiro Kazama, Sh...