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» Detecting Steganographic Content on the Internet
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WWW
2008
ACM
14 years 9 months ago
Web graph similarity for anomaly detection (poster)
Web graphs are approximate snapshots of the web, created by search engines. Their creation is an error-prone procedure that relies on the availability of Internet nodes and the fa...
Panagiotis Papadimitriou 0002, Ali Dasdan, Hector ...
CEAS
2004
Springer
14 years 2 months ago
Word Stemming to Enhance Spam Filtering
Generally a content based spam filter works on words and phrases of email text and if it finds offensive content it gives that email a numerical value (depending on the content). A...
Shabbir Ahmed, Farzana Mithun
CEAS
2008
Springer
13 years 10 months ago
Improved Phishing Detection using Model-Based Features
Phishing emails are a real threat to internet communication and web economy. Criminals are trying to convince unsuspecting online users to reveal passwords, account numbers, socia...
André Bergholz, Jeong Ho Chang, Gerhard Paa...
KES
2007
Springer
13 years 8 months ago
KeyGraph-based chance discovery for mobile contents management system
Chance discovery provides a way to find rare but very important events for future decision making. It can be applied to stock market prediction, earthquake alarm, intrusion detect...
Kyung-Joong Kim, Myung-Chul Jung, Sung-Bae Cho
AIRWEB
2009
Springer
14 years 3 months ago
Looking into the past to better classify web spam
Web spamming techniques aim to achieve undeserved rankings in search results. Research has been widely conducted on identifying such spam and neutralizing its influence. However,...
Na Dai, Brian D. Davison, Xiaoguang Qi