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» A Trust Based System for Enhanced Spam Filtering
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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...
ICIP
2005
IEEE
14 years 9 months ago
Using visual features for anti-spam filtering
Unsolicited Commercial Email (UCE), also known as spam, has been a major problem on the Internet. In the past, researchers have addressed this problem as a text classification or ...
Ching-Tung Wu, Kwang-Ting Cheng, Qiang Zhu, Yi-Leh...
IIWAS
2007
13 years 9 months ago
Security aspects in Semantic Web Services Filtering
Security and trust aspects, perceived as difficult to quantify, have been neglected in various service interactions. However, factors related to security and trust are in fact cru...
Witold Abramowicz, Andreas Ekelhart, Stefan Fenz, ...
GLOBECOM
2008
IEEE
14 years 2 months ago
Support Vector Machines and Random Forests Modeling for Spam Senders Behavior Analysis
— Unwanted and malicious messages dominate Email traffic and pose a great threat to the utility of email communications. Reputation systems have been getting momentum as the sol...
Yuchun Tang, Sven Krasser, Yuanchen He, Weilai Yan...
ML
2010
ACM
135views Machine Learning» more  ML 2010»
13 years 2 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer