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» Learning to detect phishing emails
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ICC
2009
IEEE
14 years 10 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...
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 9 days 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
127
Voted
CEAS
2007
Springer
15 years 4 months ago
Learning Fast Classifiers for Image Spam
Recently, spammers have proliferated "image spam", emails which contain the text of the spam message in a human readable image instead of the message body, making detect...
Mark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach
111
Voted
CEAS
2008
Springer
15 years 2 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
144
Voted
ICETE
2004
253views Business» more  ICETE 2004»
15 years 1 months ago
BLAZE: A Mobile Agent Paradigm for VoIP Intrusion Detection Systems
ser provides abstraction for supporting flexible security policies that can be developed using the low-level primitives of the browser. We believe our browser architecture will be ...
Kapil Singh, Son T. Vuong