Sciweavers

14 search results - page 2 / 3
» An effective defense against email spam laundering
Sort
View
ISCAPDCS
2004
13 years 6 months ago
An Open Digest-based Technique for Spam Detection
A promising anti-spam technique consists in collecting users opinions that given email messages are spam and using this collective judgment to block message propagation to other u...
Ernesto Damiani, Sabrina De Capitani di Vimercati,...
NSDI
2008
13 years 7 months ago
Exploiting Machine Learning to Subvert Your Spam Filter
Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This paper shows how an adversary can exploit statistical m...
Blaine Nelson, Marco Barreno, Fuching Jack Chi, An...
CEAS
2006
Springer
13 years 9 months ago
Fast Uncertainty Sampling for Labeling Large E-mail Corpora
One of the biggest challenges in building effective anti-spam solutions is designing systems to defend against the everevolving bag of tricks spammers use to defeat them. Because ...
Richard Segal, Ted Markowitz, William Arnold
CCS
2006
ACM
13 years 9 months ago
Can machine learning be secure?
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
DIMVA
2009
13 years 6 months ago
Defending Browsers against Drive-by Downloads: Mitigating Heap-Spraying Code Injection Attacks
Drive-by download attacks are among the most common methods for spreading malware today. These attacks typically exploit memory corruption vulnerabilities in web browsers and brows...
Manuel Egele, Peter Wurzinger, Christopher Kruegel...