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» Detecting Spam at the Network Level
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AICCSA
2005
IEEE
105views Hardware» more  AICCSA 2005»
14 years 1 months ago
Multivariate statistical analysis for network attacks detection
Detection and self-protection against viruses, worms, and network attacks is urgently needed to protect network systems and their applications from catastrophic failures. Once a n...
Guangzhi Qu, Salim Hariri, Mazin S. Yousif
USS
2004
13 years 9 months ago
A Virtual Honeypot Framework
A honeypot is a closely monitored network decoy serving several purposes: it can distract adversaries from more valuable machines on a network, can provide early warning about new...
Niels Provos
CEAS
2008
Springer
13 years 9 months ago
Social Honeypots: Making Friends With A Spammer Near You
Social networking communities have become an important communications platform, but the popularity of these communities has also made them targets for a new breed of social spamme...
Steve Webb, James Caverlee, Calton Pu
CORR
2010
Springer
115views Education» more  CORR 2010»
13 years 5 months ago
Novel Mechanism to Defend DDoS Attacks Caused by Spam
Corporate mail services are designed to perform better than public mail services. Fast mail delivery, large size file transfer as an attachments, high level spam and virus protect...
Dhinaharan Nagamalai, Beatrice Cynthia Dhinakaran,...
CF
2008
ACM
13 years 9 months ago
Exact multi-pattern string matching on the cell/b.e. processor
String searching is the computationally intensive kernel of many security and network applications like search engines, intrusion detection systems, virus scanners and spam filter...
Daniele Paolo Scarpazza, Oreste Villa, Fabrizio Pe...