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CSDA
2008
147views more  CSDA 2008»
13 years 4 months ago
Detection of unknown computer worms based on behavioral classification of the host
Machine learning techniques are widely used in many fields. One of the applications of machine learning in the field of the information security is classification of a computer be...
Robert Moskovitch, Yuval Elovici, Lior Rokach
ISI
2007
Springer
13 years 4 months ago
Host Based Intrusion Detection using Machine Learning
—Detecting unknown malicious code (malcode) is a challenging task. Current common solutions, such as anti-virus tools, rely heavily on prior explicit knowledge of specific instan...
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima S...
CIDM
2007
IEEE
13 years 5 months ago
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining
— Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, aft...
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima S...
ANCS
2006
ACM
13 years 10 months ago
WormTerminator: an effective containment of unknown and polymorphic fast spreading worms
The fast spreading worm is becoming one of the most serious threats to today’s networked information systems. A fast spreading worm could infect hundreds of thousands of hosts w...
Songqing Chen, Xinyuan Wang, Lei Liu, Xinwen Zhang
GCC
2005
Springer
13 years 10 months ago
A Worm Behavioral Approach to Susceptible Host Detection
A new detection approach based on worm behaviors for IDS anti-worm is presented. By the method, the susceptible hosts probed by worms can be detected, and then an immediate counter...
BaiLing Wang, Binxing Fang, Xiao-chun Yun