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KI
2007
Springer
13 years 4 months ago
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
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, after t...
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint ...
CIDM
2007
IEEE
13 years 4 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...
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...
IDEAL
2004
Springer
13 years 10 months ago
Detecting Worm Propagation Using Traffic Concentration Analysis and Inductive Learning
As a vast number of services have been flooding into the Internet, it is more likely for the Internet resources to be exposed to various hacking activities such as Code Red and SQL...
Sanguk Noh, Cheolho Lee, Keywon Ryu, Kyunghee Choi...