596 search results - page 1 / 120 » Detecting worm variants using machine learning |
CONEXT
2007
ACM
13 years 6 months ago
2007
ACM
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
JCS
2011
12 years 7 months ago
2011
Malicious software—so called malware—poses a major threat to the security of computer systems. The amount and diversity of its variants render classic security defenses ineffe...
KI
2007
Springer
13 years 4 months ago
2007
Springer
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...
ISI
2007
Springer
13 years 4 months ago
2007
Springer
—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...
CSDA
2008
13 years 4 months ago
2008
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...