596 search results - page 6 / 120 » Detecting worm variants using machine learning |
ICML
2008
IEEE
16 years 12 days ago
2008
IEEE
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
93
Voted
NSPW
2006
ACM
15 years 5 months ago
2006
ACM
In considering new security paradigms, it is often worthwhile to anticipate the direction and nature of future attack paradigms. We identify a class of attacks based on the idea o...
SP
2010
IEEE
15 years 3 months ago
2010
IEEE
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
AAAI
2008
15 years 1 months ago
2008
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
ECIR
2007
Springer
15 years 1 months ago
2007
Springer
Information retrieval systems (IRSs) usually suffer from a low ability to recognize a same idea that is expressed in different forms. A way of improving these systems is to take ...