307 search results - page 24 / 62 » Host Based Intrusion Detection using Machine Learning |
IMC
2004
ACM
14 years 1 months ago
2004
ACM
Current intrusion detection and prevention systems seek to detect a wide class of network intrusions (e.g., DoS attacks, worms, port scans) at network vantage points. Unfortunatel...
IMC
2009
ACM
14 years 2 months ago
2009
ACM
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
IWIA
2005
IEEE
14 years 1 months ago
2005
IEEE
Malware defenses have primarily relied upon intrusion fingerprints to detect suspicious network behavior. While effective for discovering computers that are already compromised,...
IMC
2010
ACM
13 years 5 months ago
2010
ACM
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
EVOW
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Lexical variance in biomedical texts poses a challenge to automatic protein relation mining. We therefore propose a new approach that relies only on more general language...