531 search results - page 2 / 107 » Unsupervised learning techniques for an intrusion detection ... |
CCS
2009
ACM
14 years 1 months ago
2009
ACM
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
AI
2008
Springer
14 years 23 days ago
2008
Springer
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
JIPS
2010
13 years 1 months ago
2010
Abstract--The Internet explosion and the increase in crucial web applications such as ebanking and e-commerce, make essential the need for network security tools. One of such tools...
PAKDD
2009
ACM
14 years 1 months ago
2009
ACM
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. We apply the Unsupervised Niche Clustering (UNC), a genetic niching technique for robust and unsupervised clustering, to the intrusion detection problem. Using the normal...