345 search results - page 20 / 69 » Using Active Learning in Intrusion Detection |
IJON
2006
14 years 10 months ago
2006
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the fu...
ASPLOS
2010
ACM
15 years 5 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
AI
2008
Springer
15 years 5 months 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...
ACSAC
2009
IEEE
15 years 5 months ago
2009
IEEE
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...