1274 search results - page 35 / 255 » Combined Data Mining Approach for Intrusion Detection |
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrus...
IJAIT
2007
14 years 9 months ago
2007
Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have s...
107
click to vote
ACSAC
2003
IEEE
15 years 1 months ago
2003
IEEE
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
ASPLOS
2010
ACM
15 years 4 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...
ECAI
2010
Springer
14 years 10 months ago
2010
Springer
Recently the efficiency of an outlier detection algorithm ORCA was improved by RCS (Randomization with faster Cutoff update and Space utilization after pruning), which changes the ...