226 search results - page 6 / 46 » Application of Data Mining to Network Intrusion Detection: C... |
ACSC
2003
IEEE
14 years 28 days ago
2003
IEEE
In this paper, we present several general policies for deciding when to share probabilistic beliefs between agents for distributed monitoring. In order to evaluate these policies,...
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
ASC
2008
13 years 7 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
JCP
2006
13 years 7 months ago
2006
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
CISISSPAIN
2011
12 years 11 months ago
2011
In last decades there have been many proposals from the machine learning community in the intrusion detection field. One of the main problems that Intrusion Detection Systems (IDSs...