23 search results - page 4 / 5 » Applying CMAC-Based On-Line Learning to Intrusion Detection |
CORR
2010
Springer
13 years 5 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...
EC
2000
13 years 5 months ago
2000
An artificial immune system (ARTIS) is described which incorporates many properties of natural immune systems, including diversity, distributed computation, error tolerance, dynam...
CONEXT
2007
ACM
13 years 7 months ago
2007
ACM
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
CCS
2009
ACM
14 years 9 days ago
2009
ACM
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
RAID
2005
Springer
13 years 11 months ago
2005
Springer
Intrusion detection systems are fundamentally passive and fail–open. Because their primary task is classification, they do nothing to prevent an attack from succeeding. An intru...