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ACSAC
1999
IEEE
14 years 1 months ago
An Application of Machine Learning to Network Intrusion Detection
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
Chris Sinclair, Lyn Pierce, Sara Matzner
NIPS
1997
13 years 10 months ago
Intrusion Detection with Neural Networks
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
Jake Ryan, Meng-Jang Lin, Risto Miikkulainen
ICC
2009
IEEE
164views Communications» more  ICC 2009»
13 years 6 months ago
Policy-Based Security Configuration Management, Application to Intrusion Detection and Prevention
Intrusion Detection and/or Prevention Systems (IDPS) represent an important line of defense against the variety of attacks that can compromise the security and well functioning of...
Khalid Alsubhi, Issam Aib, Jérôme Fra...
CORR
2010
Springer
158views Education» more  CORR 2010»
13 years 8 months ago
Dynamic Multi Layer Signature based Intrusion Detection system Using Mobile Agents
Intrusion detection systems have become a key component in ensuring the safety of systems and networks. As networks grow in size and speed continues to increase, it is crucial tha...
Mueen Uddin, Azizah Abdul Rahman
CORR
2008
Springer
125views Education» more  CORR 2008»
13 years 8 months ago
Data Reduction in Intrusion Alert Correlation
: Network intrusion detection sensors are usually built around low level models of network traffic. This means that their output is of a similarly low level and as a consequence, ...
Gianni Tedesco, Uwe Aickelin