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» Network Intrusion Detection Using Genetic Clustering
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IPPS
2006
IEEE
14 years 2 months ago
A nonself space approach to network anomaly detection
The paper presents an approach for the anomaly detection problem based on principles of immune systems. Flexibility and efficiency of the anomaly detection system are achieved by ...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...
NDSS
2000
IEEE
14 years 29 days ago
Building Adaptive and Agile Applications Using Intrusion Detection and Response
Traditional Intrusion Detection Systems (IDSs) mostly work off-line, without any direct runtime interaction or coordination with the applications (and with other IDSs) that they a...
Joseph P. Loyall, Partha Pratim Pal, Richard E. Sc...
SAC
2004
ACM
14 years 2 months ago
Unsupervised learning techniques for an intrusion detection system
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Stefano Zanero, Sergio M. Savaresi
OTM
2007
Springer
14 years 2 months ago
Toward Sound-Assisted Intrusion Detection Systems
Network intrusion detection has been generally dealt with using sophisticated software and statistical analysis, although sometimes it has to be done by administrators, either by d...
Lei Qi, Miguel Vargas Martin, Bill Kapralos, Mark ...
RAID
1999
Springer
14 years 25 days ago
Improving Intrusion Detection Performance using Keyword Selection and Neural Networks
The most common computer intrusion detection systems detect signatures of known attacks by searching for attack-specific keywords in network traffic. Many of these systems suffer ...
Richard Lippmann, Robert K. Cunningham