988 search results - page 26 / 198 » Intrusion Detection with Neural Networks |
ACSC
2005
IEEE
14 years 2 months ago
2005
IEEE
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
Since current internet threats contain not only malicious codes like Trojan or worms, but also spyware and adware which do not have explicit illegal content, it is necessary to hav...
FLAIRS
2007
13 years 10 months ago
2007
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
CCS
2007
ACM
14 years 2 months ago
2007
ACM
Stateful, in-depth, inline traffic analysis for intrusion detection and prevention is growing increasingly more difficult as the data rates of modern networks rise. Yet it remai...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We apply the Unsupervised Niche Clustering (UNC), a genetic niching technique for robust and unsupervised clustering, to the intrusion detection problem. Using the normal...