2010 | OriginalPaper | Buchkapitel
Further Experimentation with Hybrid Immune Inspired Network Intrusion Detection
verfasst von : Robert L. Fanelli
Erschienen in: Artificial Immune Systems
Verlag: Springer Berlin Heidelberg
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This paper presents continued experimentation on the Network Threat Recognition with Immune Inspired Anomaly Detection, or NetTRIIAD, model. This hybrid model combines established network monitoring methods with artificial immune system methods to achieve improved performance. The paper presets experiments investigating the model’s performance in detecting novel threats and the performance contribution of the individual components.