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A Study on Realtime Intrusion Detection System  

Kim, Byoung-Joo (영산대학교 정보통신학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.9, no.1, 2005 , pp. 40-44 More about this Journal
Abstract
Applying artificial intelligence, machine learning and data mining techniques to intrusion detection system are increasing. But most of researches are focused on improving the performance of classifier. These classifiers are performed by batch way and it is not proper method for realtime intrusion detection system. We propose an incremental feature extraction and classification technique for realtime intrusion detection system. Applying proposed system to KDD CUP 99 data, experimental result shows that it has similar capability compared to batch way intrusion detection system.
Keywords
실시간 침입탐지시스템;점증적 특징추출;기계학습;
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