Intrusion Detection Based on K-means Clustering Analysis
Haiyu Li · Computer Programming Skills & Maintenance · 2009
This paper introduces an intrusion detection model based on clustering analysis and realizes an algorithm of K-means which can set up a database of intrusion detection and classify safe levels. This detection system can be set up without experiential data, which is capable of re-classifying intrusion behaviors in terms of related data automatically. The technique is applicable and self-adaptable.