Study on Clustering Problem for Intrusion Detection with Information Entropy
LI Qing-hua · Mini-micro Systems · 2005
This paper applies the theory of information entropy to the clustering problem for intrusion detection, and realizes the heuristic algorithm HBEC to solve the clustering problem for intrusion detection, which can deal with the database with large connection records incrementally. The experiment shows that HBEC is effective to resolve the intrusion detection problem and has the strongly incremental mining ability.