Experiments and analysis for intrusion detection method based on machine learning
Sun Hong-we · Jisuanji gongcheng yu sheji · 2004
Intrusion detection system(IDS)is a very important instrument in the domain of information security.Machine learning was used to construct an IDS model on network connection level in order to test the feasibility and its performance.Ex- perimental results using a set of benchmark data from DARPA have shown that the performances of this anomaly detection system are fairly high.At the end,some useful conclusions were drawn according to the results.