Network Intrusion Detection with Incremental Learning Algorithm Based on Hierarchies Decision Tables
Donghao Liu · Jisuanji gongcheng · 2010
Because there are rule update problems in network intrusion detection system whose rules are represented with rough decision table,this article presents representing the rules with hierarchies decision tables and making use of incremental learning algorithm to learn the new rules.Experimental results are carried out based on a set of benchmark DARPA data.It is observed that network intrusion detection system with hierarchies decision tables has a shorter training time,relatively low false negative rate and high accurate results for Probe and R2LU2R attacks in comparison with that one only with rough decision table.