Comparison and Analysis of Two Audit Data Reduction Methods for Intrusion Detection System
Tao Zou · Jisuanji gongcheng · 2003
This paper addresses the issue of identifying important input features in building an intrusion detection system (IDS). An algorithm named PFRM was first introduced and then a new algorithm (FSSGA) based on GA is proposed. The characteristics of both algorithms were analyzed. The experimental result using the same dataset shows that the performance of FSSGA is much better than PFRM.