Feature Selection Method Based on Supervised Learning for Intrusion Detection System
Jun Guo · Jisuanji gongcheng · 2005
The first problem that needs to be solved in intrusion detection system based on pattern recognition method is feature selection. This paper proposes a method for feature selection in supervised learning depending on data distribution and correlation analysis. According to the experimental results, this algorithm performs well and it’s time complexity is low.