Analysis for Intrusion Detection in Wireless Ad-Hoc Networks
As Mobile Ad-hoc NETwork (MANET) has become a very important technology, research concerning its security problem, especially, in intrusion detection has attracted many researchers. Feature selection methodology plays a central role in the data analysis process. The proposed features are tested in deferent network operating conditions. PCA is used to analyze the selected features. Performance reduction will occur both in speed and predictive accuracy. This paper aims to select and analyze the network features using principal component analysis.