Implementation and Performance Analysis of FLBS Fuzzy Lion Bayes System for Intrusion Detection in Wireless Network

Abstract

An important problem in Wireless Network is that they have a minimum newlinenumber of resources, which leads to high-security threats. In this report, the newlineFuzzy Lion Bayes System (FLBS) is proposed for intrusion detection in wireless newlinenetwork. Initially, the data set is grouped into a number of clusters by the fuzzy newlineclustering algorithm. Then, the model for each data group is created by finding the newlinemean and variance of the data attributes in the data group. Then Naive bayes newlineclassifier is used to find out abnormal nodes based on the posterior probability newlinefunction. Lion Optimization will be integrated to optimize the system. Proposed newlinesystem finds the normal and attacked node in the wireless network with a high newlineaccuracy. The whole experiment has been performed on KDD Cup 99 Data set. newlineExperimental results show that proposed FLBS system outperforms other existing newlineintrusion detection systems and they are acceptable to the international standard of newlineintrusion detection system. newline