A Comparative Approach for Host Based Intrusion Detection Using Naiyve Bayes and KNN Algorithm

Abstract

Despite the existence of various types of network intrusion detection system, growth of attacks at host level has increased in the present time. Therefore, there is a huge potential of research in this field and which motivates this research work. This paper analyses the pattern of four classes of attacks used to deploy host-based intrusion. KNN and Naïve-Bayes algorithms are employed and compared in this research work to determine the presence of intrusion using standard measures of performance.