Intelligent Intrusion Detection System for APACHE WEB SERVER Empowered with Machine Learning Approaches

Abstract

Nowadays, the online communication between vendors and customer are most familiar ways due to covid-19 pandemic. The to make this communication more effective and secure, the system requires more accurate and efficient   algorithms. So in this research work an intrusion detection system for Apache web servers is proposed. The proposed method uses the Naive Bayes machine learning algorithm for training. The data set for training is taken from IEEE. The cross validation accuracy of proposed system is 98.6%.