Unknown Network Detection using Machine Learning Method in Packet Sniffing

Abstract

Packet sniffing is the increased concern in this cyber era. any hacker or intruder can monitor what data is going on in the network. This raises a concern to detect and avoid these intruders. These are in the form of a botnets or small softwares which keeps eye on network traffic. In this work we provided a solution to detect these intruders and monitor the traffic securely.NIMA and MAWI dataset is used for network analysis and machine learning classifiers like SVM, KNN and navie bays are applied and compared. A pre-processing of attributes selection is done before feeding the data into classifiers.