An Enhanced Machine Larning based Threat Hunter An Intelligent Network Intrusion Detection System

Abstract

In network security, there are many applications and techniques that can be used to maintain targets of high-level security such as confidentiality, integrity, availability, and nonrepudiation for safe communication between different sources. This can be done by supporting networks with security systems to thwart any chances of exploitations by any attacker. Intrusion Detection System (IDS) is one of the major systems as it is capable of monitoring all network traffics (ingoing and outgoing) and performs some analysis and inspection to evaluate the behavior of such traffics. IDS can block all suspicious activities that are trying to breach any network based on policies that are demanded by a system administrator. Traditional IDS has some limits and does not provide a complete solution for some kind of problems. IDS searches for potential abnormal activities on the network traffic and sometimes succeeds to find some vulnerability which may result in compromising the network. We, therefore, suggest an efficient application in this paper of Machine Learning (ML) based IDS.