Proficient Intrusion Detection System using Machine Learning using Machine Learning

Abstract

With the ever-growing dependence on computer networks for various purposes, network security has become a crucial aspect. Proficient Network Intrusion Detection System (PNIDS) is an essential component of network security infrastructure that helps to detect and prevent unauthorized access and malicious activities on the network. The primary objective of this project is to design and implement a Network Intrusion Detection System that can detect and prevent network attacks. The system will be built using various techniques such as rule-based detection, anomaly detection, and machine learning-based detection.