Development and Assessment of Intrusion Detection System Using Machine Learning Algorithm
In today's world, the internet is an important part of everyone's life. People cannot think of a single moment without the existence of the internet. With the increasing involvement of the internet in people's daily life, it is very important to make it secure. Now to make communication system more secure there is a need of Intrusion Detection Systems which can be roughly classified as anomaly-based detection systems and signature-based detection systems. In the paper, the authors presents a simple and robust method for intrusion detection in computer networks based on Principal Component Analysis (PCA) where each network connection is transformed into an input data vector.