An Advanced Intrusion Detection Algorithm for Network Traffic Using Convolution Neural Network

Abstract

There has been rapid advancement in networks and technology over the past few years, and Internet service providers are now available anywhere in the world. The number of thefts has increased, and many current systems have been breached. As a result, the need for creating information security technology to spot new attacks has grown significantly. An Intrusion Detection System (IDS) combines machine learning and deep learning algorithms to discover network abnormalities, is an essential information security technology. The central concept of this study is to find the elusive assault bundle by using a high-level intrusion detection system with high network performance. Likewise, in this approach, the attack detection is completed. The proposed system has shown that empowering brings incredible precision.