Enhancing the features of Intrusion Detection System by using machine learning approaches
Swati Jaiswal, Neeraj Kumar Gupta, Hina Shrivastava · 2012
Abstract- The IDS always analyze network traffic to detect and analyze the attacks. The attack detection methods used by these systems are of two types: anomaly detection and misuse detection methods. Intrusion detection (ID) is a type of security management system for computers and networks. An ID system gathers and analyzes information from various areas within a computer or a network to identify possible security breaches, which include both intrusions and misuse. An Intrusion detection system is designed to classify the system activities into normal and abnormal. ID systems are being developed in response to the increasing number of attacks on major sites and networks. Intrusion detection is the act of detecting unwanted traffic on a network or a device. Several types of IDS technologies exist due to the variance of network configurations. In this paper, we provide you information about the methods that uses a combination of different machine learning approaches to detect a system attacks. I Index Terms- machine learning, IDS, neural network.