A Comprehensive survey of Machine Learning for Intrusion Detection
Prof. K. Venkata Rao, Prof. Prasad Reddy P.V.G.D · International Journal of Research in Advent Technology · 2019
With the massive usage of the internet, the vulnerability of network security becomes an important issue.Intrusion detection System (IDS) is one of the major research problems in network security.IDSs are developed to detect known and unknown attacks of both Computer and computer networks.This paper presents different methods used in IDS for protecting computers and networks for over a decade.This study analyzes different machine learning methods in IDS.It also reviews related studies in the period between 2008 and 2017 focusing on single, hybrid, and ensemble classifiers with relevant datasets.