• Dr. D Francis Xavier Christopher
• Ajeesha M I

In cyber security, intrusion detection is the act of detecting malicious attacks. Unauthorized users would never gain access to the system. The computer security is to limit the access to a computer system. An Intrusion detection system (IDS) is a software that monitors a single or a network of computers from malicious activities that steals the system information. IDS can distinguish between legitimate and illegitimate traffic and can able to signals attacks in real time, before malicious attacks occur. In this paper we describe a framework for building intrusion detection (ID) models. Machine learning algorithms are used for detecting attacks and helps the users to develop secure information systems.

Machine learning, Intrusion detection system.

"MACHINE LEARNING TECHNIQUES FOR INTRUSION DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.59-64, June 2019, Available :http://www.jetir.org/papers/JETIR1908B09.pdf

"MACHINE LEARNING TECHNIQUES FOR INTRUSION DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp59-64, June 2019, Available at : http://www.jetir.org/papers/JETIR1908B09.pdf