• MUHAMED JAMSHIR M
• AJEESHA M I

An Intrusion Detection System is a system that monitors network traffic for detecting unauthorized access and issues alerts. It is a software application that scans a network or a system for harmful activity or policy breaching. IDS search for suspicious activity and known threats, sending up alerts when it finds such items. Each IDS is programmed to analyze traffic and identify patterns in that traffic that may indicate a cyberattack of various sorts. The prediction process may produce false alarms in many anomaly based intrusion detection systems. With the concept of fuzzy logic, the false alarm rate in establishing intrusive activities can be reduced. A set of efficient fuzzy rules can be used to define the normal and abnormal behaviors in a computer network. The KDDCup 99 dataset is used for the experiments and evaluation. This paper describes an intrusion detection system that utilize fuzzy logic.

Intrusion detection system, Fuzzy logic, Machine Learning, KDDCup99.

"FUZZY LOGIC FOR INTRUSION DETECTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 12, page no.877-882, December-2020, Available :http://www.jetir.org/papers/JETIR2012322.pdf

"FUZZY LOGIC FOR INTRUSION DETECTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 12, page no. pp877-882, December-2020, Available at : http://www.jetir.org/papers/JETIR2012322.pdf