A Review on Network Intrusion Detection System Using Machine Learning

Bello Nazifi Kagara, Maheyzah Md Siraj
2020 International Journal of Innovative Computing  
The quality or state of being secure is the crucial concern of our daily life usage of any network. However, with the rapid breakthrough in network technology, attacks are becoming more trailblazing than defenses. It is a daunting task to design an effective and reliable intrusion detection system (IDS), while maintaining minimal complexity. The concept of machine learning is considered an important method used in intrusion detection systems to detect irregular network traffic activities. The
more » ... e of machine learning is the current trend in developing IDS in order to mitigate false positives (FP) and False Negatives (FN) in the anomalous IDS. This paper targets to present a holistic approach to intrusion detection system and the popular machine learning techniques applied on IDS systems, bearing In mind the need to help research scholars in this continuous burgeoning field of Intrusion detection (ID).
doi:10.11113/ijic.v10n1.252 fatcat:6edwiqiufvazdnjn7pkejaatx4