Bayesian based intrusion detection system
Hesham Altwaijry, Saeed Algarny · Journal of King Saud University - Computer and Information Sciences · 2011
In this paper an intrusion detection system is developed using Bayesian probability. The system developed is a naive Bayesian classifier that is used to identify possible intrusions. The system is trained a priori using a subset of the KDD dataset. The trained classifier is then tested using a larger subset of KDD dataset. The Bayesian classifier was able to detect intrusion with a superior detection rate.