Sign in
Back
Bayesian based intrusion detection system
Journal article   Open access  Peer reviewed

Bayesian based intrusion detection system

Hesham Altwaijry and Saeed Algarny
Journal of King Saud University. Computer and information sciences, Vol.24(1), pp.1-6
01/01/2012
DOI: https://doi.org/10.1016/j.jksuci.2011.10.001

Abstract

Computer Science Computer Science, Information Systems Science & Technology Technology
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. (C) 2011 King Saud University. Production and hosting by Elsevier B.V. All rights reserved.
url
https://doi.org/10.1016/j.jksuci.2011.10.001View
Published (Version of record) Open

Metrics

1 Record Views

Details