Title :
Research on application of Bayesian discriminant method in intrusion detection model
Author :
Guan Keqing ; Kong Xianli
Author_Institution :
Inf. Technol. & Bus. Manage. Dept., Dalian Neusoft Univ. of Inf., Dalian, China
Abstract :
An intrusion detection model based on bayesian discriminant method is constructed in this paper. The intrusion detection problem is transformed into a discriminant classify problem in the model. We use stepwise discriminant method in selecting significant discriminatory variables to decrease computational complexity. The model is trained and validated by using the denial of service (DoS) attack data of KDD CUP99´s data set. The result of the experiment shows high correctly identified percentage of the model. Intrusion detection system can be constructed with the model when there are sufficient network packet records as a support.
Keywords :
Internet; belief networks; computational complexity; computer network security; Bayesian discriminant method; DoS; KDD CUP99 data set; computational complexity; denial of service attack data; discriminant classify problem; intrusion detection model; network packet records; stepwise discriminant method; Bayes methods; Computer crime; Covariance matrices; Data models; Hidden Markov models; Intrusion detection; Mathematical model; bayesian discriminant method; intrusion detection system; stepwise discriminant method;
Conference_Titel :
Information Technology and Electronic Commerce (ICITEC), 2014 2nd International Conference on
Print_ISBN :
978-1-4799-5298-4
DOI :
10.1109/ICITEC.2014.7105596
