DocumentCode
1839766
Title
Network Intrusion Classification Based on Probabilistic Neural Network
Author
Liu Ning
Author_Institution
Dept. of Comput. Sci., ShangLuo Univ., ShangLuo, China
fYear
2013
fDate
21-23 June 2013
Firstpage
57
Lastpage
59
Abstract
In order to improve the performance of network intrusion classification, the probabilistic neural network is applied to the field of intrusion detection. Analyzing the theory of probabilistic neural network, a kind of network intrusion classification model based on probabilistic neural network is put forward to solve two classification and multi-class classification problem in intrusion detection. Finally, the experiment is carried out based on KDD Cup 99 data set. The results show that the proposed model has better performance.
Keywords
neural nets; pattern classification; probability; security of data; intrusion detection; multiclass classification problem; network intrusion classification; probabilistic neural network; Biological neural networks; Intrusion detection; Neurons; Probabilistic logic; Training; Vectors; Probabilistic neural network; classification; intrusion detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location
Shiyang
Type
conf
DOI
10.1109/ICCIS.2013.23
Filename
6642938
Link To Document