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 :
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