DocumentCode
2250154
Title
Incremental intrusion detecting method based on SOM/RBF
Author
Tian, Li-ye ; Liu, Wei-peng
Author_Institution
Dept. of Electron. & Inf. Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Volume
6
fYear
2010
fDate
11-14 July 2010
Firstpage
2849
Lastpage
2853
Abstract
An incremental intrusion detecting model is proposed in this paper. This model integrates unsupervised Self Organizing Map and supervised Radial Basis Function to complete incremental learning. Self Organizing Map can get new type intrusion information and generate new nodes in Radial Basis Function. By this model, intrusion of unknown type can be detected online. Experiment results show our model could detect new type intrusions without forgetting the old ones.
Keywords
learning (artificial intelligence); radial basis function networks; security of data; self-organising feature maps; RBF; SOM; incremental intrusion detection; incremental learning; supervised radial basis function; unsupervised self organizing map; Artificial neural networks; Cybernetics; Intrusion detection; Machine learning; Neurons; Tin; Training; Artificial neural network; Intrusion detection system; RBF; SOM; incremental learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580770
Filename
5580770
Link To Document