Application of Neuro-Fuzzy Approach for I2D2RS

Author

Hongmei Kai ; Hongbing Zhu ; Kei Eguchi ; Zhanyong Guo ; Jun Wang ; Zheng, Hong

Author_Institution

Hiroshima Kokusai Gakuin Univ., Tokyo

fYear

2007

fDate

5-7 Sept. 2007

Firstpage

90

Lastpage

90

Abstract

In this paper, one backpropagation neural network (BPNN) was utilized to classify the grades of periodicity of the time intervals that is one of the most important evidence of the intrusion decision in the intelligent intrusion detection, decision, response system (I²D²RS) for resolving its problems: multi-inputs/outputs, non-linearing and complexity. Neural network is good at processing these problems. And for the Neuro-Fuzzy approach was introduced in the I²D²RS the fuzzy rules was simplified and the system´s processing speed was accelerated.

Keywords

backpropagation; fuzzy neural nets; security of data; backpropagation neural network; intelligent intrusion decision; intelligent intrusion detection; intelligent intrusion response system; neuro-fuzzy approach; Backpropagation; Computer languages; Computer networks; Electronic mail; Fuzzy systems; Information security; Intrusion detection; Multi-layer neural network; Neural networks; Neurons;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on

Conference_Location

Kumamoto

Print_ISBN

0-7695-2882-1

Type

conf

DOI

10.1109/ICICIC.2007.177

Filename

4427735