Title :
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
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;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.177
