원문정보
초록
영어
To solve the security problem in the supervisor control and data acquisition (SCADA), a new factor network model of SCADA network attack and defense based on factor state space is presented. Combining with factor space theory, formal descriptions of factor neurons based on factor state space are developed. On the basis of analysis and expression of network attack and defense factors, factor neuron model based on variable weight is proposed and a FNN-based security defense architecture model for SCADA network is put forward. For illustration, by introducing factor space canes, an attack simulation experiment is utilized to show the feasibility of the proposed method in solving network attack and defense knowledge reasoning. Experimental results indicate that the proposed method can effectively improve recognition rate of different attacks. Factor neuron network based on factor state space can effectively solve complexity of knowledge reasoning and expression in network attack and defense system and provides a new method for solving similar application.
목차
1. Introduction
2. Formal Description of Factor State space
2.1. Factor and Factor Space
2.2. Factors State Space Based on Object
2.3. Knowledge Factor Expression
2.4. Formal Description of Analysis Factor neuron
2.5. Formal Description of Analog Factor Neuron
2.6. Formal Description of Combined Factor Neurons
3. Factor Neuron Network Model based on Factor Space
3.1. Threshold Neuron Model Unrelated to Time
3.2. General Expression of Linear Neuron Model Unrelated to Time
4. Factor Neuron Model based on Variable Weight
5. Simulation Experiment on SCADA Network Attack and Defense
6. Conclusions
Acknowledgements
References