Research on Factor Neuron Model of SCADA Network Attack and Defence Based on Factor State Space
Li Yang, Xiedong Cao, Xinyu Geng, Jun Zhang · INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences · 2013
Abstract To solve the problem of knowledge reasoning and expression in SCADA network attack and defence system, a new factor neuron model of SCADA network attack and defence based on factor state space is presented. Combined with factor space theory and formal description of factor state space expression , factor neuron network model based on factor space is developed. On the basis of analysis and expression of network attack and defence factors, factor neuron model based on variable weight is presented. For illustration, by introducing factor space tree ,an attack simulation experiment is utilized to show the feasibility of our proposed method in solving network attack and defence knowledge expression., can be represented. Experimental results indicate that our proposed method can effectively improve recognition rate of different attacks. Factor neuron model based on factor state space can effectively solve complexity of knowledge reasoning and expression in network attack and defence system and provides a new method for solving similar application.