Title :
Research on FNN-based security defence architecture model of scada network
Author :
Li Yang ; Xiedong Cao ; Jie Li ; Aomin Wang ; Weibin Tan ; Zhijun Yu
Author_Institution :
Sch. of Comput. Sci., Southwest Pet. Univ., Chengdu, China
fDate :
Oct. 30 2012-Nov. 1 2012
Abstract :
SCADA systems have become one important part of nation infrastructure, and SCADA network security defense is a hot topic in the research area of SCADA system. A security problem in the SCADA system can be modeled into an online digital intelligent defensing process, including all reasoning judgment, thinking and expression in attacking and defense with the factor neural network (FNN) theory which has unified frame of knowledge representation and strict mathematics base. With the analysis of the composition and network topology structure of SCADA system, a FNN-based security defense architecture model of SCADA network is presented. Firstly, formal representations of factor neurons are analysized. Secondly, the structure and work process of the combined neural network. Then, instance of factor space canes is described. Finally, the experimental results verify the effectiveness and feasibility of the model, which can provide the theory support for solving the problem of SCADA network security defense architecture moding and simulation.
Keywords :
SCADA systems; knowledge representation; neural nets; FNN-based security defence architecture model; SCADA network security defense architecture moding; SCADA network security defense architecture simulation; SCADA systems; composition analysis; factor neural network theory; factor neurons; factor space canes; formal representation; knowledge representation; network topology structure; online digital intelligent defensing process; reasoning judgment; Analytical models; Biological neural networks; Cognition; Knowledge based systems; Neurons; SCADA systems; Security; FNN; SCADA; factor space; knowledge database;
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
DOI :
10.1109/CCIS.2012.6664609