• DocumentCode
    643999
  • 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
  • Volume
    03
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 1 2012
  • Firstpage
    1367
  • Lastpage
    1371
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1855-6
  • Type

    conf

  • DOI
    10.1109/CCIS.2012.6664609
  • Filename
    6664609