JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 30 Issue 5-6
November 2015
Article Contents
XU Jing, YAO Zhi-lei, XU Sen, et al. Research on intrusion detection system in hierarchical network architecture of smart grid[J]. Journal of Light Industry, 2015, 30(5-6): 88-92. doi: 10.3969/j.issn.2095-476X.2015.5/6.018
Citation: XU Jing, YAO Zhi-lei, XU Sen, et al. Research on intrusion detection system in hierarchical network architecture of smart grid[J]. Journal of Light Industry, 2015, 30(5-6): 88-92. doi: 10.3969/j.issn.2095-476X.2015.5/6.018 shu

Research on intrusion detection system in hierarchical network architecture of smart grid

  • Received Date: 2015-05-18
    Available Online: 2015-11-15
  • In order to improve the safety and reliability of the smart grid, the intrusion detection system was applied to the smart grid.As smart grid had the characteristics of large number of network nodes, large amount of information transmission and high safety requirements, an intrusion detection model based on multi-agent was established, and was deployed in the hierarchical network structure of smart grid.Therefore, amount of transmission data was reduced, bandwidth was saved and speed bottleneck problem was solved.With the purpose of reducing false positive rate and false negative rate in current intrusion detection system, dynamic clonal selection algorithm for the smart grid environment was proposed.The proposed algorithm could be combined with the multi-agent technology, the immune agents were constructed.The proposed model and algorithm were simulated by KDD'99 datasets.Simulation results showed that the proposed system had low false positive rate and improved the detection rate of Dos and Probing attack that are common attack in smart grid.
  • 加载中
    1. [1]

      Farhangi H.The path of the smart grid[J].IEEE Power and Energy Magazine,2010,8(1):18.

    2. [2]

      何光宇,孙英云,梅生伟,等.多指标自趋优的智能电网[J].电力系统自动化,2009,33(17):1.

    3. [3]

      Kuzlu M,Pipattanasomporn M,Rahman S.Communication network requirements for major smart grid applications in HAN,NAN and WAN[J].Computer Networks,2014,67:74.

    4. [4]

      McDaniel P.Security and privacy challenges in the smart grid[J].IEEE Security and Privacy,2009,7(3):75.

    5. [5]

      许颖梅.基于Web数据流技术的网络入侵检测研究[J].郑州轻工业学院学报:自然科学版,2012,27(3):11.

    6. [6]

      王汝传,王华,徐小龙.基于移动代理的入侵检测系统模型的研究[J].通信学报,2004,25(1):22.

    7. [7]

      王晋,李德全,冯登国.一种基于移动代理自动优化的分布式入侵检测系统[J].计算机研究与发展,2006,43(1):9.

    8. [8]

      Berthier R,Sanders W H,Khurana H.Intrusion detection for advanced metering infrastructures:requirements and architectural directions[C]//IEEE International Conference on Smart Grid Communications,Piscataway:IEEE,2010:350-355.

    9. [9]

      Jokar P,Nicanfar H,Leung V C M.Specification-based intrusion detection for home area networks in smart grids[C]//IEEE International Conference on Smart Grid Communications,Piscataway:IEEE,2011:208-213.

    10. [10]

      Beigi-Mohammadi N,Misic J,Khazaei H,et al.An intrusion detection system for smart grid neighborhood area network[C]//IEEE International Conference on Communications,Piscataway:IEEE,2014:4125-4130.

    11. [11]

      Jungwon K,Bentley P J.Towards an artificial immune system for network intrusion detection:An investigation of dynamic clonal selection[C]//Proceeding of the 2002 Congress on Evolutionary Computation,Piscataway:IEEE,2002:1015-1020.

Article Metrics

Article views(1042) PDF downloads(24) Cited by()

Ralated
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return