• DocumentCode
    1797660
  • Title

    Applying of network security situation awareness in smart substations

  • Author

    Wei Huang ; Yajuan Guo ; Ling Zhuang ; Qin Mei ; Xiaohai Xu

  • Author_Institution
    Jiangsu Electr. Power Res., Inst. Co., Ltd., Nanjing, China
  • fYear
    2014
  • fDate
    15-17 Nov. 2014
  • Firstpage
    137
  • Lastpage
    142
  • Abstract
    Applying of network security situation awareness in smart substations provides a high level view to understand the security situation of substations. After analyzing security threats faced by smart substations, this paper not only proposes a security situation awareness framework from aspects of physical security, network security, system security, protocol security and data security, but also puts forward a network security monitoring solution for substations, which uses a kind of dedicated smart substation network security situation awareness devices to collect security events, analyze them and generate situation analysis results. Further, we focus on several key technologies used in our framework. Finally, we describe a design scheme including hardware and software for the smart substation network security awareness system and its implementation architecture, in which a multi-layer software architecture is adopted by the system, and a combinatory of the Intel® Sandy Bridge, the bus structure and a modular design technology, is adopted in order to meet the need of high performance.
  • Keywords
    security of data; software architecture; substations; Intel Sandy Bridge; data security; multi-layer software architecture; network security situation awareness; physical security; protocol security; smart substations; system security; Communication networks; Computer architecture; Data integration; Protocols; Security; Sensors; Substations; framework; network security; situation awareness; substation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2014 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-5457-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2014.7009274
  • Filename
    7009274