• DocumentCode
    3097687
  • Title

    Vulnerability Assessment of Cybersecurity for SCADA Systems Using Attack Trees

  • Author

    Ten, Chee-Wooi ; Liu, Chen-Ching ; Govindarasu, Manimaran

  • Author_Institution
    Electr. Electr. & Comput. Eng. Dept., Iowa State Univ. of Sci. & Technol., Ames, IA
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    By penetrating the SCADA system, an intruder may remotely operate a power system using supervisory control privileges. Hence, cybersecurity has been recognized as a major threat due to the potential intrusion to the online system. This paper proposes a methodology to evaluate the cybersecurity vulnerability using attack trees. The attack tree formulation based on power system control networks is used to evaluate the system, scenario, and leaf vulnerabilities. The measure of vulnerabilities in the power system control framework is determined based on existing cybersecurity conditions before the vulnerability indices are evaluated. After the indices are evaluated, an upper bound is imposed on each scenario vulnerability in order to determine the pivotal attack leaves that require countermeasure improvements. The proposed framework can be extended to security investment analysis.
  • Keywords
    SCADA systems; power engineering computing; power system security; security of data; SCADA systems; attack trees; cybersecurity vulnerability; power system security; security investment analysis; vulnerability index; Computer security; Control systems; Power grids; Power system control; Power system protection; Power system security; SCADA systems; Supervisory control; Tree graphs; Upper bound; Attack Tree; Cybersecurity; Defense Systems; Power System Control; Security Vulnerability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385876
  • Filename
    4275642