• DocumentCode
    31601
  • Title

    SOCCA: A Security-Oriented Cyber-Physical Contingency Analysis in Power Infrastructures

  • Author

    Zonouz, Saman ; Davis, Charles M. ; Davis, Katherine R. ; Berthier, Robin ; Bobba, Rakesh B. ; Sanders, William H.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Miami, Miami, FL, USA
  • Volume
    5
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    3
  • Lastpage
    13
  • Abstract
    Contingency analysis is a critical activity in the context of the power infrastructure because it provides a guide for resiliency and enables the grid to continue operating even in the case of failure. In this paper, we augment this concept by introducing SOCCA, a cyber-physical security evaluation technique to plan not only for accidental contingencies but also for malicious compromises. SOCCA presents a new unified formalism to model the cyber-physical system including interconnections among cyber and physical components. The cyber-physical contingency ranking technique employed by SOCCA assesses the potential impacts of events. Contingencies are ranked according to their impact as well as attack complexity. The results are valuable in both cyber and physical domains. From a physical perspective, SOCCA scores power system contingencies based on cyber network configuration, whereas from a cyber perspective, control network vulnerabilities are ranked according to the underlying power system topology.
  • Keywords
    power grids; power system planning; power system security; SOCCA; accidental contingency; control network; cyber components; cyber network configuration; cyber perspective; cyber-physical security evaluation; grid operation; malicious compromises; physical components; power infrastructures; power system contingency; power system topology; security-oriented cyber-physical contingency analysis; Algorithm design and analysis; Indexes; Mathematical model; Network topology; Power grids; Security; Contingency analysis; cyber-physical systems; security; situational awareness; state estimation;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2013.2280399
  • Filename
    6687271