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Will Updated Electricity Infrastructure Security Protect the Grid? A Case Study Modeling Electrical Substation Attacks

Author(s):
Medium: journal article
Language(s): English
Published in: Infrastructures, , n. 4, v. 3
Page(s): 53
DOI: 10.3390/infrastructures3040053
Abstract:

As targeted attacks continue to threaten electricity infrastructure, the North American Electricity Reliability Corporation (NERC) and private utilities companies are revising and updating the physical and cybersecurity standards for grid infrastructure in the United States (U.S.). Using information collected about past physical attacks, feasible physical and cyber-physical attacks are modeled against the proposed updated security standards for a U.S.-based generic electric substation. Utilizing the software program Joint Conflict and Tactical Simulation (JCATS), a series of increasingly sophisticated physical attacks are simulated on the substation, as are a set of cyber-enabled physical attacks. The purpose of this study is to determine which of the security upgrades will be most effective at mitigating damages to the electrical infrastructure from an attack. The findings indicate that some of the utility and agency-proposed security measures are more effective than others. Specifically, additional barriers around the substation and physical armored protection of transformers are most effective at mitigating damages from attacks. In contrast, increased lighting at the substation and reducing the surrounding foliage are not as effective. This case study demonstrates a modeling analysis approach to testing the efficacy of physical security measures that can assist in utility and agency decision-making for critical infrastructure security.

License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10723323
  • Published on:
    22/04/2023
  • Last updated on:
    10/05/2023
 
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