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Computer Science > Cryptography and Security

arXiv:2208.13884 (cs)
[Submitted on 29 Aug 2022]

Title:Toward a Mathematical Vulnerability Propagation and Defense Model in Smart Grid Networks

Authors:Abhijeet Sahu, Bin Mai, Katherine Davis, Ana Goulart
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Abstract:For reducing threat propagation within an inter-connected network, it is essential to distribute the defense investment optimally. Most electric power utilities are resource constrained, yet how to account for costs while designing threat reduction techniques is not well understood. Hence, in this work, a vulnerability propagation and a defense model is proposed based on an epidemic model. The new defense mechanism is then validated through sensitivity of the propagation parameters on the optimal investment with two-node and N-node cases. Further, the model efficacy is evaluated with implementation in one of the communication networks of a cyber-physical power system. Topological impact on the optimal nodal investment is also emphasized. Optimal investment of the neighbors with less degree were found to be highly sensitive to fluctuation in vulnerability exploitability probability.
Comments: 7 pages, 20 figures
Subjects: Cryptography and Security (cs.CR)
Cite as: arXiv:2208.13884 [cs.CR]
  (or arXiv:2208.13884v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2208.13884

Submission history

From: Abhijeet Sahu [view email]
[v1] Mon, 29 Aug 2022 20:54:30 UTC (1,295 KB)
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