TY - JOUR
T1 - Measuring Systemic Risk of Switching Attacks Based on Cybersecurity Technologies in Substations
AU - Yamashita, Koji
AU - Ten, Chee Wooi
AU - Rho, Yeonwoo
AU - Wang, Lingfeng
AU - Wei, Wei
AU - Ginter, Andrew
N1 - Funding Information:
Manuscript received May 29, 2019; revised September 19, 2019 and February 25, 2020; accepted April 5, 2020. Date of publication April 27, 2020; date of current version November 4, 2020. This work was supported in part by the US National Science Foundation (NSF) under the awards “1739422 and 1739485 CPS: Medium: Collaborative Research: An Actuarial Framework of Cyber Risk Management for Power Grids.” Paper no. TPWRS-00754-2019. (Corresponding author: Chee-Wooi Ten.) Koji Yamashita and Chee-Wooi Ten are with the Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI 49931 USA (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1969-2012 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - This paper describes the derivation of steady-state probabilities of the power communication infrastructure based on today's cybersecurity technologies. The elaboration of steady-state probabilities is established on (i) modified models developed such as password models, (ii) new models on digital relays representing the authentication mechanism, and (iii) models for honeypots/honeynet within a substation network. A generalized stochastic Petri net (GSPN) is utilized to formulate the detailed statuses and transitions of components embedded in a cyber-net. Comprehensive steady-state probabilities are quantitatively and qualitatively performed. The methodologies on how transition probabilities and rates are extracted from the network components and a conclusion of actuarial applications is discussed.
AB - This paper describes the derivation of steady-state probabilities of the power communication infrastructure based on today's cybersecurity technologies. The elaboration of steady-state probabilities is established on (i) modified models developed such as password models, (ii) new models on digital relays representing the authentication mechanism, and (iii) models for honeypots/honeynet within a substation network. A generalized stochastic Petri net (GSPN) is utilized to formulate the detailed statuses and transitions of components embedded in a cyber-net. Comprehensive steady-state probabilities are quantitatively and qualitatively performed. The methodologies on how transition probabilities and rates are extracted from the network components and a conclusion of actuarial applications is discussed.
KW - Actuarial science
KW - cyber-physical security
KW - residual risks
KW - steady-state probabilities
KW - substation technologies
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U2 - 10.1109/TPWRS.2020.2986452
DO - 10.1109/TPWRS.2020.2986452
M3 - Article
AN - SCOPUS:85095975850
SN - 0885-8950
VL - 35
SP - 4206
EP - 4219
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 6
M1 - 9078877
ER -