TY - JOUR
T1 - A Cyber-Insurance Scheme for Water Distribution Systems Considering Malicious Cyberattacks
AU - Zhang, Yunfan
AU - Wang, Lingfeng
AU - Liu, Zhaoxi
AU - Wei, Wei
N1 - Funding Information:
Manuscript received June 21, 2020; revised November 9, 2020; accepted December 1, 2020. Date of publication December 18, 2020; date of current version January 5, 2021. This work was supported by the U.S. National Science Foundation (NSF) under Award ECCS1739485. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Eduard A. Jorswieck. (Corresponding author: Lingfeng Wang.) Yunfan Zhang, Lingfeng Wang, and Zhaoxi Liu are with the Department of Electrical Engineering and Computer Science, University of Wisconsin– Milwaukee, Milwaukee, WI 53211 USA (e-mail: [email protected]).
Publisher Copyright:
© 2005-2012 IEEE.
PY - 2021
Y1 - 2021
N2 - As one of the national critical infrastructures, the water distribution system supports our daily life and economic growth, the failure of which may lead to catastrophic results. Besides the uncertainty from the system component failures, cyberattacks are vital to the secure system operation and have great impacts on the reliability of the water supply service. Malicious attackers may intrude into the supervisory control and data acquisition (SCADA) system of pump stations in the water distribution networks and interrupt the water supply to the customers. Cyber insurance is emerging as a promising financial tool in system risk management. In this paper, cyber insurance is proposed for the cyber risk management of the water distribution system. A semi-Markov process (SMP) model is devised to model the cyberattacks against pump stations in the water distribution system. Both the impacts of the independent cyber risks in the individual distribution network and the correlated cyber risks shared across different water distribution networks are evaluated and modeled. A sequential Monte Carlo Simulation (MCS) based algorithm is developed to evaluate the system loss. Cyber insurance premiums for the water distribution networks are designed based on the actuarial principles and potential system losses. Case studies are also performed on multiple representative water distribution networks, and the results demonstrate the validity of the proposed cyber insurance model.
AB - As one of the national critical infrastructures, the water distribution system supports our daily life and economic growth, the failure of which may lead to catastrophic results. Besides the uncertainty from the system component failures, cyberattacks are vital to the secure system operation and have great impacts on the reliability of the water supply service. Malicious attackers may intrude into the supervisory control and data acquisition (SCADA) system of pump stations in the water distribution networks and interrupt the water supply to the customers. Cyber insurance is emerging as a promising financial tool in system risk management. In this paper, cyber insurance is proposed for the cyber risk management of the water distribution system. A semi-Markov process (SMP) model is devised to model the cyberattacks against pump stations in the water distribution system. Both the impacts of the independent cyber risks in the individual distribution network and the correlated cyber risks shared across different water distribution networks are evaluated and modeled. A sequential Monte Carlo Simulation (MCS) based algorithm is developed to evaluate the system loss. Cyber insurance premiums for the water distribution networks are designed based on the actuarial principles and potential system losses. Case studies are also performed on multiple representative water distribution networks, and the results demonstrate the validity of the proposed cyber insurance model.
KW - cyber insurance
KW - Cybersecurity
KW - premiums
KW - reliability evaluation
KW - water distribution system
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U2 - 10.1109/TIFS.2020.3045902
DO - 10.1109/TIFS.2020.3045902
M3 - Article
AN - SCOPUS:85098765622
SN - 1556-6013
VL - 16
SP - 1855
EP - 1867
JO - IEEE Transactions on Information Forensics and Security
JF - IEEE Transactions on Information Forensics and Security
M1 - 9298804
ER -