Quantifying Adversary Capabilities to Inform Defensive Resource Allocation
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DOI: 10.1111/risa.12399
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- Edouard Kujawski, 2016. "A Probabilistic Game‐Theoretic Method to Assess Deterrence and Defense Benefits of Security Systems," Systems Engineering, John Wiley & Sons, vol. 19(6), pages 549-566, November.
- Ridwan Al Aziz & Meilin He & Jun Zhuang, 2020. "An Attacker–defender Resource Allocation Game with Substitution and Complementary Effects," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1481-1506, July.
- Jalali, Sajjad & Seifbarghy, Mehdi & Niaki, Seyed Taghi Akhavan, 2018. "A risk-averse location-protection problem under intentional facility disruptions: A modified hybrid decomposition algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 196-219.
- Hausken, Kjell, 2024. "Fifty Years of Operations Research in Defense," European Journal of Operational Research, Elsevier, vol. 318(2), pages 355-368.
- Kjell Hausken & Jonathan W. Welburn & Jun Zhuang, 2024. "A Review of Attacker–Defender Games and Cyber Security," Games, MDPI, vol. 15(4), pages 1-27, August.
- Zhang, Jing & Zhuang, Jun, 2019. "Modeling a multi-target attacker-defender game with multiple attack types," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 465-475.
- Han, Lin & Zhao, Xudong & Chen, Zhilong & Wu, Yipeng & Su, Xiaochao & Zhang, Ning, 2021. "Optimal allocation of defensive resources to defend urban power networks against different types of attackers," International Journal of Critical Infrastructure Protection, Elsevier, vol. 35(C).
- Vicki Bier, 2020. "The Role of Decision Analysis in Risk Analysis: A Retrospective," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2207-2217, November.
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