A review of attacker-defender games: Current state and paths forward

K Hunt, J Zhuang - European Journal of Operational Research, 2024 - Elsevier
In this article, we review the literature which proposes attacker-defender games to protect
against strategic adversarial threats. More specifically, we follow the systematic literature …

Game Theory in defence applications: A review

E Ho, A Rajagopalan, A Skvortsov, S Arulampalam… - Sensors, 2022 - mdpi.com
This paper presents a succinct review of attempts in the literature to use game theory to
model decision-making scenarios relevant to defence applications. Game theory has been …

Building up cyber resilience by better grasping cyber risk via a new algorithm for modelling heavy-tailed data

M Dacorogna, N Debbabi, M Kratz - European Journal of Operational …, 2023 - Elsevier
Cyber security and resilience are major challenges in our modern economies; this is why
they are top priorities on the agenda of governments, security and defense forces …

Constrained optimization for stratified treatment rules in reducing hospital readmission rates of diabetic patients

H Yu, CC Yang, P Yu - European Journal of Operational Research, 2023 - Elsevier
Diabetic patients can receive multiple/different treatments. However, there is no universal
solution for all patients, ie, one prescription can treat some patients, but it may not be …

The weapon target assignment problem: Rational inference of adversary target utility valuations from observed solutions

MS Hughes, BJ Lunday - Omega, 2022 - Elsevier
Identifying an adversary's strategic goals and values requires deliberate and unbiased
analysis. This research is motivated by the premise that, if one observes an adversary's …

A comprehensive survey of weapon target assignment problem: Model, algorithm, and application

J Li, G Wu, L Wang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper provides an overview of the weapon target assignment problem, which aims to
optimize the assignment of weapons to targets in order to maximize weapon damage to …

Don't Predict Counterfactual Values, Predict Expected Values Instead

J Wołosiuk, M Świechowski, J Mańdziuk - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Abstract Counterfactual Regret Minimization algorithms are the most popular way of
estimating the Nash Equilibrium in imperfect-information zero-sum games. In particular …

[HTML][HTML] A sequentially variant Blotto game with one-sided and incomplete information

GJ Kim, J Kim - Decision Analytics Journal, 2024 - Elsevier
We develop a sequentially variant Blotto game with one-sided and incomplete information to
investigate strategic interactions between a defender and an attacker whose target site …

Determination of ransomware payment based on Bayesian game models

R Fang, M Xu, P Zhao - Computers & Security, 2022 - Elsevier
Ransomware has emerged as one of the most concerned cyber risks in recent years, which
has caused millions of dollars monetary loss over the world. It typically demands a certain …

Knowledge-guided Evolutionary Optimization for Large-Scale Air Defense Resource Allocation

W Li, R Wang, Y Heng, T Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the high-stakes domain of air defense, resource allocation is a challenging optimization
problem that involves many constraints and requires fast solutions. Previous work mainly …