Subjective Bayesian Network-based Interdependent Mission Impact Assessment with Game-Theoretic Attack-Defense Interactions

• DOI: 10.36227/techrxiv.24566917
• Publication Date: 2023-11-22T15:28:02Z
• Authors: Han Jun Yoon; Ashrith Reddy Thu...; Shou Matsumoto; Jair Feldens Ferrari; Dongwhan Lee; Myung Kil Ahn; Paulo Costa; Jin-Hee Cho
• Keywords: Baseline (sea)

<p>An accurate assessment of a mission system's performance, called Mission Impact Assessment (MIA), can effectively identify and counteract any issues in the current system to avoid potential risks or vulnerabilities that may cause failure. Although importance MIA research has been recognized mitigate risk for more than decade, little shown comprehensive framework with experimental validation showing inference performance tools under realistic attack-defense interactions. To fill this gap, we propose an interdependent impact iMIA, adequately capture inter-relationships key components environment accurately infer outcome (i.e., success failure) uncertainty. In proposed first consider Subjective Bayesian Networks evaluate how successfully given introduces impacts on uncertainty due lack evidence. addition, strategic interactions based hypergame theory which attacker defender take actions their perceived Our extensive experiments showed outperformance our up 70% 25% over baseline state-of-the-art Network-based counterparts, respectively, terms accuracy (e.g., outcomes, such as failure). We also provide in-depth sensitivity analyses should be considered carefully failure.</p>