arXiv · 2506.02603
Computational adversarial risk analysis for general security games
Abstract
This paper provides an efficient computational scheme to handle general security games from an adversarial risk analysis perspective. Two cases in relation to single-stage and multi-stage simultaneous defend-attack games motivate our approach to general setups which uses bi-agent influence diagrams as underlying problem structure and augmented probability simulation as core computational methodology. Theoretical convergence and numerical, modeling, and implementation issues are thoroughly discussed. A disinformation war case study illustrates the relevance of the proposed approach.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Jose Manuel Camacho, Roi Naveiro, David Rios Insua. 2025-06-03. Computational adversarial risk analysis for general security games. https://arxiv.org/abs/2506.02603
Cite the original work for its findings. Save a collection to share your selection of sources.