A fault injection platform for learning AIOps models
Frank Bagehorn, Jesus Rios, et al.
iWOAR 2022
Adversarial risk analysis (ARA) provides a framework to deal with risks originating from intentional actions of adversaries. We show how ARA may be used to allocate security resources in the protection of urban spaces. We take into account the spatial structure and consider both proactive and reactive measures, in that we aim at both trying to reduce criminality as well as recovering as best as possible from it, should it happen. We deal with the problem by deploying an ARA model over each spatial unit, coordinating the models through resource constraints, value aggregation, and proximity. We illustrate our approach with an example that uncovers several relevant policy issues.
Frank Bagehorn, Jesus Rios, et al.
iWOAR 2022
Juan Carlos Sevillano, David Rios Insua, et al.
Decision Analysis
David Rios Insua, David Banks, et al.
Risk Analysis
Giorgio de Paola, Cristina Ibanez-Llano, et al.
ATCE 2020