MOBAL learns a model of an ongoing cyberattack with Bayesian updates and computes incident responses with a quantized version of that model, giving robustness to model misspecification on CAGE-2.
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Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization
MOBAL learns a model of an ongoing cyberattack with Bayesian updates and computes incident responses with a quantized version of that model, giving robustness to model misspecification on CAGE-2.