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In this paper we explore cyber security defence, through the unification of anovel cyber security simulator with models for (causal) decision-making throughoptimisation. Particular attention is paid to a recently published approach:dynamic causal Bayesian optimisation (DCBO). We propose that DCBO can act as ablue agent when provided with a view of a simulated network and a causal modelof how a red agent spreads within that network. To investigate how DCBO canperform optimal interventions on host nodes, in order to reduce the cost ofintrusions caused by the red agent. Through this we demonstrate a completecyber-simulation system, which we use to generate observational data for DCBOand provide numerical quantitative results which lay the foundations for futurework in this space.

Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation