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Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation. (arXiv:2207.12355v2 [cs.CR] UPDATED)
Aug. 8, 2022, 1:11 a.m. | Alex Andrew, Sam Spillard, Joshua Collyer, Neil Dhir
stat.ML updates on arXiv.org arxiv.org
In this paper we explore cyber security defence, through the unification of a
novel cyber security simulator with models for (causal) decision-making through
optimisation. Particular attention is paid to a recently published approach:
dynamic causal Bayesian optimisation (DCBO). We propose that DCBO can act as a
blue agent when provided with a view of a simulated network and a causal model
of how a red agent spreads within that network. To investigate how DCBO can
perform optimal interventions on host …
agents arxiv cyber cyber security defence security simulation
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