Modeling unauthorized access to offshore platforms using a Bayesian network

Abstract

Platforms in the offshore wind energy industry are of particular importance for the uninterrupted functioning of the power grid due to their increasing relevance for the security of supply. Therefore, they require an increased level of protection. The paper presents an attempt for a probabilistic threat modeling and assessment based on a Functional Resonance Analysis Method (FRAM). The approach is tested for the attack scenario “unauthorized access to a high voltage direct current converter platform (HVDCC)”