Graph-based Impact Analysis of Cyber-Attacks on Behind-the-Meter Infrastructure

TL;DR

This paper introduces a graph model to analyze the impact of cyber-attacks on behind-the-meter energy infrastructure, highlighting interdependencies and potential system-wide effects.

Contribution

It presents a novel graph-based approach to model cyber-physical interdependencies for impact analysis of cyber-attacks on energy systems.

Findings

Cyber-attacks can significantly affect power system stability.

Interdependencies increase vulnerability to cyber-attacks.

Graph model effectively identifies critical attack vectors.

Abstract

Behind-the-Meter assets are getting more interconnected to realise new applications like flexible tariffs. Cyber-attacks on the resulting control infrastructure may impact a large number of devices, which can result in severe impact on the power system. To analyse the possible impact of such attacks we developed a graph model of the cyber-physical energy system, representing interdependencies between the control infrastructure and the power system. This model is than used for an impact analysis of cyber-attacks with different attack vectors.