A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid

arXiv:2403.06388v1 Announce Type: cross
Abstract: Understanding the potential of generative AI (GenAI)-based attacks on the power grid is a fundamental challenge that must be addressed in order to protect the power grid by realizing and validating risk in new attack vectors. In this paper, a novel zero trust framework for a power grid supply chain (PGSC) is proposed. This framework facilitates early detection of potential GenAI-driven attack vectors (e.g., replay and protocol-type attacks), assessment of tail risk-based stability measures, and …

abstract arxiv attacks challenge cs.cr cs.lg defense framework genai generative grid paper power protect risk trust type understanding vectors zero trust