Addressing AI Risks in Critical Infrastructure: Formalising the AI Incident Reporting Process
A Agarwal, MJ Nene - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Integrating Artificial Intelligence (AI) into critical infrastructure sectors such as the power grid,
energy systems, and telecommunications has revolutionised decision-making processes …
energy systems, and telecommunications has revolutionised decision-making processes …
Large Language Models (LLM) for Estimating the Cost of Cyber-attacks
With the expansion of digital services and intelligent agents, cyber-attacks are increasingly
frequent and impactful. Estimating the financial consequences of these attacks has become …
frequent and impactful. Estimating the financial consequences of these attacks has become …
Markov chain and RATGOS-driven fuzzy decision-making for prioritizing cybersecurity measures in microgrid systems
Necessary precautions must be taken to increase cybersecurity to improve the performance
of microgrid systems. However, because these actions create costs, it is not possible to …
of microgrid systems. However, because these actions create costs, it is not possible to …
Telling Apart: ML Framework Towards Cyber Attack and Fault Differentiation in Microgrids
Microgrids have revolutionized the field of power systems as they provide higher reliability
and power quality over traditional power systems by possessing the ability to self-supply …
and power quality over traditional power systems by possessing the ability to self-supply …
Enhancing Resilience: Smart Grid Cybersecurity and Fault Diagnosis Strategies
A Basharat, Z Huma - Asian Journal of Research in …, 2024 - geographical.go2journals.com
The increasing integration of advanced technologies within the power grid infrastructure has
led to significant advancements in efficiency, reliability, and sustainability. However, this …
led to significant advancements in efficiency, reliability, and sustainability. However, this …
Data-Driven Graph Switching for Cyber-Resilient Control in Microgrids
Distributed microgrids are conventionally dependent on communication networks to achieve
secondary control objectives. This dependence makes them vulnerable to stealth data …
secondary control objectives. This dependence makes them vulnerable to stealth data …