Towards a comprehensive framework for cyber-incident response decision support in smart grids

IET conference proceedings., vol. 2024, pp. 573–578

Abstract

The modernization of power grid infrastructures necessitates the incorporation of decision support systems to effectively mitigate cybersecurity threats. This paper presents a comprehensive framework based on integrating Attack-Defense Trees and the Multi-Criteria Decision Making method to enhance smart grid cybersecurity. By analyzing risk attributes and optimizing defense strategies, this framework enables grid operators to prioritize critical security measures. Additionally, this pap er incorporates findings on decision-making processes in intelligent power systems to present a comprehensive approach to grid cybersecurity. The proposed model aims to optimize the effectiveness and efficiency of grid cybersecurity efforts while offering insights into future grid management challenges.

Authors 5

1. Ömer Sen Aachen

   Fraunhofer Institute for Applied Information Technology · RWTH Aachen University

   Affiliation as printed

   Digital Energy at Fraunhofer FIT, Aachen, Germany

   IAEW at RWTH Aachen University, Aachen, Germany

2. Yanico Aust Aachen

   RWTH Aachen University

   Affiliation as printed

   IAEW at RWTH Aachen University, Aachen, Germany

3. Martin Neumüller Aachen

   RWTH Aachen University

   Affiliation as printed

   IAEW at RWTH Aachen University, Aachen, Germany

4. Immanuel Hacker Aachen

   Fraunhofer Institute for Applied Information Technology · RWTH Aachen University

   Affiliation as printed

   Digital Energy at Fraunhofer FIT, Aachen, Germany

   IAEW at RWTH Aachen University, Aachen, Germany

5. Andreas Ulbig Aachen

   Fraunhofer Institute for Applied Information Technology · RWTH Aachen University

   Affiliation as printed

   Digital Energy at Fraunhofer FIT, Aachen, Germany

   IAEW at RWTH Aachen University, Aachen, Germany