Titlebook: Cyber-Security for Smart Grid Control; Vulnerability Assess Amulya Sreejith,K. Shanti Swarup Book 2024 The Editor(s) (if applicable) and Th

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978-981-97-1304-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Yasser M. Awaad M.D., M.Sc., FAAP, FAANs. The introduction of automation and control improves the grid stability and performance but also gives rise to various attack points. The power system is built to transmit data at a very fast rate and due to this speed requirement the security features such as encryption and key management are oft

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https://doi.org/10.1057/978-1-137-58947-7rious attack scenarios, and their potential impacts. It serves as a critical resource for researchers, practitioners, and policymakers seeking to enhance the resilience and security of smart grid systems. The chapter commences with an introduction, setting the stage for an in-depth exploration of th

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https://doi.org/10.1057/978-1-137-58947-7ntroduction, the chapter proceeds to delve into key methodologies and models designed to evaluate and enhance grid resilience. The chapter introduces the concept of Data Penetration Testing, shedding light on its importance in gauging the robustness of grid systems. It then addresses the Cascading O

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Vasanthan Sakthivel,Raghavendiran Boopathynd crowd-sourced nature and comprehensive cataloging of adversary tactics and techniques that are used to launch successful attacks. This chapter delves into the integration of the MITRE ATT&CK framework into the realm of power systems, with a particular focus on smart grids. In this chapter, we dis

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The Emergence of Absolutism in Russia,s. It commences with a comprehensive introduction and then delves into the pivotal role of machine learning in the context of smart grid attack detection. A focal point emerges in the form of Support Vector Data Description (SVDD) for online attack detection, elucidating its core components. Simulat