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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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书目名称Cyber-Security for Smart Grid Control
副标题Vulnerability Assess
编辑Amulya Sreejith,K. Shanti Swarup
视频video
概述Discusses smart grid cyber-physical system.Includes case studies based on standard test systems.Cover the standards and guidelines, detailed vulnerability assessment framework, and attack detection st
丛书名称Transactions on Computer Systems and Networks
图书封面Titlebook: Cyber-Security for Smart Grid Control; Vulnerability Assess Amulya Sreejith,K. Shanti Swarup Book 2024 The Editor(s) (if applicable) and Th
描述.The book focuses on a very important area of Smart Grids - cyber security. It deals in particular with the tools and techniques for cyber security analysis of the Smart Grid control systems. This includes the standards and guidelines, detailed vulnerability assessment framework, attack detection strategies, and attack mitigation methods. The book is divided into three parts. The smart grid cyber-physical system is discussed in the first part. The second part introduces the attacks in the grid system and a vulnerability assessment framework followed by a tool that can be used to analyze the grid control systems using existing cyber security standards. In the third part, different forms of attack detection methods are discussed along with Python-based implementations for the same. The book also discusses attack mitigation methods with implementation. Detailed illustrations and tables are provided in each section. The book also includes case studies based on standard test systems thushelping students to implement the discussed methods. The case studies are based on MATLAB and Python implementations thus catering to a wide range of audiences. Outputs and screenshots of the tools and p
出版日期Book 2024
关键词Smart Grids; Cyber-Physical Power System; Cyber Security; Machine Learning; Defense-in-depth; Smart Grid
版次1
doihttps://doi.org/10.1007/978-981-97-1302-8
isbn_softcover978-981-97-1304-2
isbn_ebook978-981-97-1302-8Series ISSN 2730-7484 Series E-ISSN 2730-7492
issn_series 2730-7484
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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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
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