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Cyber-Security for Smart Grid Control : Vulnerability Assessment, Attack Detection, and Mitigation / by Amulya Sreejith, K. Shanti Swarup

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Transactions on Computer Systems and NetworksPublisher: Singapore : Springer Nature Singapore, 2024Publisher: Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: 1 Online-Ressource(XVI, 147 p. 58 illus., 42 illus. in color.)ISBN:
  • 9789819713028
Subject(s): Additional physical formats: 9789819713011 | 9789819713035 | 9789819713042 | Erscheint auch als: 9789819713011 Druck-Ausgabe | Erscheint auch als: 9789819713035 Druck-Ausgabe | Erscheint auch als: 9789819713042 Druck-AusgabeDOI: DOI: 10.1007/978-981-97-1302-8Online resources: Summary: Smart Grid Cyber Physical System: An overview -- Smart Grid Control -- Attack Modelling for Smart Grid Control -- Vulnerability Assessment for Multi-Area Load Frequency Control -- MITRE ATT&CK for Smart Grid Cyber-Security -- Signal Processing based Attack Detection -- Machine Learning Based Attack Detection -- Attack Mitigation and Recovery in Smart Grid Control.Summary: 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 programs are included so students can compare their results and improve upon the discussed methods. The book will be useful to a wide variety of audiences such as students and researchers in Smart Grids, power system operators, and device manufacturers.PPN: PPN: 1890575429Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS
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