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SCADA security : machine learning concepts for intrusion detection and prevention : SCADA-based IDs security /
"This book provides insights into issues of SCADA security. Chapter 1 discusses how potential attacks against traditional IT can also be possible against SCADA systems. Chapter 2 gives background information on SCADA systems, their architectures, and main components. In Chapter 3, the authors d...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ, USA :
Wiley,
2021.
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| Edición: | First edition. |
| Colección: | Wiley series on parallel and distributed computing.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | "This book provides insights into issues of SCADA security. Chapter 1 discusses how potential attacks against traditional IT can also be possible against SCADA systems. Chapter 2 gives background information on SCADA systems, their architectures, and main components. In Chapter 3, the authors describe SCADAVT, a framework for a SCADA security testbed based on virtualization technology. Chapter 4 introduces an approach called kNNVWC to find the k-nearest neighbours in large and high dimensional data. Chapter 5 describes an approach called SDAD to extract proximity-based detection rules, from unlabelled SCADA data, based on a clustering-based technique. In Chapter 6, the authors explore an approach called GATUD which finds a global and efficient anomaly threshold. The book concludes with a summary of the contributions made by this book to the extant body of research, and suggests possible directions for future research"-- |
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| Descripción Física: | 1 online resource (xvi, 196 pages) : illustrations (chiefly color) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781119606383 1119606381 9781119606352 1119606357 9781119606079 1119606071 |