Introduction -- Background -- SCADA-Based Security Testbed -- Efficient k-Nearest Neighbour Approach Based on Various-Widths Clustering -- SCADA Data-Driven Anomaly Detection -- A Global Anomaly Threshold to Unsupervised Detection -- Threshold Password-Authenticated Secret Sharing Protocols -- Conclusion.

Includes bibliographical references and index.

"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"-- Provided by publisher.

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Wiley Frontlist Obook All English 2020