SCADA security : machine learning concepts for intrusion detection and prevention : SCADA-based IDs security / Abdulmohsen Almalawi, King Abdulaziz University, Zahir Tari, RMIT University, Adil Fahad, Al Baha University, Xun Yi, RMIT University.

"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...

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Bibliographic Details
Online Access:	Full Text (via Skillsoft)
Main Authors:	Almalawi, Abdulmohsen (Author), Tari, Zahir, 1961- (Author), Fahad, Adil (Author), Yi, Xun (Author)
Format:	Electronic eBook
Language:	English
Published:	Hoboken, NJ, USA : Wiley, 2021.
Edition:	First edition.
Series:	Wiley series on parallel and distributed computing.
Subjects:	Supervisory control systems. Automatic control > Security measures. Intrusion detection systems (Computer security) Machine learning. Machine learning Supervisory control systems

Table of Contents:

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.

SCADA security : machine learning concepts for intrusion detection and prevention : SCADA-based IDs security / Abdulmohsen Almalawi, King Abdulaziz University, Zahir Tari, RMIT University, Adil Fahad, Al Baha University, Xun Yi, RMIT University.

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