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.
Almalawi, Abdulmohsen, author.; Tari, Zahir, author.; Fahad, Adil, author.; Yi, Xun, author.; ProQuest (Firm)
2021
TJ222 .A46 2021
Available Online

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Title 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.
Author Almalawi, Abdulmohsen, author.
Edition First edition.
ISBN 9781119606383 (electronic book)
1119606381 (electronic book)
9781119606352 (electronic book)
1119606357 (electronic book)
9781119606079 (electronic book)
1119606071 (electronic book)
9781119606031
Published Hoboken, NJ, USA : Wiley, 2021.
Copyright ©2021
Language English
Description 1 online resource (xvi, 196 pages) : illustrations.
Call Number TJ222 .A46 2021
Dewey Decimal Classification 629.8/95583
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users
Reproduction Electronic reproduction. Ann Arbor, MI Available via World Wide Web.
Source of Description Description based on online resource; title from digital title page (viewed on July 28, 2021).
Added Author Tari, Zahir, author.
Fahad, Adil, author.
Yi, Xun, author.
Added Corporate Author ProQuest (Firm)
Series Wiley series on parallel and distributed computing.
Available in Other Form SCADA security.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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.

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