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SCADA Security - 9781119606031

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
SCADA Security
ISBN
9781119606031
Publication Name
Scada Security: Machine Learning Concepts for Intrusion Detection and Prevention
Publisher
John Wiley & Sons AND Sons LTD
Subject
Engineering & Technology, Computer Science
Publication Year
2021
Series
Wiley Series on Parallel and Distributed Computing
Type
Textbook
Format
Hardcover
Language
English
Item Height
234 mm
Author
Abdulmohsen Almalawi, Zahir Tari, Xun Yi, Adil Fahad
Item Weight
468 g
Item Width
158 mm
Number of Pages
224 Pages

About this product

Product Information

Examines the design and use of Intrusion Detection Systems (IDS) to secure Supervisory Control and Data Acquisition (SCADA) systems Cyber-attacks on SCADA systems the control system architecture that uses computers, networked data communications, and graphical user interfaces for high-level process supervisory management can lead to costly financial consequences or even result in loss of life. Minimizing potential risks and responding to malicious actions requires innovative approaches for monitoring SCADA systems and protecting them from targeted attacks. SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is designed to help security and networking professionals develop and deploy accurate and effective Intrusion Detection Systems (IDS) for SCADA systems that leverage autonomous machine learning. Providing expert insights, practical advice, and up-to-date coverage of developments in SCADA security, this authoritative guide presents a new approach for efficient unsupervised IDS driven by SCADA-specific data. Organized into eight in-depth chapters, the text first discusses how traditional IT attacks can also be possible against SCADA, and describes essential SCADA concepts, systems, architectures, and main components. Following chapters introduce various SCADA security frameworks and approaches, including evaluating security with virtualization-based SCADAVT, using SDAD to extract proximity-based detection, finding a global and efficient anomaly threshold with GATUD, and more. This important book: Provides diverse perspectives on establishing an efficient IDS approach that can be implemented in SCADA systems Describes the relationship between main components and three generations of SCADA systems Explains the classification of a SCADA IDS based on its architecture and implementation Surveys the current literature in the field and suggests possible directions for future research SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is a must-read for all SCADA security and networking researchers, engineers, system architects, developers, managers, lecturers, and other SCADA security industry practitioners.

Product Identifiers

Publisher
John Wiley & Sons AND Sons LTD
ISBN-13
9781119606031
eBay Product ID (ePID)
8046514163

Product Key Features

Number of Pages
224 Pages
Publication Name
Scada Security: Machine Learning Concepts for Intrusion Detection and Prevention
Language
English
Subject
Engineering & Technology, Computer Science
Publication Year
2021
Type
Textbook
Author
Abdulmohsen Almalawi, Zahir Tari, Xun Yi, Adil Fahad
Series
Wiley Series on Parallel and Distributed Computing
Format
Hardcover

Dimensions

Item Height
234 mm
Item Weight
468 g
Item Width
158 mm

Additional Product Features

Country/Region of Manufacture
United States
Title_Author
Zahir Tari, Xun Yi, Adil Fahad, Abdulmohsen Almalawi

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BOOKS etc.

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