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      This edition first published 2021

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      The right of Abdulmohsen Almalawi, Zahir Tari, Adil Fahad, Xun Yi to be identified as the authors of this work has been asserted in accordance with law.

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      Library of Congress Cataloging-in-Publication Data:

      Names: Almalawi, Abdulmohsen, author. | Tari, Zahir, author. | Fahad, Adil, author. | Yi, Xun, author.

      Title: SCADA security : machine learning concepts for intrusion detection and prevention / Abdulmohsen Almalawi, King Abdulaziz University, Zahir Tari, RMIT University, Adil Fahad, Al Baha University, Xun Yi, Royal Melbourne Institute of Technology.

      Description: Hoboken, NJ, USA : Wiley, 2021. | Series: Wiley series on parallel and distributed computing | Includes bibliographical references and index.

      Identifiers: LCCN 2020027876 (print) | LCCN 2020027877 (ebook) | ISBN 9781119606031 (cloth) | ISBN 9781119606079 (adobe pdf) | ISBN 9781119606352 (epub)

      Subjects: LCSH: Supervisory control systems. | Automatic control–Security measures. | Intrusion detection systems (Computer security) | Machine learning.

      Classification: LCC TJ222 .A46 2021 (print) | LCC TJ222 (ebook) | DDC 629.8/95583–dc23

      LC record available at https://lccn.loc.gov/2020027876 LC ebook record available at https://lccn.loc.gov/2020027877

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