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Añadir al carritoTaschenbuch. Condición: Neu. Artificial Intelligence for Cybersecurity | Mark Stamp (u. a.) | Taschenbuch | Advances in Information Security | xvi | Englisch | 2023 | Springer | EAN 9783030970895 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity.This book also provides insight into the difficult 'how' and 'why' questions that arise in AI within the security domain. For example, this book includes chapters covering 'explainable AI', 'adversarial learning', 'resilient AI', and a wide variety of related topics. It's not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more.Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.
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Publicado por Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3030970892 ISBN 13: 9783030970895
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets .
Idioma: Inglés
Publicado por Springer, Springer Jul 2023, 2023
ISBN 10: 3030970892 ISBN 13: 9783030970895
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity.This book also provides insight into the difficult 'how' and 'why' questions that arise in AI within the security domain. For example, this book includes chapters covering 'explainable AI', 'adversarial learning', 'resilient AI', and a wide variety of related topics. It's not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more.Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book. 400 pp. Englisch.
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Publicado por Springer, Springer Jul 2023, 2023
ISBN 10: 3030970892 ISBN 13: 9783030970895
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity.This book also provides insight into the difficult 'how' and 'why' questions that arise in AI within the security domain. For example, this book includes chapters covering 'explainable AI', 'adversarial learning', 'resilient AI', and a wide variety of related topics. It¿s not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more.Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 400 pp. Englisch.
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