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Librería: Chiron Media, Wallingford, Reino Unido
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 82,76
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Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Springer-Nature New York Inc, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
Librería: Revaluation Books, Exeter, Reino Unido
EUR 81,59
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Añadir al carritoPaperback. Condición: Brand New. 56 pages. 9.25x6.10x0.12 inches. In Stock.
Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 58,84
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.By implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior.The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routinetasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effectiveAdvanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the applicationof machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 400 pages. 9.25x6.10x9.49 inches. In Stock.
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2025
ISBN 10: 303183156X ISBN 13: 9783031831560
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 175,31
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Añadir al carritoHardcover. Condición: new. Hardcover. This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required.This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity. This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2025
ISBN 10: 303183156X ISBN 13: 9783031831560
Librería: CitiRetail, Stevenage, Reino Unido
EUR 155,02
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Añadir al carritoHardcover. Condición: new. Hardcover. This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required.This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity. This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 213,82
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 235,65
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Añadir al carritoPaperback. Condición: New.
EUR 171,19
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required.This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 260,77
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 249,89
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 280,58
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 277,36
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Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2025
ISBN 10: 303183156X ISBN 13: 9783031831560
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 262,45
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Añadir al carritoHardcover. Condición: new. Hardcover. This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required.This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity. This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Business Science Reference, 2022
ISBN 10: 1799894312 ISBN 13: 9781799894315
Librería: Rarewaves.com UK, London, Reino Unido
EUR 222,14
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 302,68
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