hardcover. Condition: Very Good. Deep Learning Applications for Cyber Security (Advanced Sciences and Technologies for Security Applications) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Language: English
Published by Springer Nature Switzerland AG, Cham, 2019
ISBN 10: 3030130568 ISBN 13: 9783030130565
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New. pp. XX, 246 78 illus., 54 illus. in color. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Language: English
Published by Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
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Taschenbuch. Condition: Neu. Deep Learning Applications for Cyber Security | Mamoun Alazab (u. a.) | Taschenbuch | xx | Englisch | 2020 | Springer | EAN 9783030130596 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Springer International Publishing, Springer International Publishing Aug 2020, 2020
ISBN 10: 3030130592 ISBN 13: 9783030130596
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch.
Language: English
Published by Springer-Verlag Gmbh Okt 2019, 2019
ISBN 10: 3030130568 ISBN 13: 9783030130565
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. Neuware -Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 246 pp. Englisch.
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030130592 ISBN 13: 9783030130596
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.
Language: English
Published by Springer-Verlag Gmbh, 2019
ISBN 10: 3030130568 ISBN 13: 9783030130565
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.
Language: English
Published by Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 246 pages. 8.50x6.25x0.75 inches. In Stock.
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Published by Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
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Language: English
Published by Engineering Science Reference, 2021
ISBN 10: 179988161X ISBN 13: 9781799881612
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Language: English
Published by Information Science Reference, 2019
ISBN 10: 1522596119 ISBN 13: 9781522596110
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Language: English
Published by Springer International Publishing Aug 2020, 2020
ISBN 10: 3030130592 ISBN 13: 9783030130596
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points. 268 pp. Englisch.
Language: English
Published by Springer-Verlag Gmbh Aug 2019, 2019
ISBN 10: 3030130568 ISBN 13: 9783030130565
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points. 246 pp. Englisch.
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030130592 ISBN 13: 9783030130596
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bridges two popular areas (Deep Learning and Cyber Security) with self-contained materialFully self-contained with ample practical examplesProvides wide coverage of popular Deep Learning tools and frameworks enabling the readers .
Language: English
Published by Springer International Publishing, 2019
ISBN 10: 3030130568 ISBN 13: 9783030130565
Seller: moluna, Greven, Germany
US$ 166.28
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bridges two popular areas (Deep Learning and Cyber Security) with self-contained materialFully self-contained with ample practical examplesProvides wide coverage of popular Deep Learning tools and frameworks enabling the readers .
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.