Da: Buchpark, Trebbin, Germania
EUR 53,63
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2019
ISBN 10: 3030130568 ISBN 13: 9783030130565
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: 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.
Da: preigu, Osnabrück, Germania
EUR 140,00
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Deep Learning Applications for Cyber Security | Mamoun Alazab (u. a.) | Taschenbuch | Advanced Sciences and Technologies for Security Applications | 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.
Condizione: New. pp. 246.
Condizione: New. pp. XX, 246 78 illus., 54 illus. in color. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030130592 ISBN 13: 9783030130596
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germania
EUR 189,90
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: gut. 2019. Deep Learning Applications for Cyber Security In deutscher Sprache. pages.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 168,73
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 234,82
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 246 pages. 8.50x6.25x0.75 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 228,58
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 228,58
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,26
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,26
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Aug 2020, 2020
ISBN 10: 3030130592 ISBN 13: 9783030130596
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Springer-Verlag Gmbh Aug 2019, 2019
ISBN 10: 3030130568 ISBN 13: 9783030130565
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030130592 ISBN 13: 9783030130596
Da: moluna, Greven, Germania
EUR 136,16
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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 .
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3030130568 ISBN 13: 9783030130565
Da: moluna, Greven, Germania
EUR 136,16
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: 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 .
Lingua: Inglese
Editore: Springer, Springer Aug 2020, 2020
ISBN 10: 3030130592 ISBN 13: 9783030130596
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 160,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Okt 2019, 2019
ISBN 10: 3030130568 ISBN 13: 9783030130565
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 160,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 246 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 225,29
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 246.
Da: Majestic Books, Hounslow, Regno Unito
EUR 225,77
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. XX, 246 78 illus., 54 illus. in color.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 227,07
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. XX, 246 78 illus., 54 illus. in color.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 226,50
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 246.