Editore: Information Science Reference, 2019
ISBN 10: 1522596119 ISBN 13: 9781522596110
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 335,40
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Aggiungi al carrelloCondizione: New. In.
Editore: Information Science Reference, 2019
ISBN 10: 1522596119 ISBN 13: 9781522596110
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 355,20
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Aggiungi al carrelloGebunden. Condizione: New. Provides vital research on the application of machine learning techniques for network security research. Highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the a.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 337,51
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 352,55
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Information Science Reference, 2019
ISBN 10: 1522596119 ISBN 13: 9781522596110
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 435,48
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the advancement of technology continues, cyber security continues to play a significant role in today's world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.