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ISBN 10: 303115892X ISBN 13: 9783031158926
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Add to basketPaperback. Condition: New. 1st ed. 2022. 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 routine tasks 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 application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.
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Published by Information Science Reference (edition 1), 2015
ISBN 10: 1466683457 ISBN 13: 9781466683457
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Published by Springer-Nature New York Inc, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
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ISBN 10: 6209062202 ISBN 13: 9786209062209
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Published by Springer International Publishing, Springer Nature Switzerland Sep 2022, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
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Taschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 56 pp. Englisch.
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Published by Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
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Taschenbuch. Condition: 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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Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659688673 ISBN 13: 9783659688676
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Taschenbuch. Condition: Neu. Smartphone Security | Marwan Omar | Taschenbuch | 140 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659688676 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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ISBN 10: 3031116259 ISBN 13: 9783031116254
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Published by Springer International Publishing AG, CH, 2022
ISBN 10: 303115892X ISBN 13: 9783031158926
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Add to basketPaperback. Condition: New. 1st ed. 2022. 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 routine tasks 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 application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.
Language: French
Published by Editions Notre Savoir, 2025
ISBN 10: 6209062202 ISBN 13: 9786209062209
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