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Machine Learning for Cybersecurity

- Innovative Deep Learning Solutions
Af: Marwan Omar Engelsk Paperback

Machine Learning for Cybersecurity

- Innovative Deep Learning Solutions
Af: Marwan Omar Engelsk Paperback
Tjek vores konkurrenters priser
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 effective

Advanced-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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Tjek vores konkurrenters priser
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 effective

Advanced-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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Produktdetaljer
Sprog: Engelsk
Sider: 48
ISBN-13: 9783031158926
Indbinding: Paperback
Udgave:
ISBN-10: 303115892X
Kategori: Machine learning
Udg. Dato: 25 sep 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer International Publishing AG
Oplagsdato: 25 sep 2022
Forfatter(e): Marwan Omar
Forfatter(e) Marwan Omar

Kategori Machine learning

ISBN-13 9783031158926

Sprog Engelsk

Indbinding Paperback

Sider 48

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 25 sep 2022

Oplagsdato 25 sep 2022

Forlag Springer International Publishing AG