Carte Machine Learning for Cybersecurity Marwan Omar

Machine Learning for Cybersecurity

Innovative Deep Learning Solutions

Autor: Marwan Omar
Limbă: engleză
Legare: Carte broșată
Editura: Springer, Berlin
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
305.29 lei
This SpringerBrief presents the underlying principles of machine learning and how to deploy various...

Informații despre carte

Autor
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2022
Pagini
48
EAN
9783031158926
Enbook ID
39511298
Greutate
102
Dimensiuni
155 x 235 x 4

Descriere completă

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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