Kniha Machine Learning for Cybersecurity Marwan Omar

Machine Learning for Cybersecurity

Innovative Deep Learning Solutions

Autor: Marwan Omar
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 260
This SpringerBrief presents the underlying principles of machine learning and how to deploy various...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2022
Stránek
48
EAN
9783031158926
Enbook ID
39511298
Vydavatel
Hmotnost
102
Rozměry
155 x 235 x 4

Kompletní popis

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.

Mohlo by vás zajímat

1 143

Deep Learning for Computer Vision

Rajalingappaa Shanmugamani
1 003
511

Battle of Okinawa

George Feifer
596
2 096
1 230

Mazes For Kids Ages 6-12

Press ActivityLeaf Press
171
937

Zákaznicí kteří koupili tuto knihu koupili také

Proč? Jak? Koně

Hana Jovanovičová
112

12 principow akademicheskogo prewoshodstwa

Эфезино Саймон Абель
710

N N 7S McKinsey

Anastasia Samygin-Cherkaoui
269
403
690

Kleine Sara "N'Gon Sar

Georges Diguimbaye
494
367
802
1 391

Maniac Cop

William Lustig
493