Buch, Englisch, 269 Seiten, Format (B × H): 156 mm x 234 mm
Buch, Englisch, 269 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-041-17167-6
Verlag: CRC Press
This book provides an in-depth exploration of the dynamic intersection between machine learning (ML) and cybersecurity, offering a detailed analysis of how these technologies are reshaping the security landscape. It tracks the significant progress of machine learning in the context of cybersecurity, providing insights into the latest advancements, emerging trends, and the challenges ahead. Crafted with a discerning audience in mind, this book could be a valuable resource for academic researchers, industry practitioners, and students alike. It is particularly suitable for those with an interest in understanding the transformative role machine learning plays in modern cybersecurity.
Zielgruppe
Professional Practice & Development, Professional Reference, and Professional Training
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Schadprogramme (Viren, Trojaner etc.)
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
Weitere Infos & Material
1. An overview of the machine learning role in cybersecurity transformation. 2. Machine learning (ML). 3. Understanding data, datasets, and training for ML. 4. Building training and testing datasets. 5. Data analytics. 6. Deep learning and neural networks. 7. Modern cybersecurity tools. 8. Machine learning in cybersecurity. 9. ML-powered top platforms.




