Machine Learning for Cybersecurity: Threat Detection and Mitigation - Rilegato

 
9783725827947: Machine Learning for Cybersecurity: Threat Detection and Mitigation
Rilegato
ISBN 10: 372582794X ISBN 13: 9783725827947
Casa editrice: MDPI AG, 2024

Sinossi

"Machine Learning for Cybersecurity: Threat Detection and Mitigation" delves into the transformative role of machine learning in addressing contemporary cybersecurity challenges. This reprint provides an in-depth exploration of how advanced techniques such as deep learning, natural language processing, and explainable AI are revolutionizing intrusion detection, anomaly detection, and threat intelligence. With a focus on practical applications, it covers critical topics such as malware analysis, IoT and cloud security, blockchain security, adversarial attacks, and secure data sharing. Through this reprint, readers will gain insights into cutting-edge approaches for vulnerability assessments, authentication, and privacy preservation while exploring frameworks for implementing security-aware AI systems.

This comprehensive resource is essential for researchers, practitioners, and policymakers striving to strengthen digital ecosystems. It offers both theoretical insights and actionable solutions, paving the way for innovative cybersecurity strategies to combat an ever-evolving threat landscape.

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Editore
MDPI AG
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
372582794X
ISBN 13 
9783725827947
Rilegatura
Copertina rigida
Numero di pagine
318
Redattore
Elhanashi Abdussalam, Dini Pierpaolo
Contatto del produttore
non disponibile
Persona responsabile
non disponibile