Téléchargez le livre : Machine Learning for Cyber Physical System: Advances and Challenges

Machine Learning for Cyber Physical System: Advances and Challenges



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Springer


Paru le : 2024-04-11



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Description

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity. 
Pages
406 pages
Collection
n.c
Parution
2024-04-11
Marque
Springer
EAN papier
9783031540370
EAN PDF
9783031540387
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
13251 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
179,34 €
EAN EPUB
9783031540387
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
52623 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
179,34 €

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