Téléchargez le livre : Advanced Machine Learning for Cyber-Attack Detection in IoT Networks

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks



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Academic Press


Paru le : 2025-05-12



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Description
Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their applications in detecting and preventing cyberattacks in future IoT systems. Chapters investigate the key challenges and vulnerabilities found in IoT security, how to handle challenges in data collection and pre-processing specific to IoT environments, as well as what metrics to consider for evaluating the performance of machine learning models. Other sections look at the training, validation, and evaluation of supervised learning models and present case studies and examples that demonstrate the application of supervised learning in IoT security. - Presents a comprehensive overview of research on IoT security threats and potential attacks - Investigates machine learning techniques, their mathematical foundations, and their application in cybersecurity - Presents metrics for evaluating the performance of machine learning models as well as benchmark datasets and evaluation frameworks for assessing IoT systems
Pages
300 pages
Collection
n.c
Parution
2025-05-12
Marque
Academic Press
EAN papier
9780443290329
EAN EPUB SANS DRM
9780443290336
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
187,78 €

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