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Advanced Machine Learning for Cyber-Attack Detection in IoT Networks

Language EnglishEnglish
Book Paperback
Book Advanced Machine Learning for Cyber-Attack Detection in IoT Networks Dinh Thai Hoang
Libristo code: 46233267
Publishers Elsevier Science, March 2025
Advanced Machine Learning for Cyber-Attack Detection in IoT Networks offers a comprehensive overview... Full description
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220.98 €
432.19  лв
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Advanced Machine Learning for Cyber-Attack Detection in IoT Networks offers a comprehensive overview of cybersecurity threats in future IoT systems. The book analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, and their applications in detecting and preventing cyber-attacks in future IoT systems. Chapters will 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. Chapters will look at the training, validation, and evaluation of supervised learning models and present case studies and examples demonstrating the application of supervised learning in IoT security. The target audience for this book includes, but is not limited to, graduate students, researchers, and practicing engineers.

  • 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

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About the book

Full name Advanced Machine Learning for Cyber-Attack Detection in IoT Networks
Language English
Binding Book - Paperback
Date of issue 2025
Number of pages 300
EAN 9780443290329
ISBN 0443290326
Libristo code 46233267
Publishers Elsevier Science
Weight 815
Dimensions 191 x 235
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