Advanced Machine Learning for Cyber-Attack Detection in IoT Networks
Book Details
Format
Paperback / Softback
ISBN-10
0443290326
ISBN-13
9780443290329
Publisher
Elsevier Science Publishing Co Inc
Imprint
Academic Press Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 28th, 2025
Print length
424 Pages
Weight
450 grams
Product Classification:
Coding theory & cryptologyData encryptionArtificial intelligence
Ksh 27,900.00
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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.
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