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Machine Learning for Cyber Physical System: Advances and Challenges

BuchGebunden
406 Seiten
Englisch
Springererschienen am12.04.20242024
This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues.mehr
Verfügbare Formate
BuchGebunden
EUR192,59
E-BookPDF1 - PDF WatermarkE-Book
EUR181,89

Produkt

KlappentextThis book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues.
Details
ISBN/GTIN978-3-031-54037-0
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2024
Erscheinungsdatum12.04.2024
Auflage2024
Seiten406 Seiten
SpracheEnglisch
Gewicht742 g
IllustrationenXVI, 406 p. 148 illus., 109 illus. in color.
Artikel-Nr.55854711

Inhalt/Kritik

Inhaltsverzeichnis
SMOTE Integrated Adaptive Boosting Framework for Network Intrusion Detection.- An In-depth Analysis of Cyber-Physical Systems:  Deep Machine Intelligence based Security Mitigations.- Unsupervised approaches in anomaly detection.- Profiling and Classification of IoT Devices for Smart Home Environments.- Application of Machine Learning to Improve Safety in the Wind Industry.- Malware Attack Detection in Vehicle Cyber Physical System for Planning and Control using Deep Learning.- Unraveling what is at stake in the intelligence of autonomous cars.- Intelligent Under-Sampling based Ensemble Techniques for Cyber-Physical Systems in Smart Cities.- Application of Deep Learning in Medical Cyber-Physical Systems.- Risk Assessment and Security of Industrial Internet of Things Network using Advance Machine Learning.- Machine Learning Based Intelligent Diagnosis of Brain Tumor: Advances and Challenges.- Cyber-Physical Security in Smart Grids: A Holistic View with Machine Learning Integration.- Intelligent Biometric Authentication-based Intrusion Detection in Medical Cyber Physical System using Deep Learning.- Current datasets and their inherent challenges for Automatic Vehicle Classification.mehr

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