Produktbild: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

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SPIoT-2021 Volume 1, Lecture Notes on Data Engineering and Communications Technologies 97

ISBN: 3030895076
ISBN 13: 9783030895075
Herausgeber: John Macintyre/Jinghua Zhao/Xiaomeng Ma
Verlag: Springer Verlag GmbH
Umfang: xxi, 1154 S., 147 s/w Illustr., 190 farbige Illustr., 1154 p. 337 illus., 190 illus. in color.
Erscheinungsdatum: 30.10.2021
Auflage: 1/2022
Produktform: Kartoniert
Einband: Kartoniert

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Artikelnummer: 2872227 Kategorie:

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Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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