Produktbild: The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

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SPIoT-2020, Volume 2, Advances in Intelligent Systems and Computing 1283

ISBN: 3030627454
ISBN 13: 9783030627454
Herausgeber: John MacIntyre/Jinghua Zhao/Xiaomeng Ma
Verlag: Springer Verlag GmbH
Umfang: xxxii, 863 S., 94 s/w Illustr., 128 farbige Illustr., 863 p. 222 illus., 128 illus. in color.
Erscheinungsdatum: 05.11.2020
Auflage: 1/2021
Produktform: Kartoniert
Einband: Kartoniert

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. 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: 9889560 Kategorie:

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Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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