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

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213,99 

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
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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