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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2 (Lecture Notes on Data Engineering and Communications Technologies, 98)

Edit� par Springer, 2021

ISBN 10 : 3030895106 ISBN 13 : 9783030895105

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

Edit� par Springer, Berlin|Springer International Publishing|Springer, 2021

ISBN 10 : 3030895106 ISBN 13 : 9783030895105

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 advance. N� de r�f. du vendeur 508575859

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2

Macintyre, John (Edited by)/ Zhao, Jinghua (Edited by)/ Ma, Xiaomeng (Edited by)

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ISBN 10 : 3030895106 ISBN 13 : 9783030895105

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

John Macintyre

Edit� par Springer International Publishing Nov 2021, 2021

ISBN 10 : 3030895106 ISBN 13 : 9783030895105

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 2

John Macintyre

Edit� par Springer International Publishing, 2021

ISBN 10 : 3030895106 ISBN 13 : 9783030895105

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783030895105

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