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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1: 97 (Lecture Notes on ... and Communications Technologies, 97) - Softcover
- PublisherSpringer
- Publication date2021
- ISBN 10 3030895076
- ISBN 13 9783030895075
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages1175
- EditorMacintyre John, Zhao Jinghua, Ma Xiaomeng
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1: 97 (Lecture Notes on . and Communications Technologies, 97)
Seller: Devils in the Detail Ltd, Oxford, United Kingdom
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Condition: Very Good. Picture Shown is For Illustration Purposes Only, Please See Below For Further DetailsCONDITION ? VERY GOOD - PAPERBACKlight wear and scuff marks to cover, pages in nice condition, shipped from the UK. Seller Inventory # 569/BLR/1760P 5075
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT-2021 Volume 1.
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Cham, Springer International Publishing., 2022
ISBN 10: 3030895076
ISBN 13: 9783030895075
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First Edition
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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1st ed. 2022. XXI, 1154 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Lecture Notes on Data Engineering and Communications Technologies, 97. Sprache: Englisch. Seller Inventory # 44344HB
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1 (Lecture Notes on Data Engineering and Communications Technologies, 97)
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
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Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030895076
ISBN 13: 9783030895075
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Condition: 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. Seller Inventory # 508575858
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
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Springer International Publishing Okt 2021, 2021
ISBN 10: 3030895076
ISBN 13: 9783030895075
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - 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. 1176 pp. Englisch. Seller Inventory # 9783030895075
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1 (Lecture Notes on Data Engineering and Communications Technologies, 97)
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1
Published by
Springer International Publishing, 2021
ISBN 10: 3030895076
ISBN 13: 9783030895075
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783030895075
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1 (Lecture Notes on Data Engineering and Communications Technologies, 97)
Seller: California Books, Miami, FL, U.S.A.
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
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