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 ...
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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.
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Add this copy of The 2021 International Conference on Machine Learning to cart. $135.15, new condition, Sold by Just one more Chapter rated 3.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2021 by Springer.
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New. Print on demand Contains: Illustrations, black & white, Illustrations, color. Lecture Notes on Data Engineering and Communications Technologies . XX, 986 p. 280 illus., 190 illus. in color. Intended for professional and scholarly audience.
Add this copy of The 2021 International Conference on Machine Learning to cart. $234.84, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2021 by Springer Nature Switzerland AG.
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New. Print on demand Contains: Illustrations, black & white, Illustrations, color. Lecture Notes on Data Engineering and Communications Technologies . XXI, 1154 p. 337 illus., 190 illus. in color. Intended for professional and scholarly audience.
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New. Contains: Illustrations, black & white, Illustrations, color. Lecture Notes on Data Engineering and Communications Technologies . XXI, 1154 p. 337 illus., 190 illus. in color. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of The 2021 International Conference on Machine Learning to cart. $279.24, new condition, Sold by Ria Christie Books rated 4.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2021 by Springer Nature Switzerland AG.
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Seller's Description:
New. Contains: Illustrations, black & white, Illustrations, color. Lecture Notes on Data Engineering and Communications Technologies . XX, 986 p. 280 illus., 190 illus. in color. Intended for professional and scholarly audience.
Add this copy of The 2021 International Conference on Machine Learning to cart. $279.24, new condition, Sold by Ria Christie Books rated 4.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2021 by Springer Nature Switzerland AG.
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Seller's Description:
New. Contains: Illustrations, black & white, Illustrations, color. Lecture Notes on Data Engineering and Communications Technologies . XXI, 1154 p. 337 illus., 190 illus. in color. Intended for professional and scholarly audience.
