The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021. Volume 2 / John Macintyre, Jinghua Zhao, Xiaomeng Ma, editors.
SPIoT (Conference) (2nd : 2021 : Online); Macintyre, John.; Zhao, Jinghua.; Ma, Xiaomeng.
2022
TK5105.8857 .S65 2021eb
Available Online

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Title The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021. Volume 2 / John Macintyre, Jinghua Zhao, Xiaomeng Ma, editors.
Meeting Name SPIoT (Conference) (2nd : 2021 : Online)
ISBN 9783030895112 (electronic bk.)
3030895114 (electronic bk.)
9783030895105
DOI https://doi.org/10.1007/978-3-030-89511-2
Imprint Cham, Switzerland : Springer, [2022]
Language English
Description 1 online resource (999 pages)
Other Standard Identifiers 10.1007/978-3-030-89511-2 doi
Call Number TK5105.8857 .S65 2021eb
Dewey Decimal Classification 004.67/8
Summary 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.
Note Includes author index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (Library Ideas, viewed November 15, 2021).
Added Author Macintyre, John.
Zhao, Jinghua.
Ma, Xiaomeng.
Series Lecture notes on data engineering and communications technologies ; v. 98.
Available in Other Form 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy.
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