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

SPIoT-2021 Volume 1

Xiaomeng Ma, John Macintyre, Jinghua Zhao


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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.

About the book
Author
Xiaomeng  Ma , John  MacIntyre , Jinghua  Zhao
Imprint
Springer
Collection
Lecture Notes on Data Engineering and Communications Technologies
Publication date
2021-10-27
Pages
1154 pages
Print ISBN
9783030895075
Language
English
Ebook informations
EAN PDF
9783030895082
Price
£199.50
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Copy count 11
Print count 115
File size 56300 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9783030895082
Price
£199.50
Read more
Copy count 11
Print count 115
File size 75100 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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