The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020: Vol 2

MacIntyre, John (Editor)/ Zhao, Jinghua (Editor)/ Ma, Xiaomeng (Editor)

ISBN 10: 3030627454 / ISBN 13: 9783030627454

Published by Springer-Nature New York Inc, 2021

About this Item

863 pages. 9.25x6.10x1.97 inches. In Stock.

Seller Inventory # x-3030627454

Bibliographic Details

• Title: The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020: Vol 2
• Publisher: Springer-Nature New York Inc
• Publication Date: 2021
• Language: English
• ISBN 10: 3030627454
• ISBN 13: 9783030627454
• Binding: Paperback
• Condition: Brand New
• Weight: 1.33 kilograms

About this title

Synopsis

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. 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.