The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020 (1) (Advances in Intelligent Systems and Computing, 1282)

ISBN 10: 303062742X / ISBN 13: 9783030627423

Published by Springer, 2020

About this Item

pp. XXXI, 884 221 illus., 150 illus. in color. 2021st edition NO-PA16APR2015-KAP.

Seller Inventory # 26384562816

Bibliographic Details

• Title: The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020 (1) (Advances in Intelligent Systems and Computing, 1282)
• Publisher: Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 303062742X
• ISBN 13: 9783030627423
• Binding: Soft cover
• Condition: New

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.