Broschiertes Buch

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

SPIoT-2020, Volume 1

Herausgegeben: Macintyre, John; Zhao, Jinghua; Ma, Xiaomeng

Beschreibung

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.

Produktdetails

• Advances in Intelligent Systems and Computing 1282
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-62742-3
• 1st ed. 2021
• Seitenzahl: 916
• Erscheinungstermin: 4. November 2020
• Englisch
• Abmessung: 235mm x 155mm x 49mm
• Gewicht: 1358g
• ISBN-13: 9783030627423
• ISBN-10: 303062742X
• Artikelnr.: 60214626