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

丛 书 名：Lecture Notes on Data Engineering and Communications Technologies

版本说明：1

作     者：John Macintyre Jinghua Zhao Xiaomeng Ma 

I S B N：(纸本) 9783030895075 

出 版 社：Springer Cham 

出 版 年：1000年

页      数：XXI, 1154页

主 题 词：Data Engineering Cyber-physical systems, IoT Computational Intelligence Big Data Artificial Intelligence 

摘      要：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.