This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for Io T Security and Privacy (SPIo T-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIo T-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 Io T security, data mining and statistical modelling for the secure Io T and machine learning-based security detecting protocols, which inspire the development of Io T security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to Io T security; data-based metrics and risk assessment approaches for Io T; data confidentiality and privacy in Io T; and authentication and access control for data usage in Io T. 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 Io T security and privacy field.
John MacIntyre & Jinghua Zhao
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [PDF ebook]
SPIoT-2020, Volume 1
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [PDF ebook]
SPIoT-2020, Volume 1
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语言 英语 ● 格式 PDF ● 网页 884 ● ISBN 9783030627430 ● 文件大小 46.3 MB ● 编辑 John MacIntyre & Jinghua Zhao ● 出版者 Springer International Publishing ● 市 Cham ● 国家 CH ● 发布时间 2020 ● 下载 24 个月 ● 货币 EUR ● ID 7658249 ● 复制保护 社会DRM