| The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 1 2021 Edition Contributor(s): Macintyre, John (Editor), Zhao, Jinghua (Editor), Ma, Xiaomeng (Editor) |
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ISBN: 303062742X ISBN-13: 9783030627423 Publisher: Springer OUR PRICE: $208.99 Product Type: Paperback - Other Formats Published: November 2020 |
| Additional Information |
| BISAC Categories: - Computers | Data Processing - Technology & Engineering | Electrical - Technology & Engineering | Engineering (general) |
| Physical Information: 1.81" H x 6.14" W x 9.21" (2.78 lbs) 884 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |