Häftad, Engelska, 2020
Del 1282 i serien Advances in Intelligent Systems and Computing
2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
SPIoT-2020, Volume 1
Av John MacIntyre, Jinghua Zhao, Xiaomeng Ma
2809 kr
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Beskrivning
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.
Produktinformation
- Utgivningsdatum: 2020-11-04
- Mått: 155 x 235 x 49 mm
- Vikt: 1 358 g
- Format: Häftad
- Språk: Engelska
- Serie: Advances in Intelligent Systems and Computing
- Antal sidor: 884
- Förlag: Springer Nature Switzerland AG
- ISBN: 9783030627423
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