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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Technik Maschinenbau, Fertigungstechnik

• Plný název: 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
• Podnázev: SPIoT-2020, Volume 2
• Autor: Xiaomeng Ma, Jinghua Zhao
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 863
• EAN: 9783030627454
• ISBN: 3030627454
• ID: 33377389
• Nakladatelství: Springer Nature Switzerland AG
• Hmotnost: 1347 g
• Rozměry: 235 × 155 × 48 mm
• Datum vydání: 05. November 2020

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