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

SPIoT-2021 Volume 2

John Macintyre, Jinghua Zhao, Xiaomeng Ma (Herausgeber)

eBook Download: PDF

2021 | 1st ed. 2022
XX, 986 Seiten
Springer International Publishing (Verlag)
978-3-030-89511-2 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 2.11.2021
• Reihe/Serie: Lecture Notes on Data Engineering and Communications Technologies
• Reihe/Serie: Lecture Notes on Data Engineering and Communications Technologies
• Zusatzinfo: XX, 986 p. 280 illus., 190 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Analytics and Machine Learning Applications to IoT Security • Authentication and Access Control for Data Usage in IoT • Big Data Analytics • Big Data Analytics/Deep Learning Edge/Fog Security • Cyber-Physical System • Data Based Metrics and Risk Assessment Approaches for IoT • Data Confidentiality and Privacy in IoT • Data-driven Co-design of Communication, Computing and Control • Data Mining and Statistical Modelling for the Secure IoT • Emerging Standards for IoT Security • machine learning • Machine Learning Based Security Detecting Protocols • Machine Learning Experiments, Test-beds and Prototyping Systems • Novel Machine Learning and Big Data Analytics Methods • Smart City
• ISBN-10: 3-030-89511-4 / 3030895114
• ISBN-13: 978-3-030-89511-2 / 9783030895112