The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Springer International Publishing (Verlag)
978-3-030-89507-5 (ISBN)
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.
Application of Artificial Intelligence in Arrangement Creation.- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++.- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition.- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development.- Influence of RPA Financial Robot on Financial Accounting and its Countermeasures.- Application of Artificial Intelligence Technology in English Online Learning Platform.- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine.- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era.- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field.- Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology.- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System.- Application of 3D Computer Aided System in Dance Creation and Learning.- Data Selection and Machine Learning Algorithm Application under the Background of Big Data.
| Erscheinungsdatum | 31.10.2021 |
|---|---|
| Reihe/Serie | Lecture Notes on Data Engineering and Communications Technologies |
| Zusatzinfo | XXI, 1154 p. 337 illus., 190 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1613 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Technik | |
| 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 • 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 | 3-030-89507-6 / 3030895076 |
| ISBN-13 | 978-3-030-89507-5 / 9783030895075 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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