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Titolo: | The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1 / / edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Edizione: | 1st ed. 2022. |
Descrizione fisica: | 1 online resource (1169 pages) |
Disciplina: | 006.31 |
Soggetto topico: | Engineering - Data processing |
Cooperating objects (Computer systems) | |
Computational intelligence | |
Big data | |
Artificial intelligence | |
Data Engineering | |
Cyber-Physical Systems | |
Computational Intelligence | |
Big Data | |
Artificial Intelligence | |
Persona (resp. second.): | MacintyreJohn |
ZhaoJinghua | |
MaXiaomeng | |
Note generali: | Includes index. |
Nota di contenuto: | 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. . |
Sommario/riassunto: | 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. |
Titolo autorizzato: | The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy |
ISBN: | 3-030-89508-4 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910523725603321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |