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The 2021 International Conf...
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
Monografía
monografia Rebiun32529292 https://catalogo.rebiun.org/rebiun/record/Rebiun32529292 cr nn 008mamaa 211027s2022 sz | s |||| 0|eng d 9783030895082 10.1007/978-3-030-89508-2 doi UEM 395484 UPVA 997932551303706 UAM 991008182645904211 CBUC 991005082332506711 CBUC 991010724422006709 CBUC 991010724422006709 UCAR 991008309817604213 UR0540548 ES-MaUEC spa ES-MaUEC 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 1st edition 2022 Cham Springer International Publishing 2022 Cham Cham Springer International Publishing 1 recurso en línea (XXI, 1154 páginas) 337 ilustraciones, 190 ilustraciones a color 1 recurso en línea (XXI, 1154 páginas) Texto txt rdacontent electrónico c rdamedia recurso electrónico cr rdacarrier archivo de texto PDF Lecture Notes on Data Engineering and Communications Technologies 2367-4520 97 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. . 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 Printed edition 9783030895075 Printed edition 9783030895099