| Description |
1 online resource (XXI, 1154 pages) : illustrations (some color) |
| Series |
Lecture notes on data engineering and communications technologies, 2367-4520 ; volume 97 |
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Lecture notes on data engineering and communications technologies ; volume 97. 2367-4520
|
| Contents |
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 |
| Summary |
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 |
| Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed November 3, 2021) |
| Subject |
Internet of things -- Security measures -- Congresses
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Machine learning -- Congresses
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Big data -- Congresses
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Big data
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Machine learning
|
| Genre/Form |
Electronic books
|
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proceedings (reports)
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Conference papers and proceedings
|
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Conference papers and proceedings.
|
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Actes de congrès.
|
| Form |
Electronic book
|
| Author |
MacIntyre, J. D. (John D.), editor.
|
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Zhao, Jinghua, editor
|
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Ma, Xiaomeng, editor
|
| ISBN |
9783030895082 |
|
3030895084 |
|
