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220104 ||| eng |
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|a 9783030895082
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| 100 |
1 |
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|a Macintyre, John
|e [editor]
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| 245 |
0 |
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|a The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
|h Elektronische Ressource
|b SPIoT-2021 Volume 1
|c edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2022, 2022
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| 300 |
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|a XXI, 1154 p. 337 illus., 190 illus. in color
|b online resource
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| 505 |
0 |
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|a 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.
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| 653 |
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|a Big data
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Data Engineering
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Cyber-Physical Systems
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| 653 |
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|a Engineering / Data processing
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| 653 |
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|a Cooperating objects (Computer systems)
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| 653 |
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|a Big Data
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| 700 |
1 |
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|a Zhao, Jinghua
|e [editor]
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| 700 |
1 |
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|a Ma, Xiaomeng
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes on Data Engineering and Communications Technologies
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| 028 |
5 |
0 |
|a 10.1007/978-3-030-89508-2
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-030-89508-2?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 620.00285
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| 520 |
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|a 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
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