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2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 986 pages, height x width: 235x155 mm, weight: 1514 g, 190 Illustrations, color; 90 Illustrations, black and white; XX, 986 p. 280 illus., 190 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes on Data Engineering and Communications Technologies 98
  • Izdošanas datums: 03-Nov-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030895106
  • ISBN-13: 9783030895105
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  • Mīkstie vāki
  • Cena: 198,63 €*
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2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2 1st ed. 2022Palielināt
  • Formāts: Paperback / softback, 986 pages, height x width: 235x155 mm, weight: 1514 g, 190 Illustrations, color; 90 Illustrations, black and white; XX, 986 p. 280 illus., 190 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes on Data Engineering and Communications Technologies 98
  • Izdošanas datums: 03-Nov-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030895106
  • ISBN-13: 9783030895105
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030895105.html
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.

Analysis of Sentiment Tendency of Tourists' Comments Based on Text
Mining.- Analysis of Smart City Construction Based on 5G Data Technology.-
Prediction of Stock Price Based on Artificial Intelligence Algorithm.-
Variation Translation Strategy System of Intangible Cultural Heritage Based
on Data Mining.- A Computer-aided Comparative Study on Grammatical Cohesion
in Abstracts of Sci-tech Journal Papers by Chinese and American Scholars.-
Computer Graphics and Image Software in Advertising Design.- Design and
Research of Production Information Management System for Project Based
Mechanical Manufacturing Enterprises.- Impact of Computer Network Technology
on Regional Economic Development.- Chaos Algorithm of Electrical Control
System Based on Neural Network Technology.- Pulse Signal Acquisition System
Based on Match Pursuit Algorithm.- Data Analysis of Power System Engineering
Construction Based on PPSO Algorithm.- Reactive Optimization of Power System
Based on K-means Algorithm.- Design and Structure Analysis of Manipulator
based on Acceleration Sensor.- Discussion on Decision Tree Algorithm in
University Teaching Management System.