The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy -

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

SPIoT-2021 Volume 2
Buch | Softcover
XX, 986 Seiten
2021 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-030-89510-5 (ISBN)
213,99 inkl. MwSt
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.

 

Erscheinungsdatum
Reihe/Serie Lecture Notes on Data Engineering and Communications Technologies
Zusatzinfo XX, 986 p. 280 illus., 190 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1514 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Technik
Schlagworte Analytics and Machine Learning Applications to IoT Security • Authentication and Access Control for Data Usage in IoT • Big Data Analytics • Big Data Analytics/Deep Learning Edge/Fog Security • Cyber-Physical System • Data Based Metrics and Risk Assessment Approaches for IoT • Data Confidentiality and Privacy in IoT • Data-driven Co-design of Communication, Computing and Control • Data Mining and Statistical Modelling for the Secure IoT • Emerging Standards for IoT Security • machine learning • Machine Learning Based Security Detecting Protocols • Machine Learning Experiments, Test-beds and Prototyping Systems • Novel Machine Learning and Big Data Analytics Methods • Smart City
ISBN-10 3-030-89510-6 / 3030895106
ISBN-13 978-3-030-89510-5 / 9783030895105
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich