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Titolo: |
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 2 / / edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma
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Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Edizione: | 1st ed. 2022. |
Descrizione fisica: | 1 online resource (999 pages) |
Disciplina: | 006.3 |
Soggetto topico: | Engineering - Data processing |
Cooperating objects (Computer systems) | |
Computational intelligence | |
Big data | |
Artificial intelligence | |
Data Engineering | |
Cyber-Physical Systems | |
Computational Intelligence | |
Big Data | |
Artificial Intelligence | |
Persona (resp. second.): | McIntyreJohn <1916-2005, > |
ZhaoJinghua | |
MaXiaomeng | |
Nota di contenuto: | 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. . |
Sommario/riassunto: | 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. |
Titolo autorizzato: | The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy ![]() |
ISBN: | 3-030-89511-4 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910523725703321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |