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Titolo: | The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma |
Pubblicazione: | Springer International Publishing, 2021 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | |
Edizione: | 1st ed. 2021. |
Descrizione fisica: | 1 online resource (XXXII, 863 p. 222 illus., 128 illus. in color.) |
Disciplina: | 004.678 |
Soggetto topico: | Engineering—Data processing |
Cooperating objects (Computer systems) | |
Computational intelligence | |
Machine learning | |
Big data | |
Data Engineering | |
Cyber-Physical Systems | |
Computational Intelligence | |
Machine Learning | |
Big Data | |
Persona (resp. second.): | ZhaoJinghua |
MaXiaomeng | |
McIntyreJohn <1916-2005, > | |
Note generali: | Includes index. |
Sommario/riassunto: | This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. 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 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy |
ISBN: | 3-030-62746-2 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910863143603321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |