The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 1 / / 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 (XXXI, 884 p. 221 illus., 150 illus. in color.)
• Disciplina: 620.00285
• 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.): MacIntyreJ. D (John D.); ZhaoJinghua; MaXiaomeng
• 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: 3-030-62743-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910863143703321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in Intelligent Systems and Computing, . 2194-5365 ; ; 1282