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Wir sind gerne für Sie daThis 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.
Produkteigenschaften
- Artikelnummer: 9783030895105
- Medium: Buch
- ISBN: 978-3-030-89510-5
- Verlag: Springer International Publishing
- Erscheinungstermin: 03.11.2021
- Sprache(n): Englisch
- Auflage: 1. Auflage 2022
- Serie: Lecture Notes on Data Engineering and Communications Technologies
- Produktform: Kartoniert
- Gewicht: 1492 g
- Seiten: 986
- Format (B x H x T): 155 x 235 x 54 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Mensch-Maschine-Interaktion
- Ambient Intelligence, RFID, Internet der Dinge
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Mensch-Maschine-Interaktion
- Ambient Intelligence, RFID, Internet der Dinge
- Mathematik | Informatik
- EDV | Informatik
- Angewandte Informatik
- Computeranwendungen in Wissenschaft & Technologie