Survey IOT Systems Security Based on Machine Learning

Titre	Survey IOT Systems Security Based on Machine Learning
Publication Type	Journal Article
Year of Publication	2022
Authors	Boumait, EM, Habbani, A, Souidi, M, Didi, Z
Journal	Lecture Notes in Networks and Systems
Volume	455 LNNS
Pagination	251-258
Abstract	IoT technologies are essential for creating a variety of smart applications in the real world that will improve people’s lives. The focus of this study is on the security of IoT systems using machine learning. It’s about a thorough examination of the security challenges and threats that applications face. It’s a survey of machine learning techniques that can be utilized to boost IoT system confidence and security. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
URL	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130368202&doi=10.1007%2f978-3-031-02447-4_26&partnerID=40&md5=7e46544676b219af8cfdbafd0edc735a
DOI	10.1007/978-3-031-02447-4_26