A Machine Learning Security Framework for Iot Systems

Internet of Things security is attracting a growing attention from both academic and industry communities. Indeed, IoT devices are prone to various security attacks varying from Denial of Service (DoS) to network intrusion and data leakage. This paper presents a novel machine learning (ML) based sec...

Full description

Bibliographic Details
Main Authors: Miloud Bagaa, Tarik Taleb, Jorge Bernal Bernabe, Antonio Skarmeta
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
SDN
NFV
Online Access:https://ieeexplore.ieee.org/document/9097876/