Intelligent anomaly detection system for Internet of things

Abstract

Technical Report ITU-T YSTR-IADIoT presents an intelligent anomaly detection system for the Internet of Things (IoT) which is based on the use of new technologies to detect anomalous behaviour in IoT-based systems. It is a hybrid system that responds to proven filtering security rules for known attacks. Then, through a machine learning module, new anomalous traffic can be detected, and the rules reconfigured according to the analysis and discovery made. The main objective of this Technical Report is to demonstrate the feasibility of implementing certain controls and security aspects as close as possible to IoT devices.