Detecting IoT Traffic Anomalies in Smart Home Environment
Hung Nguyen-An, Thomas Silverston, Taku Yamazaki, Takumi Miyoshi · 2019
In this paper, we propose a novel approach to evaluate risks for Internet of Things (IoT). As the impact of the IoT traffic on the Internet is still largely unknown, we characterize IoT traffic in smart home environment and then generate synthetic IoT traffic in order to compare with IoT malicious traffic. This work is the first step towards understanding the properties of IoT traffic and its impact on the Internet as well as for detecting anomalies in IoT traffic.