Abstract
In this paper, we modeled home IoT traffic based on users' in-home activities by the sensors and operations of home IoT devices. Then, we applied the model to the detection of anomalous operations. We evaluated our model by using a dataset obtained in an actual home environment. The results demonstrated that the detection using our method achieved $72.3%$ detections with less than $20.1%$ misdetections.
Users
Please
log in to take part in the discussion (add own reviews or comments).