Inproceedings,

Modeling Home IoT Traffic using Users' in-Home Activities for Detection of Anomalous Operations

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32th International Teletraffic Congress (ITC 32), Ph.D. Workshop, Osaka, Japan, (2020)

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.

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