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.
%0 Conference Paper
%1 mas20ITC32-WS
%A Yamauchi, Masaaki
%A Tanaka, Masahiro
%A Ohsita, Yuichi
%A Murata, Masayuki
%A Ueda, Kensuke
%A Kato, Yoshiaki
%B 32th International Teletraffic Congress (ITC 32), Ph.D. Workshop
%C Osaka, Japan
%D 2020
%K Anomaly_detection IoT Security Situation_estimation Smart_home itc itc32
%T Modeling Home IoT Traffic using Users' in-Home Activities for Detection of Anomalous Operations
%U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc32/mas20ITC32-WS.pdf?inline=true
%X 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.
@inproceedings{mas20ITC32-WS,
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.},
added-at = {2021-03-02T15:22:25.000+0100},
address = {Osaka, Japan},
author = {Yamauchi, Masaaki and Tanaka, Masahiro and Ohsita, Yuichi and Murata, Masayuki and Ueda, Kensuke and Kato, Yoshiaki},
biburl = {https://www.bibsonomy.org/bibtex/2a7811613eabf338202d74dba17b5479f/itc},
booktitle = {32th International Teletraffic Congress (ITC 32), Ph.D. Workshop},
interhash = {439e9bd40a221b08fc90e28634eb9e8d},
intrahash = {a7811613eabf338202d74dba17b5479f},
keywords = {Anomaly_detection IoT Security Situation_estimation Smart_home itc itc32},
timestamp = {2021-03-02T15:22:25.000+0100},
title = {Modeling Home IoT Traffic using Users' in-Home Activities for Detection of Anomalous Operations},
url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc32/mas20ITC32-WS.pdf?inline=true},
year = 2020
}