Called function identification of IoT devices by network traffic analysis

Daichi Koike, Shigemi Ishida, Yutaka Arakawa

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

IoT devices are currently used in various situations, with the number of applications steadily increasing over the past few years. These IoT devices are connected to outside networks, and as such are often targets of hacking attempts and associated with private user information leaks. The end user is often unaware of how these devices operate, and as a result is unable to notice any unauthorized communication. In response, we aim to create a system to visualize the activity of an IoT device (IoT activity monitor). To create this system, we analyze the network traffic of an IoT device and propose a way to estimate which function it uses. Using Wire-Shark, a packet capture software, we evaluate the data transmitted from the Amazon Echo Spot, Amazon Echo Dot and Amazon Echo Flex, which are smart speakers. We confirmed that we can estimate 8~10 kinds of called functions with 76.1%, 89.8% and 85.2% accuracy for each smart speaker respectively.

本文言語英語
ホスト出版物のタイトルProceedings of the 36th Annual ACM Symposium on Applied Computing, SAC 2021
出版社Association for Computing Machinery
ページ737-743
ページ数7
ISBN(電子版)9781450381048
DOI
出版ステータス出版済み - 3 22 2021
イベント36th Annual ACM Symposium on Applied Computing, SAC 2021 - Virtual, Online, 大韓民国
継続期間: 3 22 20213 26 2021

出版物シリーズ

名前Proceedings of the ACM Symposium on Applied Computing

会議

会議36th Annual ACM Symposium on Applied Computing, SAC 2021
国/地域大韓民国
CityVirtual, Online
Period3/22/213/26/21

All Science Journal Classification (ASJC) codes

  • ソフトウェア

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