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Poster Abstract: SmartAppZoo: a Repository of SmartThings Apps for IoT Benchmarking

Published: 09 May 2023 Publication History

Abstract

A well-organized SmartApps dataset provides a valuable resource for researchers to evaluate their work on smart home automation systems. The IoTBench dataset created by Celik et al. 1 is a significant contribution to the IoT research community [1]. However, due to the fast growth of SmartApps and the retirement of some old apps, the IoTBench dataset becomes outdated. The research community is in need of a new large-scale and carefully cleaned benchmarking dataset. In this poster, we present a new repository, namely, SmartAppZoo, which contains 3,526 SmartApps collected from GitHub repositories, including 184 SmartThings official apps, 468 third-party apps from IoTBench, and 2,874 new third-party apps. SmartAppZoo is a manually-verified, comprehensive, clean, and diverse IoT benchmarking dataset. SmartAppZoo is available at: https://github.com/SmartAppZoo/SmartAppZoo.

References

[1]
Z Berkay Celik, Leonardo Babun, Amit Kumar Sikder, Hidayet Aksu, Gang Tan, Patrick McDaniel, and A Selcuk Uluagac. 2018. Sensitive information tracking in commodity IoT. In USENIX Security Symposium.
[2]
SmartThings Community. 2023. SmartApps & Automations. Retrieved Feb 2, 2023 from https://community.smartthings.com/c/smartapps/6
[3]
Github. 2023. GitHub Docs. Retrieved Feb 2, 2023 from https://docs.github.com/en/rest/search?apiVersion=2022-11-28#about-the-search-api
[4]
Amanda Lee and Travis Atkison. 2017. A comparison of fuzzy hashes: evaluation, guidelines, and future suggestions. In Proceedings of the SouthEast Conference.
[5]
Jonathan Oliver, Chun Cheng, and Yanggui Chen. 2013. TLSH–a locality sensitive hash. In Cybercrime and Trustworthy Computing Workshop.

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    cover image ACM Conferences
    IoTDI '23: Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation
    May 2023
    514 pages
    ISBN:9798400700378
    DOI:10.1145/3576842
    This work is licensed under a Creative Commons Attribution International 4.0 License.

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 09 May 2023

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    Author Tags

    1. Dataset
    2. IoT
    3. SmartApps
    4. SmartThings

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