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AI-enabled device digital forensics for smart cities

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Abstract

Recently, smart cities provide various services to citizens through the convergence of Information and Communications Technology and industries such as transportation, health care, and automobiles. Accordingly, the number of smart devices that use artificial intelligence technology to store the personal information of users to provide services efficiently is increasing. Smart devices can be used to acquire key evidence through digital forensics, which can also serve, as evidence in a court. In this study, we acquire and analyze user data stored in wearable devices by applying a data acquisition framework for smart devices. This study contributes to the acquisition of key evidence for investigations.

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Acknowledgements

This research was supported by the Energy Cloud R&D Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT (NRF-2019M3F2A1073385)

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Authors and Affiliations

  1. Department of AI Convergence Network, Ajou University, Suwon, Korea

    Sungbum Kim, Jino Lee & Taeshik Shon

  2. Department of Computer Engineering, Ajou University, Suwon, Korea

    Wooyeon Jo

  3. Department of Cyber Security, Ajou University, Suwon, Korea

    Taeshik Shon

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  1. Sungbum Kim
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  2. Wooyeon Jo
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  3. Jino Lee
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  4. Taeshik Shon
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Correspondence to Taeshik Shon.

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Kim, S., Jo, W., Lee, J. et al. AI-enabled device digital forensics for smart cities. J Supercomput 78, 3029–3044 (2022). https://doi.org/10.1007/s11227-021-03992-1

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