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AI-enabled device digital forensics for smart cities
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Publication Year
2022-02-01
Publisher
Springer
Citation
Journal of Supercomputing, Vol.78, pp.3029-3044
Keyword
Digital forensicsIoTSmart cityWearable device
Mesh Keyword
Artificial intelligence technologiesInformation and communications technologyPersonal informationSmart devicesUser dataWearable devices
All Science Classification Codes (ASJC)
SoftwareTheoretical Computer ScienceInformation SystemsHardware and Architecture
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.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32180
DOI
https://doi.org/10.1007/s11227-021-03992-1
Fulltext

Type
Article
Funding
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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SHON, TAE SHIK Image
SHON, TAE SHIK손태식
Department of Cyber Security
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