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Digital Forensic Practices and Methodologies for AI Speaker Ecosystemsoa mark
  • Jo, Wooyeon ;
  • Shin, Yeonghun ;
  • Kim, Hyungchan ;
  • Yoo, Dongkyun ;
  • Kim, Donghyun ;
  • Kang, Cheulhoon ;
  • Jin, Jongmin ;
  • Oh, Jungkyung ;
  • Na, B. ;
  • Shon, Taeshik
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Publication Year
2019-07-01
Publisher
Elsevier Ltd
Citation
Digital Investigation, Vol.29, pp.S80-S93
Keyword
AI speakerCloudEcosystemInternet of thingsKAKAO iKT GiGA genieNAVER ClovaSKT NUGU
Mesh Keyword
Digital forensic analysisForensic toolsInternet of Things (IOT)KT GiGA genieNAVER ClovaRegulatory guidelinesRepublic of KoreaSKT NUGU
All Science Classification Codes (ASJC)
Pathology and Forensic MedicineInformation SystemsComputer Science ApplicationsMedical Laboratory TechnologyLaw
Abstract
Various Internet of Things (IoT) devices, such as AI speakers, are being released with different functions to improve user convenience and better life. An AI speaker ecosystem is a cloud-based IoT system built around an AI speaker and IoT devices. In the near future, citizens in whole countries worldwide will be helped in real life when AI-equipped devices are deployed in their homes. Typically, because AI speakers are always operating, they can be used to provide vital evidence for digital forensics; however, privacy issues may arise. AI speakers have provided evidence of murders in the United States and Mexico and are being released without specific regulatory guidelines. In this study, we propose five digital forensic analysis methods for four AI speaker models from different manufacturers released in the Republic of Korea. The five proposed methods are applied to all the AI speaker models, and the results are presented in the Appendix. In particular, we developed a forensic tool for collecting user command history for NAVER Clova.
ISSN
1742-2876
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/30822
DOI
https://doi.org/10.1016/j.diin.2019.04.013
Fulltext

Type
Article
Funding
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning ( NRF-2018R1D1A1B07043349 ).This work was supported by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (No. 2018-0-01000 , Development of Digital Forensic Integration Platform).
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SHON, TAE SHIK손태식
Department of Cyber Security
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