Authors: Wooyeon Jo (Ajou University), Yeonghun Shin (Ajou University), Hyungchan Kim (Ajou University), Dongkyun Yoo (Ajou University), Donghyun Kim (KITRI BoB), Cheulhoon Kang (Supreme Prosecutor's Office, Republic of Korea), Jongmin Jin (Supreme Prosecutor's Office, Republic of Korea), Junghoon Oh (Supreme Prosecutor's Office, Republic of Korea), Bitna Na (Ajou University), and Taeshik Shon (Ajou University)



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.