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Forensic analysis for IoT fitness trackers and its application

  • Serim Kang
  • Soram Kim
  • Jongsung KimEmail author
Article
  • 213 Downloads
Part of the following topical collections:
  1. Special Issue on IoT System Technologies based on Quality of Experience

Abstract

A fitness tracker monitors our daily activity by measuring distance walked (or run), calorie consumption, heartbeat and quality of sleep. Although originally designed to check the user’s health, its data is important in verifying the veracity of interrogation responses of the suspect, or the activities of the victim near the time of the incident. Xiaomi Mi Band 2 and Fitbit Alta HR are representative fitness trackers which allow users to view measured data on connected mobile devices. We compare the functionality of the two wearable devices, select the data that must be acquired (based on the Android device used), and provide the analysis methods for each file from the perspective of digital forensics.

Keywords

Fitness tracker Xiaomi Mi Band 2 Fitbit Alta HR IoT forensic 

Notes

Acknowledgements

This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-00344, Deciphering and forensic analysis of recent mobile devices).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Financial Information SecurityKookmin UniversitySeongbuk-GuSouth Korea
  2. 2.Department of Information SecurityCryptology and MathematicsSeongbuk-GuSouth Korea

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