Forensic analysis for IoT fitness trackers and its application
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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.
KeywordsFitness tracker Xiaomi Mi Band 2 Fitbit Alta HR IoT forensic
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).
- 2.IDC: Worldwide Wearables Market Grows 7.3% in Q3 2017 as Smart Wearables Rise and Basic Wearables Decline https://www.idc.com/getdoc.jsp?containerid=prUS43260217 (2017) Accessed 30 November 2017
- 3.IDC: Global Wearables Market Grows 7.7% in 4Q17 and 10.3% in 2017 as Apple Seizes the Leader Position https://www.idc.com/getdoc.jsp?containerid=prUS43598218 (2018). Accessed 01 March 2018
- 4.Statista: Fitbit Leads Global Wearables Market https://www.statista.com/chart/8420/wearable-device-shipments/ (2017). Accessed 7 March 2017
- 5.de Arriba-Pérez F, Caeiro-Rodríguez M, Santos-Gago JM (2016) Collection and processing of data from wrist wearable devices in heterogeneous and multiple-user scenarios, Sensors 2016. https://doi.org/10.3390/s16091538
- 6.Baggili I, Oduro J, Anthony K, Breitinger F, McGee G (2015) Watch what you wear: preliminary forensic analysis of smart watches. In: 2015 10th international conference on availability, reliability and security. https://doi.org/10.1109/ARES.2015.39
- 7.abc27: Woman’s fitness watch disproved rape report http://abc27.com/2015/06/19/police-womans-fitness-watch-disproved-rape-report/ (2015). Accessed 19 June 2015
- 8.The Guardian: Man suspected in wife’s murder after her Fitbit data doesn’t match his alibi https://www.theguardian.com/technology/2017/apr/25/fitbit-data-murder-suspect-richard-dabate (2017). Accessed 25 April 2017