2021 IEEE Security and Privacy Workshops (SPW) 2021
DOI: 10.1109/spw53761.2021.00052
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Forensic Analysis of Fitbit Versa: Android vs iOS

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Cited by 8 publications
(5 citation statements)
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“…This is due to the fact that fitness bracelets can store such data as a person's location (GPS), speed, and pulse at a certain time, i.e., their psychological state. If a suspect who was caught at the scene of a criminal offence, or was at a distance from the scene of the accident, a smart watch or fitness bracelet can be found using a hardware and software complex, which may later have evidentiary value in criminal proceedings ( Williams et al, 2021). Getting information from mobile phones such as iPhones with the iOS operating system has certain difficulties, especially when it comes to social media applications.…”
Section: ■ Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is due to the fact that fitness bracelets can store such data as a person's location (GPS), speed, and pulse at a certain time, i.e., their psychological state. If a suspect who was caught at the scene of a criminal offence, or was at a distance from the scene of the accident, a smart watch or fitness bracelet can be found using a hardware and software complex, which may later have evidentiary value in criminal proceedings ( Williams et al, 2021). Getting information from mobile phones such as iPhones with the iOS operating system has certain difficulties, especially when it comes to social media applications.…”
Section: ■ Discussionmentioning
confidence: 99%
“…In preparing the paper, the author has considered foreign and Ukrainian literature on the problematic issues of such scholars as A. Leonov (2020), H. Tara & A. Mishra (2021), J. Williams et al (2021). The study used the provisions of legislative acts -the CPC -as a material basis 1 , which provides for the procedure for actions of pre-trial and judicial investigation bodies in the investigation of a criminal offence within the framework of criminal proceedings and the laws of Ukraine "On Electronic Communications" 2 , "On Electronic Trust Services" 3 .…”
Section: ■ Materials and Methodsmentioning
confidence: 99%
“…A criminal investigation may use data stored on such devices and their linked applications as part of the evidence set. Concerning this possibility, Williams et al (2021) analyze an intelligent fitness device (Fitbit Versa) using Cellebrite UFED and MSAB [Khobragade and Malik 2014] Data mining/generation -Data crawled from browser logs and data streams across networks and computers EXTR [Li et al 2014] Android Recov. Methods -Samsung Galaxy S3 SMS database considering data partition on device in three periods RECV [Liu et al 2016] Recovery of deleted record -Recovery of deleted records from SQLite3 through a new approach EXTR [Satrya et al 2016] Android Telegram -Database extracted from Telegram app text and audio artifacts from three Android mobile devices EVD [Grajeda et al 2018] Digital forensic artifacts -Data of digital forensic artifacts built from a proposed tool that stores artifacts, user account information and application logs activities EXTR [Awasthi et al 2018] Smart home hub -Data extracted from home hub (Securifi Almond), which allowed forensic analysis of artifacts related to user interaction in the hub EVD [Freiling and Hösch 2018] Evidence tampering -Data on a disk image was manipulated by graduate students to study tampered digital evidence RECV [Atwal et al 2019] Spotlight, Apple desktop -Base with Spotlight metadata (search tool, Apple) to search for persistence of deleted data in your metadata EVD [van Zandwijk and Boztas 2019] iPhone Health App -Investigates the use of data extracted from the iPhone Health application, which stores data about physical exercises performed by the user EXTR [Servida and Casey 2019] IoT, digital traces -Data from mobile apps (e.g., Nest and Wink hubs) and from IoT devices (e.g., cloud data from QBee Camera and the Swisscom Home App); Plugins were developed for data extraction EVD [Hosler et al 2019] Database for Video Forensics -Data of digital forensic videos composed by 2,000 videos from 46 physical devices representing 36 unique camera models EXTR [Pessolano et al 2019] Forensic analysis nintendo 3DS…”
Section: Data Building Publications Analysis and Discussionmentioning
confidence: 99%
“…-Data from nintendo 3DS to analyze methods of hacking and extracting data from that device's internal storage system RECV [Bahjat and Jones 2019] Deleted file fragment -Framework for determining a time-window for file fragments considering the first moment that it was written to a media until it was deleted EXTR [Williams et al 2021] Android/iOS recover -Recover data from wearable smart fitness that run Android 9 and iOS 12…”
Section: Data Building Publications Analysis and Discussionmentioning
confidence: 99%
“…Other works focus on Fitbit, which is a more capable but also more expensive fitness tracker. Examples of Fitbit's studies from a digital forensic perspective include (MacDermott et al, 2019;Williams et al, 2021;Yoon and Karabiyik, 2020). Other works focus on specific smartwatches.…”
Section: Related Workmentioning
confidence: 99%