Investigating Wearable Fitness Applications: Data Privacy and Digital Forensics Analysis on Android

Author:

Hutchinson ShinelleORCID,Mirza Mohammad MerajORCID,West Nicholas,Karabiyik UmitORCID,Rogers Marcus K.,Mukherjee Tathagata,Aggarwal Sudhir,Chung Haeyong,Pettus-Davis Carrie

Abstract

Wearable devices are becoming more and more prevalent in our daily lives as people become more curious about how well they are doing in monitoring, improving, or maintaining their health and fitness. Fitness trackers and smartwatches have become almost ubiquitous, so these devices have begun to play a critical role in forensic investigations. In this paper, the authors conducted a forensic analysis of the controlling applications for three popular fitness bands and smartwatches (i.e., Amazon Halo, Garmin Connect, and Mobvoi) on an Android smartphone device to (1) provide forensic investigators with a road-map of forensically relevant data that are stored within these applications and (2) highlight any privacy concerns that the stored data within these applications may present to the applications’ users. Our findings indicate that the three fitness applications store a wealth of user data. In particular, the Amazon Halo app stores daily, weekly, and monthly activity-related data for at least the last 13 days. The user’s Tone Analysis results were also recovered. The Garmin Connect application also records detailed user activity information, as it was possible to recover the last 15 days worth of user activity data. The Garmin Connect user’s general location was also determined via the application’s weather notification feature. Lastly, the Mobvoi application records all data points from the time the device is first used until the last time the device is used. These data points may include heart rates taken every 5 min and step counts. Our findings highlight the possibility of collecting personally identifiable information about users of these devices and apps, including their profile information, habits, location, and state of mind. These findings would be pertinent to forensic investigators in the event that these or similar applications are part of an investigation.

Funder

National Institute of Justice

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference40 articles.

1. The Internet of Things Is Changing the World—WSJ https://www.wsj.com/articles/the-internet-of-things-is-changing-the-world-01578689806

2. Wearable Technology Definition https://www.investopedia.com/terms/w/wearable-technology.asp

3. Wearables Shipments Worldwide 2020 | Statista https://www.statista.com/statistics/437871/wearables-worldwide-shipments/

4. Global Smartwatch Unit Sales Forecast 2018–2023, Statista_2021 https://www.statista.com/statistics/878144/worldwide-smart-wristwear-shipments-forecast

5. Cheap Children Smartwatch Leaks over 5000 Children’s Information Infotech News_2021 https://meterpreter.org/cheap-children-smartwatch-leaks-over-5000-childrens-information

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3