• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

数字取证分析提升安卓用户隐私保护

Digital Forensic Analysis to Improve User Privacy on Android.

机构信息

Platform Tech Team, WINS Co., Ltd., Seongnam 13487, Korea.

Department of Artificial Intelligence Convergence Network, Ajou University, Suwon 16499, Korea.

出版信息

Sensors (Basel). 2022 May 24;22(11):3971. doi: 10.3390/s22113971.

DOI:10.3390/s22113971
PMID:35684591
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9182858/
Abstract

The Android platform accounts for 85% of the global smartphone operating-system market share, and recently, it has also been installed on Internet-of-Things (IoT) devices such as wearable devices and vehicles. These Android-based devices store various personal information such as user IDs, addresses, and payment information and device usage data when providing convenient functions to users. Insufficient security for the management and deletion of data stored in the device can lead to various cyber security threats such as personal information leakage and identity theft. Therefore, research on the protection of personal information stored in the device is very important. However, there is a limitation that the current research for protection of personal information on the existing Android platform was only conducted on Android platform 6 or lower. In this paper, we analyze the deleted data remaining on the device and the possibility of recovery to improve user privacy for smartphones using Android platforms 9 and 10. The deleted data analysis is performed based on three data deletion scenarios: data deletion using the app's own function, data deletion using the system app's data and cache deletion function, and uninstallation of installed apps. It demonstrates the potential user privacy problems that can occur when using Android platforms 9 and 10 due to the leakage of recovered data. It also highlights the need for improving the security of personal user information by erasing the traces of deleted data that remain in the journal area and directory entry area of the filesystem used in Android platforms 9 and 10.

摘要

安卓平台占据了全球智能手机操作系统市场 85%的份额,最近,它也被安装在物联网(IoT)设备上,如可穿戴设备和车辆。这些基于安卓的设备在为用户提供便利功能的同时,存储了各种个人信息,如用户 ID、地址和支付信息以及设备使用数据。设备中存储的数据在管理和删除方面的安全性不足,可能导致各种网络安全威胁,如个人信息泄露和身份盗用。因此,研究设备中存储的个人信息保护非常重要。然而,目前对现有安卓平台上的个人信息保护的研究仅限于安卓 6 或更低版本。在本文中,我们分析了设备上残留的已删除数据及其恢复的可能性,以提高使用安卓 9 和 10 平台的智能手机的用户隐私。已删除数据的分析基于三种数据删除场景:使用应用程序自身功能删除数据、使用系统应用程序的数据和缓存删除功能删除数据,以及卸载已安装的应用程序。它展示了由于恢复数据的泄露,在使用安卓 9 和 10 时可能出现的潜在用户隐私问题。它还强调了需要通过擦除安卓 9 和 10 中使用的文件系统的日志区域和目录项区域中残留的已删除数据痕迹来提高个人用户信息的安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/dc2e5255d10f/sensors-22-03971-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/5b5123ea16e8/sensors-22-03971-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/3ed1e177a601/sensors-22-03971-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/f63d2813ceec/sensors-22-03971-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/cd296d2002df/sensors-22-03971-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/7b9ab45e70f0/sensors-22-03971-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/653c3f2d2e8a/sensors-22-03971-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/53635af1232b/sensors-22-03971-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/9c0fd8d741f4/sensors-22-03971-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/dc2e5255d10f/sensors-22-03971-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/5b5123ea16e8/sensors-22-03971-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/3ed1e177a601/sensors-22-03971-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/f63d2813ceec/sensors-22-03971-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/cd296d2002df/sensors-22-03971-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/7b9ab45e70f0/sensors-22-03971-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/653c3f2d2e8a/sensors-22-03971-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/53635af1232b/sensors-22-03971-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/9c0fd8d741f4/sensors-22-03971-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a14/9182858/dc2e5255d10f/sensors-22-03971-g009.jpg

相似文献

1
Digital Forensic Analysis to Improve User Privacy on Android.数字取证分析提升安卓用户隐私保护
Sensors (Basel). 2022 May 24;22(11):3971. doi: 10.3390/s22113971.
2
User Control of Personal mHealth Data Using a Mobile Blockchain App: Design Science Perspective.用户使用移动区块链应用程序控制个人健康数据:设计科学视角。
JMIR Mhealth Uhealth. 2022 Jan 20;10(1):e32104. doi: 10.2196/32104.
3
Data sharing practices of medicines related apps and the mobile ecosystem: traffic, content, and network analysis.药品相关应用程序和移动生态系统的数据共享实践:流量、内容和网络分析。
BMJ. 2019 Mar 20;364:l920. doi: 10.1136/bmj.l920.
4
Protecting contacts against privacy leaks in smartphones.保护智能手机中的联系人隐私不泄露。
PLoS One. 2018 Jul 11;13(7):e0191502. doi: 10.1371/journal.pone.0191502. eCollection 2018.
5
Let the Cat out of the Bag: Popular Android IoT Apps under Security Scrutiny.《揭开锅盖:备受关注的安卓物联网应用程序安全评估》
Sensors (Basel). 2022 Jan 10;22(2):513. doi: 10.3390/s22020513.
6
Internet Financial Data Security and Economic Risk Prevention for Android Application Privacy Leakage Detection.安卓应用隐私泄露检测中的互联网金融数据安全和经济风险防范。
Comput Intell Neurosci. 2022 Mar 24;2022:6782281. doi: 10.1155/2022/6782281. eCollection 2022.
7
DroidChamber: Multilevel Security for Mobile Devices to Support Telemedicine on the Battlefield.DroidChamber:用于移动设备的多层安全防护,以支持战场上的远程医疗。
Mil Med. 2023 Nov 8;188(Suppl 6):192-198. doi: 10.1093/milmed/usad084.
8
Research on Data Security and Privacy Protection of Wearable Equipment in Healthcare.医疗保健中可穿戴设备的数据安全与隐私保护研究
J Healthc Eng. 2021 Feb 5;2021:6656204. doi: 10.1155/2021/6656204. eCollection 2021.
9
Forensic Inspection of Sensitive User Data and Artifacts from Smartwatch Wearable Devices.智能手表可穿戴设备敏感用户数据及工件的法医检查。
J Forensic Sci. 2019 Nov;64(6):1673-1686. doi: 10.1111/1556-4029.14109. Epub 2019 Jun 10.
10
Need for the Development of a Specific Regulatory Framework for Evaluation of Mobile Health Apps in Peru: Systematic Search on App Stores and Content Analysis.秘鲁需要制定专门的监管框架来评估移动健康应用程序:对应用商店的系统搜索和内容分析。
JMIR Mhealth Uhealth. 2020 Jul 10;8(7):e16753. doi: 10.2196/16753.