Investigating and Revealing Privacy Leaks in Mobile Application Traffic

Shuhui Chen, Shuang Zhao, Biao Han, Xiaoyan Wang
{"title":"Investigating and Revealing Privacy Leaks in Mobile Application Traffic","authors":"Shuhui Chen, Shuang Zhao, Biao Han, Xiaoyan Wang","doi":"10.1109/WD.2019.8734246","DOIUrl":null,"url":null,"abstract":"Mobile devices and applications are playing an important role in people’s daily activities. Although mobile application greatly enriches and facilitates the lives of its users, the users are unconsciously giving away their privacy. In this paper, a mobile traffic analysis tool is proposed to find out what private data is leaked from application network traffic. The analysis process has two steps, including capturing network traffic and analyzing privacy leakage. By applying this tool on traffic from 51 popular applications in China, we show that a lot of private information can be obtained by passively monitoring network traffic, such as location, device information, online behavior, and even personal password. Finally, the measures for mitigating the leakage of private user data are discussed.","PeriodicalId":432101,"journal":{"name":"2019 Wireless Days (WD)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Wireless Days (WD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WD.2019.8734246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Mobile devices and applications are playing an important role in people’s daily activities. Although mobile application greatly enriches and facilitates the lives of its users, the users are unconsciously giving away their privacy. In this paper, a mobile traffic analysis tool is proposed to find out what private data is leaked from application network traffic. The analysis process has two steps, including capturing network traffic and analyzing privacy leakage. By applying this tool on traffic from 51 popular applications in China, we show that a lot of private information can be obtained by passively monitoring network traffic, such as location, device information, online behavior, and even personal password. Finally, the measures for mitigating the leakage of private user data are discussed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
调查和揭示移动应用程序流量中的隐私泄露
移动设备和应用程序在人们的日常活动中扮演着重要的角色。虽然手机应用极大地丰富和便利了用户的生活,但用户也在不知不觉中泄露了自己的隐私。本文提出了一种移动流量分析工具,用于检测应用网络流量中泄露的私有数据。分析过程分为两个步骤,捕获网络流量和分析隐私泄露。通过将该工具应用于中国51个流行应用程序的流量,我们发现通过被动监控网络流量可以获得大量私人信息,例如位置,设备信息,上网行为,甚至个人密码。最后,讨论了减少用户隐私数据泄露的措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Time-Optimized Task Offloading Decision Making in Mobile Edge Computing Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning In-network Predictive Analytics in Edge Computing New Multi-Carrier Candidate Waveform For the 5G Physical Layer of Wireless Mobile Networks Credit-Based Relay Selection Algorithm Using Stackelberg Game
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1