TrustSplit: usable confidentiality for social network messaging

S. Fahl, M. Harbach, T. Muders, Matthew Smith
{"title":"TrustSplit: usable confidentiality for social network messaging","authors":"S. Fahl, M. Harbach, T. Muders, Matthew Smith","doi":"10.1145/2309996.2310022","DOIUrl":null,"url":null,"abstract":"It is well known that online social networking sites (OSNs) such as Facebook pose risks to their users' privacy. OSNs store vast amounts of users' private data and activities and therefore subject the user to the risk of undesired disclosure. The regular non tech-savvy Facebook user either has little awareness of his privacy needs or is not willing or capable to invest much extra effort into securing his online activities.\n In this paper, we present a non-disruptive and easy to-use service that helps to protect users' most private information, namely their private messages and chats against the OSN provider itself and external adversaries. Our novel Confidentiality as a Service paradigm was designed with usability and non-obtrusiveness in mind and requires little to no additional knowledge on the part of the users. The simplicity of the service is achieved through a novel trust splitting approach integrated into the Confidentiality as a Service paradigm. To show the feasibility of our approach we present a fully-working prototype for Facebook and an initial usability study. All of the participating subjects completed the study successfully without any problems or errors and only required three minutes on average for the entire installation and setup procedure.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"110 1","pages":"145-154"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2309996.2310022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

It is well known that online social networking sites (OSNs) such as Facebook pose risks to their users' privacy. OSNs store vast amounts of users' private data and activities and therefore subject the user to the risk of undesired disclosure. The regular non tech-savvy Facebook user either has little awareness of his privacy needs or is not willing or capable to invest much extra effort into securing his online activities. In this paper, we present a non-disruptive and easy to-use service that helps to protect users' most private information, namely their private messages and chats against the OSN provider itself and external adversaries. Our novel Confidentiality as a Service paradigm was designed with usability and non-obtrusiveness in mind and requires little to no additional knowledge on the part of the users. The simplicity of the service is achieved through a novel trust splitting approach integrated into the Confidentiality as a Service paradigm. To show the feasibility of our approach we present a fully-working prototype for Facebook and an initial usability study. All of the participating subjects completed the study successfully without any problems or errors and only required three minutes on average for the entire installation and setup procedure.
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
TrustSplit:用于社交网络消息传递的可用机密性
众所周知,像Facebook这样的在线社交网站会给用户的隐私带来风险。osn存储了大量用户的私人数据和活动,因此使用户面临不希望被披露的风险。一般不懂技术的Facebook用户要么很少意识到自己的隐私需求,要么不愿意或没有能力投入更多额外的精力来保护自己的在线活动。在本文中,我们提供了一种非破坏性且易于使用的服务,有助于保护用户的最私人信息,即他们的私人消息和聊天记录免受OSN提供商本身和外部对手的攻击。我们新颖的机密性即服务范式在设计时考虑了可用性和非突兀性,并且几乎不需要用户的额外知识。服务的简单性是通过集成到保密性即服务范例中的新颖信任分离方法实现的。为了证明我们的方法的可行性,我们展示了一个完整的Facebook原型和初步的可用性研究。所有参与者都成功完成了研究,没有任何问题或错误,整个安装和设置过程平均只需要三分钟。
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
HT '22: 33rd ACM Conference on Hypertext and Social Media, Barcelona, Spain, 28 June 2022- 1 July 2022 HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021 - 2 September 2021 HT '20: 31st ACM Conference on Hypertext and Social Media, Virtual Event, USA, July 13-15, 2020 Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides. QualityRank: assessing quality of wikipedia articles by mutually evaluating editors and texts
×
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