社交网站中用户隐私设置行为的隐私增强

Abdulhadi Alqarni, S. Sampalli
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引用次数: 5

摘要

社交网站(sns)是一种允许用户创建个人资料、与朋友或公众互动、分享照片和短视频等数据的应用程序。这些个人信息泄露的数量引发了人们对社交网站隐私的担忧。用户对隐私的态度和分享行为是不一致的,因为他们关心隐私,但继续分享个人信息。此外,现有的隐私设置不够灵活,无法防范隐私风险。在本文中,我们提出了一个新的模型,称为隐私设置模型(PSM),它可以引导用户理解、控制和更新社交网站的隐私设置。我们相信该模型将增强他们对社交网站隐私设置的隐私行为,降低隐私风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy-Enhancing of User's Behaviour Toward Privacy Settings in Social Networking Sites
Social Networking Sites (SNSs) are applications that allow users to create personal profiles to interact with friends or public and to share data such as photos and short videos. The amount of these personal disclosures has raised issues and concerns regarding SNSs' privacy. Users' attitudes toward privacy and their sharing behaviours are inconsistent because they are concerned about privacy, but continue sharing personal information. Also, the existing privacy settings are not flexible enough to prevent privacy risks. In this paper, we propose a novel model called Privacy Settings Model (PSM) that can lead users to understand, control, and update SNSs' privacy settings. We believe that this model will enhance their privacy behaviours toward SNSs' privacy settings and reduce privacy risks.
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