TC: Small: Collaborative Research: Improved Privacy though Exposure Control

TC：小：协作研究：通过曝光控制改善隐私

• 批准号: 1016603
• 负责人: Apu Kapadia
• 金额: $ 27万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1016603&HistoricalAwards=false
• 关键词: TC; Small; Collaborative; Research; Improved

With the advent of sensor-rich mobile devices such as smartphones, an increasing number of people are sharing personal "contextual" information like location, activity, and health/fitness information with members of their social network. To enhance privacy for people sharing such information, a large body of research has focused on ways for users to specify who should be authorized to access their information. This research improves end-user privacy by addressing the related question of "Who is accessing my information and to what extent?". Providing users with an accurate sense of their "exposure" will enable them to better control how their contextual information is shared and will help mitigate emerging privacy risks.This research advances the state of the art in privacy by formalizing the notion of exposure-awareness research, and by investigating metrics that can be used to quantify a person?s exposure, developing usable feedback models and visualizations that leverage these metrics to convey exposure, and creating exposure control extensions to established policy architectures to help users control exposure and refine their data sharing policies over time. The proposed research will thus allow ordinary people to proactively rein in the amount of personal information shared online, and will reduce the privacy risks for the large population of users who are increasingly using social-networking applications to share personal contextual information.

随着智能手机等富含传感器的移动设备的出现，越来越多的人与社交网络的成员共享个人“上下文”信息，例如位置、活动和健康/健身信息。 为了增强共享此类信息的人的隐私，大量研究集中在用户指定谁应该被授权访问其信息的方法上。这项研究通过解决“谁在访问我的信息以及访问程度如何？”的相关问题来改善最终用户的隐私。为用户提供对其“暴露”的准确认识将使他们能够更好地控制其上下文信息的共享方式，并有助于减轻新出现的隐私风险。这项研究通过形式化暴露意识研究的概念，推进了隐私领域的最新技术，并通过调查可用于量化个人暴露的指标，开发可用的反馈模型和可视化，利用这些指标来传达暴露，并为已建立的策略架构创建暴露控制扩展，以帮助用户控制暴露并完善其数据共享随着时间的推移政策。 因此，拟议的研究将允许普通人主动控制在线共享的个人信息量，并将减少越来越多地使用社交网络应用程序共享个人上下文信息的大量用户的隐私风险。