EAGER: By the People, For the People: Community Ratings for App Privacy

EAGER：由人民，为人民：应用程序隐私的社区评级

• 批准号: 1449236
• 负责人: Shriram Krishnamurthi
• 金额: $ 14.8万
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2017-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1449236&HistoricalAwards=false
• 关键词: EAGER; People; Community; Ratings; App

Application stores use sophisticated user interfaces to help users understand the permissions sought by applications. Unfortunately, these interfaces are complex and may fail to address their goal of helping users give informed consent. As a result, users may inadvertently surrender private information or open themselves up to security attacks.This project tackles the problem of improving the nature of information provided by these interfaces. It focuses both on new interface designs that will better represent this information, and on techniques to bootstrap the provision of that information. On the user interface side, it designs new interfaces that help untrained users recognize the security and privacy consequences of the sought permissions. To populate this information, it posits the use of crowdsourcing to obtain information at scale about the suitability of permissions. The goal is to eventually populate an application store with this information to encourage adoption and additional feedback from users. The project will study how effectively and accurately crowdsourcing can be used to gather this information.

应用程序商店使用复杂的用户界面来帮助用户了解应用程序所寻求的权限。不幸的是，这些界面很复杂，可能无法实现帮助用户知情同意的目标。因此，用户可能无意中交出私人信息或将自己暴露在安全攻击之下。这项计划旨在解决改善这些界面提供的信息的性质的问题。它既关注将更好地表示该信息的新的界面设计，也关注引导该信息的提供的技术。在用户界面方面，它设计了新的界面，帮助未经培训的用户认识到所寻求权限的安全和隐私后果。为了填充这些信息，它假定使用众包来获得关于权限适宜性的大规模信息。我们的目标是最终用这些信息填充应用程序商店，以鼓励采用和来自用户的其他反馈。该项目将研究如何有效和准确地使用众包来收集这些信息。