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CRII: SaTC: Improving the Usability and Effectiveness of Security and Privacy Settings in Mobile Apps

CRII: SaTC: Improving the Usability and Effectiveness of Security and Privacy Settings in Mobile Apps
CRII:SaTC:提高移动应用程序中安全和隐私设置的可用性和有效性
批准号:
1850479
负责人:
Yuan Tian
金额:
$17.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-06-01 至 2021-05-31

项目摘要

项目成果

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中文摘要
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英文摘要
Mobile users hold people's sensitive information such as passwords, locations, and health information. Users are permitted to control the use of some of this information by configuring their privacy settings in the apps they use. These settings, however, are often difficult to locate and understand, even in popular apps such as Facebook. Moreover, the settings are often set to share user data by default, exposing personal data without users' explicit consent. The goal of the project is to develop an automatic tool to identify the security and privacy settings embedded in mobile apps, to identify usability and security problems in using the settings and controlling privacy, and to develop a single, centralized method of presenting and enforcing user settings such that users do not need to hunt for settings and controls to protect their privacy. The outcome of the research will improve the security and privacy of mobile consumers. To accomplish the goal, the project combines techniques from program analysis, human-computer interaction, and machine learning. The investigation will include empirical studies to understand users' perspectives on existing security and privacy settings, and test the specific usability problems with currently available settings. The research will also develop a method for identifying and extracting security and privacy settings through natural language processing and program analysis. Using these insights, the research will enable a usable centralized interface for people to configure their security and privacy settings. This work will provide insights for building usable security and privacy settings for mobile platforms, as well as for emerging platforms in the Internet of Things. This project will engage a diverse group of undergraduate and graduate students to develop their interest and expertise in cybersecurity, privacy, and methods for user control.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: --
发表时间: 2019-08
期刊: ArXiv
影响因子: --
作者: [Fnu Suya;Jianfeng Chi;David Evans;Yuan Tian]
通讯作者: Fnu Suya;Jianfeng Chi;David Evans;Yuan Tian
DOI: 10.1109/ase.2019.00036
发表时间: 2019-11
期刊: 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)
影响因子: --
作者: [Tamjid Al Rahat;Yu Feng;Yuan Tian]
通讯作者: Tamjid Al Rahat;Yu Feng;Yuan Tian
DOI: 10.14722/ndss.2020.24287
发表时间: 2020
期刊:
影响因子: --
作者: [F. H. Shezan;Kaiming Cheng;Zhen Zhang;Yinzhi Cao;Yuan Tian]
通讯作者: F. H. Shezan;Kaiming Cheng;Zhen Zhang;Yinzhi Cao;Yuan Tian
DOI: --
发表时间: 2021-02
期刊: ArXiv
影响因子: --
作者: [Jianfeng Chi;Yuan Tian;Geoffrey J. Gordon;Han Zhao]
通讯作者: Jianfeng Chi;Yuan Tian;Geoffrey J. Gordon;Han Zhao
Collaborative Research: Frameworks: MobilityNet: A Trustworthy CI Emulation Tool for Cross-Domain Mobility Data Generation and Sharing towards Multidisciplinary Innovations
Collaborative Research: DASS: Assessing the Relationship Between Privacy Regulations and Software Development to Improve Rulemaking and Compliance
Collaborative Research: SaTC: CORE: Medium: Toward safe, private, and secure home automation: from formal modeling to user evaluation
CICI: RDP: Enforcing Security and Privacy Policies to Protect Research Data
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