SaTC: Frontiers: Collaborative: Protecting Personal Data Flow on the Internet
SaTC:前沿:协作:保护互联网上的个人数据流
基本信息
- 批准号:1954224
- 负责人:
- 金额:$ 110万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-10-01 至 2021-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Personal data collection typically starts on user devices, with the data then shared with service providers and trackers, obtained by malicious actors, and/or used for surveillance. The services enabled by this data come at the expense of privacy, security, transparency, and fairness, for individuals and society as a whole. Increased public awareness has led to landmark legislation on data protection, such as the EU’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Policymakers need to be further informed by technology, however, to formulate relevant and enforceable policies, and end-users still need tools to protect themselves. This project seeks to protect personal information, by improving the transparency and control of data flow on the Internet, using a multidisciplinary approach that combines methodologies from computer science (theory, network measurement, security) with policy and economics, and crosses multiple application domains (web, mobile, and Internet-of-Things). Conceptual frameworks are developed for personal information flow on the Internet, as well as systems for monitoring and mediation. Existing systems are improved for measuring the tracking and discrimination of personal information, and for explicitly controlling privacy-utility tradeoffs. To provide long-term privacy-by-design alternatives, the project pursues verifiable IoT architectures seeking to decentralize the advertising ecosystem and eliminate intermediaries. The project likewise leverages technology to inform policy specification and to provide tools to audit and enforce policies. The broader impacts of the project include: (1) informing policymakers, nonprofit advocates, and industry players through interactions with relevant stakeholders; (2) training next-generation graduate and undergraduate students jointly in technology and policy; and (3) broadening participation of women, underrepresented minorities, and community college students.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.
个人数据收集通常从用户设备开始,然后与服务提供商和跟踪器共享数据,由恶意行为者获得,和/或用于监视。这些数据所提供的服务是以牺牲个人和整个社会的隐私、安全、透明度和公平为代价的。公众意识的提高导致了具有里程碑意义的数据保护立法,例如欧盟的《通用数据保护条例》(GDPR)和《加州消费者隐私法》(CCPA)。然而,决策者需要进一步了解技术,以制定相关和可执行的政策,最终用户仍然需要工具来保护自己。本项目将计算机科学(理论、网络测量、安全性)的方法论与政策、经济学相结合,并跨越多个应用领域(Web、移动的、物联网),通过多学科方法,提高互联网上数据流的透明度和控制,实现个人信息的保护。为互联网上的个人信息流动以及监测和调解系统制定了概念框架。现有系统被改进用于测量个人信息的跟踪和辨别,以及用于明确地控制隐私-效用权衡。为了提供长期的隐私设计替代方案,该项目追求可验证的物联网架构,寻求分散广告生态系统并消除中介机构。该项目同样利用技术来通知策略规范,并提供审计和执行策略的工具。 该项目的更广泛影响包括:(1)通过与相关利益相关者的互动,为政策制定者,非营利倡导者和行业参与者提供信息;(2)在技术和政策方面联合培训下一代研究生和本科生;以及(3)扩大妇女、代表性不足的少数民族、该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
CV-Inspector: Towards Automating Detection of Adblock Circumvention
CV-Inspector:致力于自动检测 Adblock 规避
- DOI:10.14722/ndss.2021.24055
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Le, Hieu;Markopoulou, Athina;Shafiq, Zubair
- 通讯作者:Shafiq, Zubair
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Zubair Shafiq其他文献
Bumps and Bruises: Mining Presidential Campaign Announcements on Twitter
颠簸和瘀伤:Twitter 上的矿业总统竞选公告
- DOI:
10.1145/3078714.3078736 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Huyen T. Le;G. Boynton;Yelena Mejova;Zubair Shafiq;P. Srinivasan - 通讯作者:
P. Srinivasan
COOKIEGRAPH: Measuring and Countering First-Party Tracking Cookies
COOKIEGRAPH:测量和对抗第一方跟踪 Cookie
- DOI:
10.48550/arxiv.2208.12370 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Shaoor Munir;S. Siby;Umar Iqbal;Steven Englehardt;Zubair Shafiq;C. Troncoso - 通讯作者:
C. Troncoso
Revisiting The American Voter on Twitter
重温推特上的美国选民
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Huyen T. Le;G. Boynton;Yelena Mejova;Zubair Shafiq;P. Srinivasan - 通讯作者:
P. Srinivasan
Scalable News Slant Measurement Using Twitter
使用 Twitter 进行可扩展的新闻倾斜测量
- DOI:
10.1609/icwsm.v11i1.14957 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Huyen T. Le;Zubair Shafiq;P. Srinivasan - 通讯作者:
P. Srinivasan
FP-Inconsistent: Detecting Evasive Bots using Browser Fingerprint Inconsistencies
FP-不一致:使用浏览器指纹不一致检测规避机器人
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Harish Venugopalan;Shaoor Munir;Shuaib Ahmed;Tangbaihe Wang;Samuel T. King;Zubair Shafiq - 通讯作者:
Zubair Shafiq
Zubair Shafiq的其他文献
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{{ truncateString('Zubair Shafiq', 18)}}的其他基金
Collaborative Research: SaTC: CORE: Medium: Defending against Emerging Stateless Web Tracking
协作研究:SaTC:核心:中:防御新兴的无状态网络跟踪
- 批准号:
2138139 - 财政年份:2022
- 资助金额:
$ 110万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Collaborative: The Web Ad Technology Arms Race: Measurement, Analysis, and Countermeasures
SaTC:核心:小型:协作:网络广告技术军备竞赛:测量、分析和对策
- 批准号:
2051592 - 财政年份:2020
- 资助金额:
$ 110万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Collaborative: A Multi-Layer Learning Approach to Mobile Traffic Filtering
SaTC:核心:小型:协作:移动流量过滤的多层学习方法
- 批准号:
2102347 - 财政年份:2020
- 资助金额:
$ 110万 - 项目类别:
Standard Grant
CAREER: Quality of Experience and Network Management in the Encrypted Internet
职业:加密互联网中的体验质量和网络管理
- 批准号:
2103038 - 财政年份:2020
- 资助金额:
$ 110万 - 项目类别:
Continuing Grant
SaTC: Frontiers: Collaborative: Protecting Personal Data Flow on the Internet
SaTC:前沿:协作:保护互联网上的个人数据流
- 批准号:
2103439 - 财政年份:2020
- 资助金额:
$ 110万 - 项目类别:
Continuing Grant
SaTC: CORE: Small: Collaborative: A Multi-Layer Learning Approach to Mobile Traffic Filtering
SaTC:核心:小型:协作:移动流量过滤的多层学习方法
- 批准号:
1815131 - 财政年份:2018
- 资助金额:
$ 110万 - 项目类别:
Standard Grant
CAREER: Quality of Experience and Network Management in the Encrypted Internet
职业:加密互联网中的体验质量和网络管理
- 批准号:
1750175 - 财政年份:2018
- 资助金额:
$ 110万 - 项目类别:
Continuing Grant
SaTC: CORE: Small: Collaborative: The Web Ad Technology Arms Race: Measurement, Analysis, and Countermeasures
SaTC:核心:小型:协作:网络广告技术军备竞赛:测量、分析和对策
- 批准号:
1715152 - 财政年份:2017
- 资助金额:
$ 110万 - 项目类别:
Standard Grant
NeTS: Small: Collaborative Research: Towards Scalable and Energy Efficient Cellular IoT Communication
NeTS:小型:协作研究:迈向可扩展且节能的蜂窝物联网通信
- 批准号:
1617288 - 财政年份:2016
- 资助金额:
$ 110万 - 项目类别:
Standard Grant
TWC: Small: Collaborative: Multipath TCP Side Channel Vulnerabilities and Defenses
TWC:小:协作:多路径 TCP 侧信道漏洞和防御
- 批准号:
1524329 - 财政年份:2015
- 资助金额:
$ 110万 - 项目类别:
Standard Grant
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相似海外基金
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