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Collaborative Research: SaTC: CORE: Medium: Defending against Emerging Stateless Web Tracking

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
负责人:
Zubair Shafiq
金额:
$40.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-06-15 至 2026-05-31

项目摘要

项目成果

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中文摘要
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英文摘要
The web is continuously evolving to support new features and accommodate the constantly-changing demands of users and web applications. At the same time, the online behavioral advertising ecosystem exploits these emerging features for privacy-invasive tracking of web users. Traditionally, tracking on the web has been abusing browser features such as cookies, but new advanced web tracking techniques (browser fingerprinting) are emerging. Browser fingerprinting techniques capitalize on users having subtle differences in their browser configurations that make them identifiable. The project’s novelties are to advance the current state of knowledge of web tracking and how we can defend against it. The project's broader significance and importance are to enhance the privacy of millions of users by improving countermeasures against web tracking that can be deployed in mainstream and privacy-focused web browsers. The main goal of this project is to fundamentally change the detection and defense against stateless web tracking. Unlike prior work that relies on manual or ad-hoc approaches, this project takes a principled approach that leverages browser instrumentation to build signatures of usage of web APIs, the building blocks of browser fingerprinting. The project builds machine learning techniques to improve stateless tracking detection and to quantify the privacy risks of different web APIs. Furthermore, the state-of-the-art approaches to counter stateless tracking are ineffective and brittle in the face of adversarial tactics and also degrade user experience due to their coarse-grained and opaque nature. This project mitigates fingerprinting behavior with fine-grained techniques and infers the intent behind the usage of web APIs, thus enforcing the right mitigation at the right time to minimize the breakage of legitimate functionality. The project also makes the machine learning decisions explainable to better inform users and browser vendors of the progress of stateless tracking on the web.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(3)
专著(0)
科研奖励(0)
会议论文
DOI: --
发表时间: 2022-02
期刊:
影响因子: --
作者: [Hieu Le;Salma Elmalaki;A. Markopoulou;Zubair Shafiq]
通讯作者: Hieu Le;Salma Elmalaki;A. Markopoulou;Zubair Shafiq
Blocking JavaScript without Breaking the Web
在不破坏网络的情况下阻止 JavaScript
DOI: --
发表时间: 2023
期刊: Privacy Enhancing Technologies Symposium (PETS
影响因子: --
作者: [Abdul Haddi Amjad, Zubair Shafiq, Muhammad Ali Gulzar]
通讯作者: Muhammad Ali Gulzar
CookieGraph: Understanding and Detecting First-Party Tracking Cookies
CookieGraph:理解和检测第一方跟踪 Cookie
DOI: --
发表时间: 2023
期刊: ACM Conference on Computer and Communications Security (CCS
影响因子: --
作者: [Shaoor Munir, Sandra Siby, Umar Iqbal, Steven Englehardt, Zubair Shafiq, Carmela Troncoso]
通讯作者: Carmela Troncoso
SaTC: CORE: Small: Collaborative: The Web Ad Technology Arms Race: Measurement, Analysis, and Countermeasures
  • 批准号:
    2051592
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2020
  • 负责人:
    Zubair Shafiq
  • 依托单位:
SaTC: CORE: Small: Collaborative: A Multi-Layer Learning Approach to Mobile Traffic Filtering
  • 批准号:
    2102347
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.75万
  • 财政年份:
    2020
  • 负责人:
    Zubair Shafiq
  • 依托单位:
CAREER: Quality of Experience and Network Management in the Encrypted Internet
  • 批准号:
    2103038
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2020
  • 负责人:
    Zubair Shafiq
  • 依托单位:
SaTC: Frontiers: Collaborative: Protecting Personal Data Flow on the Internet
  • 批准号:
    2103439
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $110.0万
  • 财政年份:
    2020
  • 负责人:
    Zubair Shafiq
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)