Privacy Pioneer: Creating an Automated Data-Privacy UI for Web Browsers

Document
Document

Few mechanisms have been developed to clearly communicate data collection practices by websites to users at scale. We address this problem through automatically analyzing web traffic and creating usable privacy labels akin to nutrition labels. A proof-of-concept browser extension, Privacy Pioneer, is implemented to demonstrate the practical viability. At the browser-level, we can devise automated privacy analysis techniques that run locally while a user engages with the web. We then present analysis findings in a simple UI. In creating privacy labels for the web, we follow a shift towards privacy labels by the major operating systems iOS and Android. Packing a privacy analysis into a browser is a novel problem that requires working within its constraints and solving challenges of analysis accuracy, performance, and access to user data, among others.

    Item Description
    Name(s)
    Date
    April 15, 2022
    Extent
    82 pages
    Language
    eng
    Genre
    Physical Form
    electronic
    Discipline
    Rights and Use
    In Copyright – Non-Commercial Use Permitted
    Digital Collection