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Area Engineering

Empirical comparison of anti-tracking browser extensions

keywords EXPERIMENTAL ACTIVITY, PRIVACY, TRACKING, WEB TECHNOLOGIES

Reference persons ANTONIO VETRO'

Research Groups DAUIN - GR-16 - SOFTWARE ENGINEERING GROUP - SOFTENG, DAUIN - GR-22 - Nexa Center for Internet & Society - NEXA

Thesis type DATA ANALYSIS, RESEARCH / EXPERIMENTAL, SOFTWARE DEVELOPMENT

Description User tracking has become massive on the web and several anti-tracking browser extensions have been developed to help people protecting their privacy while surfing the web (e.g., DuckDuckGo, uBlock Origin, Ghostery, etc.). The main goal of the thesis work is to empirically evaluate and compare their effectiveness on different browsers, different categories of websites and different (simulated) locations. Further experimentations with anti-tracking tools for mobile apps might also be included.

Required skills The thesis requires very good knowledge of web applications and good capabilities of data analysis. Grade point average equal to or higher than 26 can play a relevant role in the selection.

Notes When sending your application, we kindly ask you to attach the following information:

- list of exams taken in you master degree, with grades and the grade point average
- a résumé or equivalent (e.g., linkedin profile), if you already have one
- by when you aim to graduate and an estimate of the time you can devote to the thesis in a typical week


Deadline 30/11/2023      PROPONI LA TUA CANDIDATURA




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