Ali Akhavani
Ali Akhavani
Home
Publications
Selected Projects
Download CV
Light
Dark
Automatic
Ad Retargeting
PriveShield: Enhancing User Privacy Using Automatic Isolated Profiles in Browsers
PriveShield creates isolated profiles for clients based on their browsing history, interactions with websites, and the amount of time they spend on specific websites. This allows the users to easily prevent unwanted browsing information from being shared with third parties and ad exchanges without the need for manual configuration. Our evaluation results from 54 real-world scenarios show that our extension is effective in preventing retargeted ads in 91% of those scenarios.
Seyed Ali Akhavani
,
Engin Kirda
,
Amin Kharraz
Last updated on Oct 29, 2024
Browserprint: An Analysis of the Impact of Browser Features on Fingerprintability and Web Privacy
The evolution of increasingly more complicated web applications relies on browsers constantly adding and removing features. At the same time, some of these web services use browser fingerprinting to track and profile their users with clear disregard for their web privacy. In this paper, we perform an empirical analysis of browser features evolution and aim to evaluate browser fingerprintability.
Seyed Ali Akhavani
,
Jordan Jueckstock
,
Junhua Su
,
Alexandros Kapravelos
,
Engin Kirda
,
Long Lu
Last updated on Oct 29, 2024
PDF
Code
Slides
Cite