Automated Browser Feature Testing for Uncovering Tracking Vectors
www.ndss-symposium.org › ndss-paper
In this paper we develop CanITrack, an automated, mechanism-agnostic framework for testing browser features and uncovering novel tracking vectors.
Feb 27, 2023 · Navigating Murky Waters: Automated Browser. Feature Testing for Uncovering Tracking Vectors. Mir Masood Ali†, Binoy Chitale‡, Mohammad ...
Duration: 17:56
Posted: Oct 4, 2023
Posted: Oct 4, 2023
[PDF] Automated Browser Feature Testing for Uncovering Tracking Vectors
par.nsf.gov › servlets › purl
It considers the minimum tests required to write and read a 32-bit identifier. These redirection chains can be traversed as both top-level redirections (i.e., ...
Navigating Murky Waters: Automated Browser Feature Testing for Uncovering Tracking Vectors. MM Ali, B Chitale, M Ghasemisharif, C Kanich, N Nikiforakis, J ...
Navigating Murky Waters: Automated Browser Feature Testing for Uncovering Tracking Vectors. NDSS Symposium 2023. Modern web browsers constitute complex ...
An automated testing framework that evaluates browser mechanisms for potential misuse as tracking vectors. - masood/canitrack.
4: Overhead of the read and write phases using the Private State Token. Navigating Murky Waters: Automated Browser Feature Testing for Uncovering Tracking ...
... Navigating Murky Waters: Automated Browser Feature Testing for Uncovering Tracking Vectors,” in Proceedings of NDSS, 2023. ChangSeok Oh, Chris Kanich, Damon ...
Navigating Murky Waters: Automated Browser Feature Testing for Uncovering Tracking Vectors. MM Ali, B Chitale, M Ghasemisharif, C Kanich, N Nikiforakis, J ...