NDSS 2017: (Cross-)Browser Fingerprinting via OS and Hardware Level Features

Video taken during the Network and Distributed System Security (NDSS) Symposium 2017, held February 26 through March 1, 2017, at Catamaran Resort Hotel & Spa in San Diego, California.

(Cross-)Browser Fingerprinting via OS and Hardware Level Features

In this paper, we propose a browser fingerprinting technique that can track users not only within a single browser but also across different browsers on the same machine. Specifically, our approach utilizes many novel OS and hardware level features, such as those from graphics cards, CPU, and installed writing scripts. We extract these features by asking browsers to perform tasks that rely on corresponding OS and hardware functionalities.
Our evaluation shows that our approach can successfully identify 99.24% of users as opposed to 90.84% for state of the art on single-browser fingerprinting against the same dataset. Further, our approach can achieve higher uniqueness rate than the only cross-browser approach in the literature with similar stability.

Authors: Yinzhi Cao (Lehigh University), Song Li (Lehigh University), Erik Wijmans (Washington University in St. Louis)

Видео NDSS 2017: (Cross-)Browser Fingerprinting via OS and Hardware Level Features канала NDSS Symposium