adF: A Novel System for Measuring Web Fingerprinting through Ads
Miguel A. Bermejo-Agueda (1)Patricia Callejo (12)Rub\'en Cuevas (12)\'Angel Cuevas (12) ((1) Universidad Carlos III de Madrid(2) uc3m-Santander Big Data Institute)
Miguel A. Bermejo-Agueda (1)Patricia Callejo (12)
(2) uc3m-Santander Big Data Institute)
This paper introduces adF, a novel system for analyzing the vulnerability of different devices, Operating Systems (OSes), and browsers to web fingerprinting. adF performs its measurements from code inserted in ads. We have used our system in several ad campaigns that delivered 5,40 million ad impressions. The collected data enable us to assess the vulnerability of current desktop and mobile devices to web fingerprinting. Based on our results, we estimate that 64% of desktop devices and 40% of mobile devices can be uniquely fingerprinted with our web fingerprinting system. However, the resilience to web fingerprinting varies significantly across browsers and device types, with Chrome on desktops being the most vulnerable configuration.