HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

FPGuard: Detection and Prevention of Browser Fingerprinting

Abstract : Fingerprinting is an identification method used by enterprises to personalize services for their end-users and detect online fraud or by adversaries to launch targeted attacks. Various tools have been proposed to protect online users from undesired identification probes to enhance the privacy and security of the users. However, we have observed that new fingerprinting methods can easily evade the existing protection mechanisms. This paper presents a runtime fingerprinting detection and prevention approach, called FPGuard. FPGuard relies on the analysis of predefined metrics to identify fingerprinting attempts. While FPGuard’s detection capability is evaluated using the top 10,000 Alexa websites, its prevention mechanism is evaluated against four fingerprinting providers. Our evaluation results show that FPGuard can effectively recognize and mitigate fingerprinting-related activities and distinguish normal from abnormal webpages (or fingerprinters).
Document type :
Conference papers
Complete list of metadata

Cited literature [28 references]  Display  Hide  Download

Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Wednesday, March 28, 2018 - 3:57:25 PM
Last modification on : Monday, December 7, 2020 - 9:44:02 AM
Long-term archiving on: : Thursday, September 13, 2018 - 12:22:16 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Amin Faizkhademi, Mohammad Zulkernine, Komminist Weldemariam. FPGuard: Detection and Prevention of Browser Fingerprinting. 29th IFIP Annual Conference on Data and Applications Security and Privacy (DBSEC), Jul 2015, Fairfax, VA, United States. pp.293-308, ⟨10.1007/978-3-319-20810-7_21⟩. ⟨hal-01745817⟩



Record views


Files downloads