FPGuard: Detection and Prevention of Browser Fingerprinting - Data and Applications Security and Privacy XXIX Access content directly
Conference Papers Year : 2015

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).
Fichier principal
Vignette du fichier
340025_1_En_21_Chapter.pdf (340.88 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01745817 , version 1 (28-03-2018)

Licence

Attribution

Identifiers

Cite

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⟩
563 View
864 Download

Altmetric

Share

Gmail Facebook X LinkedIn More