Browser Fingerprinting

Combatting Browser Fingerprinting with ChromeDust

Browser Randomisation against Fingerprinting: A Quantitative Information Flow Approach

Web tracking companies use device fingerprinting to distinguish the users of the websites by checking the numerous properties of their machines and web browsers. One way to protect the users’ privacy is to make them switch between different machine and browser configurations. We propose a formalisation of this privacy enforcement mechanism. We use information-theoretic channels to model the kno...

User Tracking on the Web via Cross-Browser Fingerprinting

The techniques of tracking users through their web browsers have greatly evolved since the birth of the World Wide Web, posing an increasingly significant privacy risk. An important branch of these methods, called fingerprinting, is getting more and more attention, because it does not rely on client-side information storage, in contrast to cookie-like techniques. In this paper, we propose a new...

FP-Block: Usable Web Privacy by Controlling Browser Fingerprinting

Online tracking of users is used for benign goals, such as detecting fraudulent logins, but also to invade user privacy. We posit that for non-oppressed users, tracking within one website does not have a substantial negative impact on privacy, while it enables legitimate benefits. In contrast, cross-domain tracking negatively impacts user privacy, while being of little benefit to the user. Exis...

XSS-FP: Browser Fingerprinting using HTML Parser Quirks

There are many scenarios in which inferring the type of a client browser is desirable, for instance to fight against session stealing. This is known as browser fingerprinting. This paper presents and evaluates a novel fingerprinting technique to determine the exact nature (browser type and version, eg Firefox 15) of a web-browser, exploiting HTML parser quirks exercised through XSS. Our experim...