Pixel Perfect : Fingerprinting Canvas in HTML 5
By Keaton Mowery, Hovav Shacham. 2012
334 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9243f5103669bd0e5b29f333f6e1d2246dc0a492
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Arvind Narayanan
- Gunes Acar
- Giovanni Vigna
- Steven Englehardt
- Christopher Krügel
- Nick Nikiforakis
- Marc Juárez
- Angelos Dennis Keromytis
Citations in the corpus
- Online Tracking: A 1-million-site Measurement and Analysis (2016, background): “New fingerprinting techniques are continually discovered [25, 31, 14], and are subsequently used to track users on the web [29, 2, 1].”
- Cookieless Monster: Exploring the Ecosystem of Web-Based Device Fingerprinting (2013, background): “Mowery and Shacham later proposed the use of rendering text and WebGL scenes to a <canvas> element as another way of fingerprinting browsers [39].”
- FPDetective: dusting the web for fingerprinters (2013, background): “Other researchers have proposed the use of performance benchmarks for differentiating between JavaScript engines [15], errors in standard test-suites [17] and differences in the appearance of canvas elements created through JavaScript [16].”
- I am Robot: (Deep) Learning to Break Semantic Image CAPTCHAs (2016, background): “The way that content is rendered across machines and browsers varies, enabling device fingerprinting [7].”
- Anything to Hide? Studying Minified and Obfuscated Code in the Web (2019, background): “We find that many of the obfuscated scripts access APIs that are typically used for tracking, fingerprinting, cookie syncing, or cookie theft.”