[Dataset] FP-Redemption: Measuring Browser Fingerprinting Adoption for the Sake of Web Security

Full dataset for the paper "FP-Redemption: Measuring Browser Fingerprinting Adoption for the Sake of Web Security"

5 files are provided:

• dataset.csv. The raw elements collected when browsing the web. Each entry corresponds to one attribute being accessed with one parameter combination by one script on one webpage. A single attribute with the same parameters can be accessed several times. It is represented with the key nbTimes
• domainTags.csv: For each website, it provides its category and country tag.
• webpageTags.csv: For each webpage, it provides its type.
• fingerprinters.zip/<filenumber>.js: Our fingerprinters. Out of the 199 we requested, 7 are missing, leading in 192 js files.
• mapping.csv. 3 columns CSV file:
  • The first one lists the 199 fingerprinters detected by our algorithm.
  • The second one gives the <filenumber> used to link a fingerprinter and its file in the directory.
  • The third one gives the groups the fingerprinters belongs to. By default, each fingerprinter belongs to his own group. However, several fingerprinters are belonging to the same group as we evaluate there were duplicates. Thus, the number of distinct groups corresponds to the distinct fingerprinters we measured in our dataset: 169.