[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 <em>nbTimes</em> domainTags.csv: For each website, it provides its category and country tag. webpageTags.csv: For each webpage, it provides its type. fingerprinters.zip/&lt;filenumber&gt;.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 &lt;filenumber&gt; 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.本文件为论文《FP-Redemption：为网络安全考量评估浏览器指纹追踪（Browser Fingerprinting）的应用情况》配套的完整数据集。本次共提供5个文件： 1. dataset.csv：存储网页浏览过程中采集的原始元素。每条记录对应某一网页上的某脚本通过某一组参数访问某一属性的操作。同一属性在相同参数组合下可被多次访问，访问次数以字段<em>nbTimes</em>记录。 2. domainTags.csv：针对每个网站，提供其分类标签与国家标签。 3. webpageTags.csv：针对每个网页，提供其类型标签。 4. fingerprinters.zip/&lt;filenumber&gt;.js：本研究使用的指纹追踪脚本文件。本次共请求调取199个指纹追踪脚本，其中7个未能获取，最终共得到192个JavaScript文件。 5. mapping.csv：该文件为三列格式的CSV文件：第一列列出本算法检测到的199个指纹追踪器；第二列提供用于关联指纹追踪器与其目录下对应文件的<filenumber>；第三列标注该指纹追踪器所属的分组。默认情况下每个指纹追踪器自成一组，但经评估存在重复项，因此部分指纹追踪器会归入同一分组。本数据集所测得的独立分组总数，即实际独立指纹追踪器的数量，为169。