TrackSign-labeled web tracking dataset

Recent studies [8] show that more than 95% of the websites available on Internet contain at least one so-called web tracking systems. These systems are specialized in identifying their users by means a plethora different methods. Some them (e.g., cookies) very well known most users. However, percentage including "obscure" and privacy-threatening systems, such as fingerprinting methods user's computer, is constantly increasing. Detecting those today's difficult, almost any website modifies its content dynamically minimizes code order to speed up loading times. This minimization dynamicity render unreadable humans. Thus, research community looking for new ways discover unknown running under hood. In this paper, we present dataset containing information 76 million URLs 45 online resources, extracted from 1.5 popular websites. The labeling process was done using state-of-the-art discovery algorithm called TrackSign [8]. also contains about security relation between domains, loaded URLs, resource behind each URL. can be useful kinds experiments, locating threats, or determining characteristics URL network graph.