Utilizing Web Trackers for Sybil Defense
| Autor: | Alan Mislove, Aleksandar Kuzmanovic, Marc Anthony Warrior, Andrew Kahn, Marcel Flores |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | ACM Transactions on the Web. 15:1-19 |
| ISSN: | 1559-114X 1559-1131 |
| Popis: | User tracking has become ubiquitous practice on the Web, allowing services to recommend behaviorally targeted content to users. In this article, we design Alibi, a system that utilizes such readily available personalized content, generated by recommendation engines in real time, as a means to tame Sybil attacks. In particular, by using ads and other tracker-generated recommendations as implicit user “certificates,” Alibi is capable of creating meta-profiles that allow for rapid and inexpensive validation of users’ uniqueness, thereby enabling an Internet-wide Sybil defense service. We demonstrate the feasibility of such a system, exploring the aggregate behavior of recommendation engines on the Web and demonstrating the richness of the meta-profile space defined by such inputs. We further explore the fundamental properties of such meta-profiles, i.e., their construction, uniqueness, persistence, and resilience to attacks. By conducting a user study, we show that the user meta-profiles are robust and show important scaling effects. We demonstrate that utilizing even a moderate number of popular Web sites empowers Alibi to tame large-scale Sybil attacks. |
| Databáze: | OpenAIRE |
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