Name
Abstract | ||
|---|---|---|
AbstractUser 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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3450444 | ACM Transactions on the Web |
Keywords | DocType | Volume |
User tracking, recommendation engines, Sybil attacks | Journal | 15 |
Issue | ISSN | Citations |
2 | 1559-1131 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcel Flores | 1 | 61 | 6.74 |
| Andrew Kahn | 2 | 0 | 0.34 |
| Marc Anthony Warrior | 3 | 0 | 0.34 |
| Alan Mislove | 4 | 4671 | 255.18 |
| Aleksandar Kuzmanovic | 5 | 960 | 71.99 |