{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:56Z","timestamp":1750220396818,"version":"3.41.0"},"reference-count":50,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2021,4,22]],"date-time":"2021-04-22T00:00:00Z","timestamp":1619049600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Web"],"published-print":{"date-parts":[[2021,5,31]]},"abstract":"<jats:p>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 \u201ccertificates,\u201d Alibi is capable of creating meta-profiles that allow for rapid and inexpensive validation of users\u2019 uniqueness, thereby enabling an Internet-wide Sybil defense service.<\/jats:p>\n          <jats:p>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.<\/jats:p>","DOI":"10.1145\/3450444","type":"journal-article","created":{"date-parts":[[2021,4,22]],"date-time":"2021-04-22T22:04:15Z","timestamp":1619129055000},"page":"1-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Utilizing Web Trackers for Sybil Defense"],"prefix":"10.1145","volume":"15","author":[{"given":"Marcel","family":"Flores","sequence":"first","affiliation":[{"name":"Northwestern University, Evanston, IL"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Kahn","sequence":"additional","affiliation":[{"name":"Northwestern University, Evanston, IL"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Warrior","sequence":"additional","affiliation":[{"name":"Northwestern University, Evanston, IL"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan","family":"Mislove","sequence":"additional","affiliation":[{"name":"Northeastern University, Boston, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aleksandar","family":"Kuzmanovic","sequence":"additional","affiliation":[{"name":"Northwestern University, Boston, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,4,22]]},"reference":[{"volume-title":"Retrieved","year":"2012","author":"Enterprise Black","key":"e_1_2_1_1_1"},{"key":"e_1_2_1_2_1","article-title":"New Google privacy policy allows even more access to personal information","author":"Press Associated","year":"2012","journal-title":"Fox News. 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