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|Title:||Cracking Open the Black Box of Online Advertising to Obtain User Browsing Histories|
|Abstract:||The collection of personal data in targeted advertising raises privacy concerns. In this paper, we explore single-user targeting and exploit advertiser capabilities to obtain user browsing histories. We investigate the features of 57 demand-side platforms, develop a threat model, and implement a proof-of-concept attack. We find that our attack is successful on 52.6% of Alexa Top 200 sites that sell ad space. We demonstrate that by selling ads, publishers inadvertently sell user data.|
|Type of Material:||Princeton University Senior Theses|
|Appears in Collections:||Computer Science, 1988-2020|
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