基于跨域资源访问的浏览器用户追踪

Translated title of the contribution: Browser user tracking based on cross-domain resource access

Yubo Song, Tianqi Wu, Aiqun Hu, Shang Gao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

In recent years, click fraud has caused huge economic losses to advertisers. Many advertisers have then used "user profiles" to identify users to eliminate click fraud. However, attackers can easily construct unique virtual operating environments to confuse the identification algorithms. This paper introduces a localization scheme to detect click fraud sources based on cross-domain resource access. This scheme extracts features from a ping response delay series to fingerprint users. Tests show that the delay features collected by this method are stable with a fingerprint localization accuracy of up to 98%.

Translated title of the contributionBrowser user tracking based on cross-domain resource access
Original languageChinese (Simplified)
Pages (from-to)1254-1259
Number of pages6
JournalQinghua Daxue Xuebao/Journal of Tsinghua University
Volume61
Issue number11
DOIs
Publication statusPublished - Nov 2021

Keywords

  • Attacker localization
  • Click fraud
  • Multilocalization pings
  • User identification

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Applied Mathematics

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