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 contribution | Browser user tracking based on cross-domain resource access |
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Original language | Chinese (Simplified) |
Pages (from-to) | 1254-1259 |
Number of pages | 6 |
Journal | Qinghua Daxue Xuebao/Journal of Tsinghua University |
Volume | 61 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2021 |
Keywords
- Attacker localization
- Click fraud
- Multilocalization pings
- User identification
ASJC Scopus subject areas
- General Engineering
- Computer Science Applications
- Applied Mathematics