SLEUTH: Single-pubLisher attack dEtection Using correlaTion Hunting
Summary: SLEUTH detects single-publisher click fraud distributed across many machines by hunting correlations in high-cardinality multidimensional traffic data. Its approximate algorithms make this otherwise huge search tractable, with validated discoveries in the Fastclick advertising network. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Ahmed Metwally (University of California Santa Barbara)
- 2. Fatih Emekci (LinkedIn)
- 3. Divyakant Agrawal (University of California Santa Barbara)
- 4. Amr El Abbadi (University of California Santa Barbara)
BibTeX Citation
@article{metwally_vldb08,
title = {{SLEUTH: Single-pubLisher attack dEtection Using correlaTion Hunting}},
author = {Metwally, Ahmed and Emekci, Fatih and Agrawal, Divyakant and Abbadi, Amr El},
journal = {PVLDB},
series = {{VLDB} '08},
volume = {1},
number = {1},
pages = {1217--1228},
doi = {10.14778/1454159.1454161},
url = {https://doi.org/10.14778/1454159.1454161},
year = {2008}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,421 | V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors | 2012 | VLDB | 0.00010726757 |
| 7,914 | GeoScope: Online Detection of Geo-Correlated Information Trends in Social Networks | 2014 | VLDB | 5.4277245e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 124 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00030600691 |
| 858 | What’s Hot and What’s Not: Tracking Most Frequent Items Dynamically | 2003 | PODS | 0.000134266 |
| 4,348 | Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data | 2004 | SIGMOD | 6.6469144e-05 |
| 5,157 | Finding Hierarchical Heavy Hitters in Data Streams | 2003 | VLDB | 6.2494766e-05 |
| 13,045 | Using Association Rules for Fraud Detection in Web Advertising Networks | 2005 | VLDB | 4.9793485e-05 |
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