Evidence map›Paper›PMID 41094154›Full record

ArticleScientific reports2025

Browsing behavior exposes identities on the Web.

Marcos Oliveira, Junran Yang, Daniel Griffiths, Denis Bonnay, Juhi Kulshrestha

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Marcos OliveiraComputer Science, University of Exeter, Exeter, UK. m.a.oliveira@vu.nl.
Junran YangComputer Science, Aalto University, Espoo, Finland.
Daniel GriffithsComputer Science, University of Exeter, Exeter, UK.
Denis BonnayUniversité Paris Nanterre, Paris, France. denis.bonnay@parisnanterre.fr.
Juhi KulshresthaComputer Science, Aalto University, Espoo, Finland. juhi.kulshrestha@aalto.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How easy is it to uniquely identify a person based solely on their web browsing behavior? Here we show that when people navigate the Web, their online browsing traces produce fingerprints that identify them. Merely the four most visited web domains are enough to identify 95% of the individuals. These behavioral fingerprints are stable enough to enable high short-term re-identifiability: we demonstrate that we can re-identify 80% of the individuals in contiguous time slices of data. Our results thus show that what is perhaps the most basic feature of our online habits-namely, which sites we visit most often-is highly unique. Such a privacy threat persists even with limited information about individuals' browsing behavior, reinforcing existing concerns around online privacy.

Indexed as

InternetHumansPrivacy

Identifiers

PMID41094154
PMCPMC12528657

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.