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Fraud & invalid traffic · also called Browser fingerprinting

Device fingerprinting

Device fingerprinting identifies a device by combining many small technical traits, such as screen size, fonts and browser version, into one recognisable signature.

The short answer, from the The Arbitrage Desk glossary

No single setting identifies a device, but the combination often does: operating system, browser build, screen dimensions, time zone, language, graphics hardware and dozens more. Together these form a fingerprint.

In fraud detection the fingerprint is used for two checks. Consistency: does the story hold together? A visitor claiming to be an iPhone whose graphics traits match a Linux server is lying. Repetition: are thousands of "different users" really the same few devices, or one emulator with tiny variations? Both are central to finding SIVT, because bots and click farms can change IP addresses through a residential proxy far more easily than they can fake a coherent device.

For search arbitrage, fingerprint signals let a publisher or feed provider spot that a cheap source is recycling the same devices, before the search engine's own review produces a clawback.

There is a privacy side. Fingerprinting can also be used to track people for advertising without cookies, which regulators treat as processing personal data. Under GDPR and similar laws it needs a lawful basis and proper disclosure, even when the purpose is security.

Think of it like this

One detail, such as height or shoe size, describes thousands of people. Height, shoe size, gait, accent and handwriting together describe one.

Related terms

Sources: MRC Invalid Traffic Detection and Filtration Standards Addendum (June 2020 update)