Inside a Click Fraud Detection System

How clickfraud.ru uses machine learning and behavioral analysis to separate real clicks from bot traffic. Architecture, signals, and the ongoing arms race against fraudsters.

This article is rendered from fixture-based content and follows the same structure as the prototype. Additional sections, callouts, and references can be added into fixtures if needed.

Ideas in distributed teams scale better when systems are explicit, measurable, and observable.

The core principle remains the same: design reliable architecture, keep interfaces simple, and preserve communication loops between people and systems.