Abstract
Click fraud detection consists of identifying the intention behind received clicks, given only technical data and context information. Reviewing concepts involved in click fraud practices and related work, a system that detects and prevents this type of fraud is proposed and implemented. The system is based and implemented on an ad network, one of the 3 main agents in the online ad environment, and for its validation, 3 servers were used, representing the publisher, the ad network with the system implemented and the announcer, and a bot that attempts to commit a click fraud.
Highlights
THE publicity domain grows continually by the day
It is possible to see the importance and interest gained by the area recently, which includes related technical aspects, such as click fraud detection
Click fraud detection is an inherently nebulous field. It consists of identifying the intention behind the received clicks, given only technical data and contextual information
Summary
THE publicity domain grows continually by the day. One of the reports from eMarketer [1] states an estimated growth of nearly 16% for the digital advertisement area in the United States compared to the previous year, summing almost 83 million dollars. That's equivalent to roughly 40% of the overall investment in advertising, estimated as 205.06 billion dollars. With these numbers, it is possible to see the importance and interest gained by the area recently, which includes related technical aspects, such as click fraud detection
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