Fraud Prevention in Online Digital Advertising

£54.99

Fraud Prevention in Online Digital Advertising

Network hardware Computer security Network security Applied computing

Authors: Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne

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Collection: SpringerBriefs in Computer Science

Language: English

Published by: Springer

Published on: 8th June 2017

Format: LCP-protected ePub

Size: 940 Kb

ISBN: 9783319567938


Overview

The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud.

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