Fraud Prevention in Online Digital Advertising

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64,19 

SpringerBriefs in Computer Science

ISBN: 3319567926
ISBN 13: 9783319567921
Verlag: Springer Verlag GmbH
Umfang: xiv, 54 S., 72 s/w Illustr., 15 farbige Illustr., 54 p. 87 illus., 15 illus. in color.
Erscheinungsdatum: 23.06.2017
Weitere Autoren: Zhu, Xingquan/Tao, Haicheng/Wu, Zhiang et al
Auflage: 1/2017
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 2108382 Kategorie:

Beschreibung

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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