Xingquan Zhu

(Author)

Fraud Prevention in Online Digital Advertising (2017)Paperback - 2017, 23 June 2017

Fraud Prevention in Online Digital Advertising (2017)
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Part of Series
Springerbriefs in Computer Science
Print Length
54 pages
Language
English
Publisher
Springer
Date Published
23 Jun 2017
ISBN-10
3319567926
ISBN-13
9783319567921

Description

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.

Product Details

Authors:
Xingquan ZhuHaicheng TaoZhiang WuJie CaoKristopher KalishJeremy Kayne
Book Edition:
2017
Book Format:
Paperback
Country of Origin:
NL
Date Published:
23 June 2017
Dimensions:
23.39 x 15.6 x 0.36 cm
ISBN-10:
3319567926
ISBN-13:
9783319567921
Language:
English
Location:
Cham
Pages:
54
Publisher:
Weight:
108.86 gm

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