Fraud Prevention in Online Digital Advertising (Paperback, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Computer Science
Release date:	June 2017
First published:	2017
Authors:	Xingquan Zhu • Haicheng Tao • Zhiang Wu • Jie Cao • Kristopher Kalish • Jeremy Kayne
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	54
Edition:	1st ed. 2017
ISBN-13:	978-3-319-56792-1
Categories:	Books > Computing & IT > Social & legal aspects of computing > Computer fraud & hacking Books > Business & Economics > Business & management > Sales & marketing > Advertising
LSN:	3-319-56792-6
Barcode:	9783319567921

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