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Fraud prevention in online digital advertising

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fraud prevention in online digital advertisingby Xingquan Zhu ... [et al.].
other author:	Zhu, Xingquan.
Published:	Cham :Springer International Publishing :2017.
Description:	xiv, 54 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Deceptive advertising.
Online resource:	http://dx.doi.org/10.1007/978-3-319-56793-8
ISBN:	9783319567938$q(electronic bk.)

Fraud prevention in online digital advertising
Fraud prevention in online digital advertising[electronic resource] /by Xingquan Zhu ... [et al.]. - Cham :Springer International Publishing :2017. - xiv, 54 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

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.

ISBN: 9783319567938$q(electronic bk.)

Standard No.: 10.1007/978-3-319-56793-8doiSubjects--Topical Terms:

787292
Deceptive advertising.

LC Class. No.: HF5827.8

Dewey Class. No.: 364.163

Fraud prevention in online digital advertising
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245 0 0 $a Fraud prevention in online digital advertising $h [electronic resource] / $c by Xingquan Zhu ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiv, 54 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
520 $a 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.
650 0 $a Deceptive advertising. $3 787292
650 0 $a Internet marketing. $3 208232
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Systems and Data Security. $3 274481
650 2 4 $a Information Systems Applications (incl. Internet) $3 530743
650 2 4 $a Computer Communication Networks. $3 218087
700 1 $a Zhu, Xingquan. $3 787291
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