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Fraud prevention in online digital a...

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Fraud prevention in online digital advertising

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Fraud prevention in online digital advertising/ by Xingquan Zhu ... [et al.].
其他作者:	Zhu, Xingquan.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xiv, 54 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Deceptive advertising. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-56793-8
ISBN:	9783319567938

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

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

1086912
Deceptive advertising.

LC Class. No.: HF5827.8

Dewey Class. No.: 364.163

Fraud prevention in online digital advertising
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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.
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