國立虎尾科技大學 |

Language: English

Back

Fraud prevention in online digital a...

SpringerLink (Online service)

Fraud prevention in online digital advertising

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fraud prevention in online digital advertising/ by 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

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
LDR:01666nam a2200325 a 4500 001 905579
003 DE-He213
005 20170619194336.0
006 m d
007 cr nn 008maaau
008 190308s2017 gw s 0 eng d
020 $a 9783319567938 $q (electronic bk.)
020 $a 9783319567921 $q (paper)
024 7 $a 10.1007/978-3-319-56793-8 $2 doi
035 $a 978-3-319-56793-8
040 $a GP $c GP
041 0 $a eng
050 4 $a HF5827.8
072 7 $a UR $2 bicssc
072 7 $a UTN $2 bicssc
072 7 $a COM053000 $2 bisacsh
082 0 4 $a 364.163 $2 23
090 $a HF5827.8 $b .F845 2017
245 0 0 $a Fraud prevention in online digital advertising $h [electronic resource] / $c by Xingquan Zhu ... [et al.].
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
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 1086912
650 0 $a Internet marketing. $3 559675
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Systems and Data Security. $3 677062
650 2 4 $a Information Systems Applications (incl. Internet) $3 815116
650 2 4 $a Computer Communication Networks. $3 669310
700 1 $a Zhu, Xingquan. $3 1172815
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in computer science. $3 883114
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-56793-8
950 $a Computer Science (Springer-11645)

based on 0 review(s)

Multimedia

Reviews

Add a review and share your thoughts with other readers

Export

pickup library