Fraud prevention in online digital advertising /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, 2017.
Description:1 online resource (xiii, 53 pages) : illustrations (some color)
Language:English
Series:SpringerBriefs in computer science, 2191-5768
SpringerBriefs in computer science,
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11307974
Hidden Bibliographic Details
Other authors / contributors:Zhu, Xingquan, 1973- author.
Tao, Haicheng, author.
Wu, Zhiang, author.
Cao, Jie, author.
Kalish, Kristopher, author.
Kayne, Jeremy, author.
ISBN:9783319567938
3319567934
9783319567921
3319567926
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed June 19, 2017).
Summary: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.
Other form:Print version: Fraud prevention in online digital advertising. Cham, Switzerland : Springer, 2017 9783319567921 3319567926
Standard no.:10.1007/978-3-319-56793-8