Fraud Prevention in Online Digital Advertising
by
 
Zhu, Xingquan. author. (orcid)0000-0003-4129-9611

Title
Fraud Prevention in Online Digital Advertising

Author
Zhu, Xingquan. author. (orcid)0000-0003-4129-9611

ISBN
9783319567938

Edition
1st ed. 2017.

Physical Description
XIV, 54 p. 87 illus., 15 illus. in color. online resource.

Series
SpringerBriefs in Computer Science,

Abstract
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.

Subject Term
Data protection.
 
Application software.
 
Computer networks .
 
Data and Information Security.
 
Computer and Information Systems Applications.
 
Computer Communication Networks.

Added Author
Tao, Haicheng.
 
Wu, Zhiang.
 
Cao, Jie.
 
Kalish, Kristopher.
 
Kayne, Jeremy.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-319-56793-8


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book618267-1001ONLINESpringer E-Kitap Koleksiyonu