Fraud prevention in online digital advertising
By: Zhu, Xingquan.
Contributor(s): Tao, Haicheng | Wu, Zhiang | Cao, Jie | Kalish, Kristopher | Kayne, Jeremy.
Material type:
BookSeries: Springer Briefs in computer science. Publisher: Cham : Springer International Publishing, 2017Description: xiii, 53 p. : ill. ; 23.2 cm.ISBN: 9783319567921.Subject(s): Social science | Criminology | Computer communication networks | Computer science | Systems and data security | Information systems applications | Deceptive advertising | Internet marketing | Information retrieval | Network hardware | Data protection | Computer securityDDC classification: 364.163 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.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | 364.163 ZHU (Browse shelf) | Available | 031788 |
Includes bibliographical references.
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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