Häftad, Engelska, 2017
Del i serien SpringerBriefs in Computer Science
Fraud Prevention in Online Digital Advertising
Av Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne
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Beskrivning
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.
Produktinformation
- Utgivningsdatum: 2017-06-23
- Mått: 155 x 235 x undefined mm
- Format: Häftad
- Språk: Engelska
- Serie: SpringerBriefs in Computer Science
- Antal sidor: 54
- Förlag: Springer International Publishing AG
- ISBN: 9783319567921
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