TY  - BOOK
AU  - Zhu,Xingquan
AU  - Tao,Haicheng
AU  - Wu,Zhiang
AU  - Cao,Jie
AU  - Kalish,Kristopher
AU  - Kayne,Jeremy
ED  - SpringerLink (Online service)
TI  - Fraud Prevention in Online Digital Advertising
T2  - SpringerBriefs in Computer Science,
SN  - 9783319567938
AV  - QA76.9.A25 
U1  - 005.8 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer security
KW  - Application software
KW  - Computer communication systems
KW  - Systems and Data Security
KW  - Information Systems Applications (incl. Internet)
KW  - Computer Communication Networks
N1  - Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-56793-8
ER  -