This chapter reviews both commercial Ad fraud detection and prevention systems and the ones developed in academia. For commercial systems, they mainly emphasize on the efficiency, so fraud detection can be achieved at pre-auction level (e.g. less than 10 ms). The systems developed in academia are often more sophisticated in their designs and mathematical models. Yet the efficiency of such systems for online usages are often not strictly evaluated.
CITATION STYLE
Zhu, X., Tao, H., Wu, Z., Cao, J., Kalish, K., & Kayne, J. (2017). Ad fraud detection tools and systems. In SpringerBriefs in Computer Science (Vol. 0, pp. 45–49). Springer. https://doi.org/10.1007/978-3-319-56793-8_6
Mendeley helps you to discover research relevant for your work.