The Implementation of Uncertainty Models for Fraud Detection on Mobile Advertising
Publication Name
Emerging Trends in Cybersecurity Applications
Abstract
Mobile advertisement fraud and anti-fraud are two competitors that try to suppress each other. This research is developing anti-fraud applications on mobile advertisements using uncertainty model theories which have the potential of ending this circle. We implement methods by using fuzzy set theory to detect cheaters with suspicious degree and methods of rough set theory to demonstrate how to avoid the detection from fraudsters. The analysis in this research and the implementation of these uncertainty models could be the solutions for the future mobile Internet advertisement anti-fraud systems.
Open Access Status
This publication is not available as open access
First Page
231
Last Page
249