The Implementation of Uncertainty Models for Fraud Detection on Mobile Advertising

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Emerging Trends in Cybersecurity Applications


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.

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