Review on fraud detection in mobile apps by ranking, rating & review
Jyoti, *Gurcharan Dass
Now a day’s number of fraud activities are performing frequently by various imposters for population of their application. Imposter always try to keep their mobile on top ranking in leader board. This paper describes the step wise process of fraud detection for mobile Apps. The aim is to develop such system that find ranking, rating and review behaviors for investigating review based evidences, rating based evidences and ranking based evidences and then aggregation based on optimization to combine all the evidences for detection of fraud.