A Review on Mobile App Ranking Review and Rating Fraud Detection in Big Data

Abstract

In this smart world, mobile app fraud is growing rapidly. The fraud might be ranking, review, or rating. In play store, the purpose of fraud is promoting or bumping up the apps to top list. So the user might misunderstand while downloading. Hence, a new mechanism is required in order to detect or prevent mobile fraud. Limited research work has been done on fraud detection. Mostly data mining techniques are applied for this work. But nowadays, large volume of data is getting generated which might be of different formats like structured or unstructured. In this paper, taking review from different researches and identifying the problems, machine learning algorithms are recommended as future scope for resolving these issues. Not only discovering the fraud within particular time but also the most frequent frauds which are committed on the mobile app should get detected.