Development of an Intelligent System for Detecting Mobile App Install Fraud
The paper is devoted to the development of an intelligent system for detecting mobile app install fraud. The developed system consists of the following blocks: block of user data characteristics identifying; data heterogeneity resolution block; classification model training block; classification block; knowledge base (for detecting fraud) formation block; block of fraudsters database creation; data mining and user patterns formation block; general fraudster portrait prediction block. Software for the system was developed based on the proposed methods and models during the mobile app install fraud detection intelligent system design. The values of sensitivity (99%) and specificity (80%) of the development system are high, and it means that the developed intelligent system for detecting mobile app install fraud has adequate results. Keywords - Fraud Detection, Mobile Application, Data Mining, Intelligent System.