Conceptual Model of an Intelligent System for Detecting Fraud During Mobile Applications Installation

The conceptual model of an intelligent system for fraud detection during mobile applications installation is proposed in this paper. It is desirable that the proposed model to develop the systems' class. Conceptual model includes: subsystem of identifying user data characteristics, subsystem of overcoming heterogeneity of input data, subsystem of classification model training, subsystem of classification, subsystem of fraudsters database formation, subsystem of knowledge base (for detecting fraud) formation, subsystem of data mining and user patterns formation, subsystem of general fraudster fingerprint prediction. The proposed conceptual model of an intelligent system allows processing heterogeneous input data, which gives the opportunity to form a generalized fraudsters fingerprint in the process.