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Applied Aspects of Implementation of Intelligent Information Technology for Fraud Detection During Mobile Applications Installation

  • Andrii Yarovyi
  • Tetiana PolhulEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1080)

Abstract

The intelligent information technology for fraud detection during mobile applications installation is proposed in this paper. The structure of such intelligent information technology of fraud detection is offered in accordance with the tasks which should be solved by it: subsystem for available data analysis; subsystem for intellectual processing of available data; subsystem for developing a database and knowledge base (for detecting fraudsters); classification model building and user classification subsystem; subsystem for users’ templates formation; subsystem for the generalized fraudsters fingerprint formation. The proposed intelligent information technology allows the processing of various input data, which in the process gives the opportunity to form a generalized template of fraudster.

Keywords

Fraud detection Anomaly detection Mobile application installation Data mining Intelligent information technology 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Vinnytsia National Technical UniversityVinnytsiaUkraine

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