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Proceedings Paper

Method of data anomaly detection in the process of mobile applications installation
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Paper Abstract

In the given research the anomaly is considered as a fraud. The paper is devoted to the development of the method, aimed at detection of the data anomalies mobile applications installation. Anomaly (fraud) detection method on the basis of anomalies in data, which, unlike the existing ones, allows to solve the heterogeneous data resolution problem on which fraudulent decisions are made, reduce the size of the data and conduct a classification of users, is proposed. An experiment was conducted on the basis of a representative sample of 284,807 users acting from a real mobile application. The efficiency of the proposed method, the accuracy of which is 99.14%, is shown.

Paper Details

Date Published: 6 November 2019
PDF: 8 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111761Y (6 November 2019); doi: 10.1117/12.2536855
Show Author Affiliations
Tetiana D. Polhul, Vinnytsia National Technical Univ. (Ukraine)
Andrii A. Yarovyi, Vinnytsia National Technical Univ. (Ukraine)
Ryszard Romaniuk, Warsaw Univ. of Technology (Poland)
Paweł Komada, Lublin Univ. of Technology (Poland)
Nursanat Askarova, Almaty Univ. of Power Engineering and Telecommunications (Kazakhstan)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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