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.
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Yarovyi, A., Polhul, T. (2020). Applied Aspects of Implementation of Intelligent Information Technology for Fraud Detection During Mobile Applications Installation. In: Shakhovska, N., Medykovskyy, M.O. (eds) Advances in Intelligent Systems and Computing IV. CSIT 2019. Advances in Intelligent Systems and Computing, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-33695-0_26
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