ALGORITHM FOR DETECTING INTERNAL THREATS IN INFORMATION SYSTEM

Reshetnikov Daniil Dmitrievich, Ivanov Egor Andreevich, Amelyutin Evgenij Vyacheslavovich, Selin Andrey Alexandrovich

This article presents an algorithm for threat detection and prevention using neural network based on multilayer perceptron and ARIMA model. Based on the algorithm, software is developed and tested with subsequent evaluation of performance in simulation of malicious actions. The aim of the work is to demonstrate an effective algorithm that can detect malicious actions with sufficient accuracy.

Keywords:information systems, internal threats, information security, ARIMA, neural networks.