Software System for Users Continuous Identification Based on Behavioral Information About the Work with Standard Input Devices

Abstract

This article is devoted to the task of developing a software system designed to effectively solve the problem of continuous background identification of users based on an analysis of their behavior when working with traditional input devices like keyboard and mouse. As part of the implemented functionality, data is collected that is generated by a potentially large number of users with active use of input devices for long periods of work. Algorithms traditionally used to solve problems of behavioral biometrics are used and algorithms developed by the authors are proposed to increase the accuracy and efficiency of work when working with large amounts of input data. The architecture of the implemented system, its functionality and the results of experimental use are described.