Selection of features in the problems of personal identification by keystroke dynamics

Abstract

In this article examines the problem of identifying features when authenticating the identity of a user of computer systems based on keyboard handwriting. To solve this problem, a feature extraction method is proposed. The main idea of this method is to search for a set of representative features. In this case, the search for representative features is carried out in two stages. At the first stage, time and frequency features are determined. At the second stage, the following are determined: 1) a subset of strongly related features 2) a set of representative features. Experimental studies have been conducted to assess the performance of the proposed method. The results of the experimental study showed that the proposed method of feature extraction showed high accuracy in solving the problem of personal authentication by keyboard handwriting.