Abstract
The article addresses the current scientific task of regularizing the feature space of the biometric model of the keyboard handwriting of users of military information systems in order to increase the effectiveness of the user authentication procedure by access control and demarcation systems. The setting of this scientific task is due to the presence of the following shortcomings of the existing biometric models of users' keyboard handwriting: when the number of users in the system increases, the complexity of their classification increases; the complexity of formalizing the uniqueness of users; the implementation of determining the fact of replacing an already authorized user is too complex; the feature space of the existing biometric models is insignificant due to the limitation of the set of properties of the modern keyboard, which negatively affects the accuracy of the authentication procedure. A biometric model of keyboard handwriting was chosen, the feature of which is the formalization of the uniqueness of the user of the information system on the basis of the detection of the regularities of the keyboard handwriting by fuzzy rules. An improved method of regularization of the feature space of the biometric model of keyboard handwriting of users of military information systems is proposed. The essence of the proposed method, which distinguishes it from the existing ones, is that the increase in the set of features of the biometric model is achieved by adding to it discovered hidden facts from the set of own features based on factor analysis with the highest rate of their variability. The application of the proposed method allows solving the problem of non-linear separability of the n-dimensional feature space of the biometric model of keyboard handwriting, which in turn allows to increase the accuracy and reliability of the authentication procedure by control systems and access demarcation of military information systems.
Publisher
Scientific Journals Publishing House