Experimental-Statistical Method of Calculating the Correlation Interdependence of the Parameters of Recognition of Illegal Obtaining of Information

DOI: 10.31673/2409-7292.2019.032329

Abstract

The experimental and statistical approach of creation of methods of calculation of parameters of interdependence of parameters of recognition of the means of voice recognition of information on individual, concrete data which do not detach the object from time and place frames is considered. On the basis of correlation-regression analysis, the method of estimation of mutual influence of signals of the means of silent receiving of information is proposed, for linear dependence of parameters of recognition of means of silent receiving of information by two different methods, determination of the Fechner coefficient and Pearson's coefficient. Which showed almost identical results, which testifies to the reliability of the results and the correctness of the proposed method of estimation of numerous values of the parameters of mutual influence. Using the proposed algorithm for determining Spearman's rank correlation coefficient, determined the parameters of recognition of the means of false information retrieval with nonlinear dependence, the obtained results confirm the lack of interdependence of the proposed parameters of recognition of the means of false information retrieval. The calculated Student's t-Criterion, for the Spearman coefficient, confirmed the adequacy of the proposed method of estimating the mutual influence of the parameters of recognition of the means of silent information acquisition.
The methods and calculations presented in the article allow us to choose the most basic recognition parameters, which will in the first stage shorten the recognition time, which will increase the probability of finding the means of silent retrieval of information.

Keywords: correlation, coefficient, parameter interdependence, signal, rank.

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