GENERALIZED COMPUTATIONAL METHOD TO COMPARE THE ACCURACY OF QUANTITATIVE ESTIMATES OF SECURITY OF WIRELESS SECURITY SYSTEMS
In this paper, the author for the purposes of comparative analysis of the accuracy of quantitative methods for assessing the security of wireless security systems, developed a generalized computational method for comparing the accuracy of quantitative assessments of the security of wireless security systems on the example of fire alarm systems. For this purpose, the known security assessments of wireless security systems are described. The numerical indicators of security assessments of the known technologies of protection of the radio channel of fire alarm systems from unauthorized by two security assessments are presented. The known approaches of the comparative analysis of the accuracy of quantitative estimates of protection are shown, their shortcomings are specified. As a perspective approach of the comparative analysis of the accuracy of quantitative estimates of security, free from the shortcomings of known approaches, the apparatus of mathematical statistics is indicated. The application of mathematical statistics to the comparative analysis of the accuracy of quantitative estimates of security of wireless security systems is shown. The developed generalized computational method of comparison of the accuracy of quantitative estimates of security of wireless security systems is described. Its advantages over known methods, as well as its limitations are indicated. Recommendations on its application to the comparative analysis of the accuracy of quantitative security assessments are given. It is also indicated that the developed computational method is generalized – its potential can be used for comparative evaluation of the same type of quantitative security assessments of a wide class of wireless security systems for the purposes of determining which of the security assessments has greater accuracy of security.
Keywords: security assessment, radio channel, security systems, computational method, mathematical statistics.