Development of a method for automatic control of monitoring means for information protection objects

For the modern stage of science and technology development, the problem of information protection from unauthorized access is becoming relevant. The object of research is the process of monitoring information protection objects for timely detection and securing of leakage channels. The subject of research is ensuring automatic control of monitoring means for information protection objects. The article presents the results of the development of a method for automatic control of information protection object monitoring means by improving the control process, taking into account the peculiarities of the potential threats impact. The advantage of this study is the involvement of artificial intelligence in monitoring information protection objects in order to timely detect new threats to leakage channels. The essence of the method is to use a cybernetic approach to the development of adaptive control systems for monitoring information protection objects. The structure of the modeling method is considered, the procedure for assessing the adequacy and accuracy of determining the parameters of monitoring information protection objects. Proposals for implementing a method for controlling information protection object monitoring means based on associative control devices are substantiated. Schemes for implementing an associative control device for determining the parameters of an information protection object are presented, and the results of the practical implementation of the proposed method are also presented. A feature of the study are the developed associative control devices that provide the accumulation of knowledge in the process of learning about the threats of information leakage to the object of protection. The results of the study allow to improve the quality of detecting threats of information leakage to the object of protection and take into account possible changes in the characteristics of promising information leakage channels