MODEL OF VULNERABILITY IDENTIFICATION IN UNSTABLE NETWORK INTERACTIONS WITH AUTOMATED SYSTEM

Abstract

The article gives a description of the vulnerabilities detection model in case of unstable network interactions with the automated system (AS). The process of detection of AS vulnerabilities in these conditions has the following drawbacks: a narrow scope of application of the existing models, low responsiveness level and lack of completeness of the AS actual condition, low reliability of control results. On the basis of the automata theory a structural model has been constructed that ensures detection of AS vulnerabilities in the reviewed conditions. The process of the model’s operation in conditions of unstable network interactions with the AS is described. A flow chart of the algorithm that provides a possibility for practical implementation of the proposed model is constructed. The vulnerability detection model, which is presented in the article makes it possible to ensure promptness, completeness and reliability of monitoring the real condition of ASs functioning in unstable network interactions; to expand the scope of application of the existing models and methods for систем identifying vulnerabilities for dynamic AS featured by a relatively short time interval of operation; to automate the process of restoring control over AS interrupted by external factors; adaptively manage the decision-making time; to provide the iterative approach to identifying the AS