Algorithm and Technical Solutions for Dynamic Configuration of Client-Server Computing Networks

Abstract

The main factors that determine the expansion of capabilities and increase the effectiveness of network intelligence to identify the composition and structure of client-server computer networks due to the stationarity of their structural and functional characteristics are analyzed. The substantiation of an urgent problem of dynamic management of structurally-functional characteristics of the client-server computer networks functioning in the conditions of network reconnaissance is resulted on the grounds of the revealed protection features of client-server computer networks at the present stage that is based on realization of principles of spatial safety maintenance, and also formalization and introduction of forbidding regulations. The mathematical model allowing to find optimum modes for dynamic configuration of structurally-functional characteristics of client-server computer networks for various situations is presented. Calculation results are given. An algorithm is presented that makes it possible to solve the problem of dynamic configuration of the structural and functional characteristics of a client-server computer network, which reduces the reliability time of data obtained by network intelligence. The results of practical tests of software developed on the basis of the dynamic configuration algorithm of client-server computer networks are shown. The obtained results show that the use of the presented solution for the dynamic configuration of client-server computer networks allows to increase the effectiveness of protection by changing the structural and functional characteristics of client-server computer networks within several subnets without breaking critical connections through time intervals that are adaptively changed depending on the functioning conditions and the attacker’s actions. The novelty of the developed model lies in the application of the mathematical apparatus of the Markov’s theory of random processes and Kolmogorov’s solution of equations to justify the choice of dynamic configuration modes for the structural and functional characteristics of client-server computer networks. The novelty of the developed algorithm is the use of a dynamic configuration model for the structural and functional characteristics of client-server computer networks for the dynamic control of the structural and functional characteristics of a client-server computer network in network intelligence.