HIGH TECH IN EARTH SPACE RESEARCH

Development multi-parameteric consenoy-sapricematic matrix system of information network

Pavlikov S.N., Ubankin E.I., Kolomeets V.U., Plenik M.D.

The work provides an analysis of the network's systems to protect against malware. The subject of the study is the development of a method of integrated analysis and optimization of the management of the processing of input information of the computer network in the context of interaction with an open and unsafe network with high uncertainty and risks.

Analysis of the state of protection of the computer network from input malicious software products allowed to identify the problem - high intensity and high heterogeneity of the input information of the computer system in the context of interaction with the open network uncertainties and risks reduces the reliability of the protection and operation of the computing network. The aim of the study is to improve the effectiveness of the integrated analysis and optimization of the management of the processing of input information of the computer system in conditions of high uncertainty and risk. The problem is the high intensity of viral attacks.

The main focus of research is the creation of new and modificational existing methods of intelligent analysis of input data in order to effectively detect anomalies that threaten the functioning of the research facility.  The work shows the options for construction, the criteria for optimization. The work examines the task of managing the operation of a comprehensive antivirus protection system, consisting of agreed on the decision levels of several antivirus programs. The results of mathematical modeling of the system are given, a list of interconnected tasks necessary for solving optimization problems with the selection of varieties of antivirus scanners, setting their thresholds, methods of adoption private decisions on the combination of methods of the same levels of probability of the first and second kind, methods with different levels of thresholds, as well as methods of making a common collective decision on the assigned criterion.

Recommendations for the optimal architecture and parameters of antivirus scanning of input traffic have been developed. Analysis of the results of the experimental test of the method allowed to determine the conditions and limitations of the algorithm. Recommendations have been developed on how many channels the system has been set up, the number of levels of collective decision-making rules in training mode, with blurred requirements for the input model of the malicious product, and the degree of risk when using the method in real-world conditions. Thus, the structure of the multi-parametric serial-parallel matrix system of information network protection, customization methods and decision-making algorithms with an increased level of detection of malware is proposed.

Editorial board

Bobrowsky V.I.
(Ph.D., Associate Professor, Head of Department of "INTELTEH")

Borisov V.V.
(Ph.D., Professor, Actual Member of the Academy of Military Sciences, Professor, Department of Computer Science of MPEI)

Budko P.A.
(Ph.D., Professor, Department of Technical communication and automation in S.M. Budjonny Military Academy of the Signal Corps)

Budnikov S.A.
(Ph.D., associate professor, Actual Member of the Academy of Education Informatization, Head of the automated control systems Department in Russian Air Force Military Educational and Scientific Center “Air Force Academy named after Professor N.E. Zhukovsky and Y.A. Gagarin”)

Verhova G.V.
(Ph.D., Professor, Head of Department of Automation communication companies In the Bonch-Bruevich Saint Petersburg State University of Telecommunications)

Goncharevsky V.S.
(Ph.D., Professor, Honored Worker of Science and Technology of the Russian Federation, Professor of technologies and technical support and maintenance of the automated control systems in Military Space Academy of A.F. Mozhaysky)

Komashinskiy V.I.
(Ph.D., Professor, professor of processing and transmission discrete messages in the Bonch-Bruevich Saint Petersburg State University of Telecommunications)

Kirpanev A.V.
(Ph.D., Associate Professor, Head of JSC "Scientific Production Enterprise "Radar MMS")

Kurnosov V.I.
(Ph.D., Professor, Academician of Academy of Sciences of the Arctic, Academician of the International Academy of Informatization, International Academy of defense, security, law and order, corresponding member of the Academy of Natural Sciences, Senior Researcher" Open Joint Stock Company "Scientific Research Institute "Rubin")

Manuilov Y.S.
(Ph.D., Professor, Department of automated control systems space complexes in Military Space Academy of A.F. Mozhaysky)

Morozov A.V.
(Ph.D., Professor, Actual Member of the Academy of Military Sciences, Head of the Department of automated command and control systems in Military Аcademy of troops of antiaircraft defense)

Moshak N.N.
(Ph.D., Associate Professor, head of the department of "INTELTEH")

Prorok V.Y.
(Ph.D., Professor, professor of automatic control systems in Military Space Academy of A.F. Mozhaysky)

Semenov S.S.
(Ph.D., associate professor, professor of technical communication and automation in S.M. Budjonny Military Academy of the Signal Corps)

Sinicyn E.A.
(Ph.D., Professor, Head of the Research Department of JSC "The All-Russian research institute of radio equipment")

Shatrakov Y.G.
(Ph.D., Professor, Honored Worker of Science, Scientific Secretary of JSC "The All-Russian research institute of radio equipment")