name
Trofimov Victor Maratovich
Scholastic degree
•
Academic rank
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Honorary rank
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Organization, job position
• Kuban State Technological University
профессор
Research interests
Web site url
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Articles count: 4
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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Description
This article describes the results of networks anomalies detection system based on modular adaptive approach practical implementation. The list of specific modules used in the practical implementation of IPS, their architecture, algorithms, software, organizational and technical support determined at technical working design based on the results of the audit, evaluation and risk analysis. In the general list of modules (subsystems) we may include: intrusion detection and prevention (IPS / IDS) subsystems; monitoring, data collection, and event correlation, administration and management subsystem and others. We have demonstrated the specificity of formation requirements for the basic mechanisms of the subsystems in terms of development and implementation of specific architecture with some examples, plus practically implemented structure of system modules, as well as organizational and technical support system functioning
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Description
In the article we have allocated a number of poorly formalized functional tasks that significantly affect the efficiency of the operation of distributed information-analytical systems. The scheme has been developed for the iterative process, which in addition to the automation of the delivery process and the exchange of information between information systems based on grid integration, also includes funds for applied modeling situations on the basis of available information, developing alternatives, multi-criteria decision problems using techniques scenarios and peer review. Obtained during the evaluation of the effectiveness results allow us to control and manage the operation of distributed information-analytical systems with specific problems, as well as to conduct simulations and analytical processing of the results
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MODEL OF INFORMATION EXPOSURE IN SOCIAL NETWORKS
Description
On the basis of hydrodynamic analogy between turbulent transport of momentum, heat and mass transfer, and information in the conditions of modern electronic social networks, we consider a model of informational influence. The flow of information is represented as a stream of random events with simplest flow properties. In addition to the flow of information impact there were introduced the concepts of density, velocity and viscosity of the information flow. These parameters had been derived from the construction of dimensionless criteria characterizing the balance between inertia and viscosity of the information flow of information influence. This criterion serves as a numeric parameter determining the boundary of the transition from low-intensity to high intensity of information influence the turbulent nature of the attack. We have also analyzed the ranges of changes and the meaning of the entered parameters from the point of the organized network information inserts. The existence of the information in time and procedural nature of the concept of information allow us to focus on the properties of information flow as inertia, dynamics and relaxation
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MODEL OF INFORMATION SECURITY FOR CONTROL PROCESSES OF COMPUTER NETWORKS
Description
In order to improve the security of information transfer we have offered one of the possible approaches to modeling process control computer networks with elements of intelligent decision support. We proceed from the graph model of network nodes which are network devices with software control agents, and arcs are logical channels of information exchange between the equipment computer systems. We built an addressless sensing technology which ensures the completeness of monitoring of all network equipment. To classify the computer networks state we provided a method for calculating the values of reliability. Development of signal mismatch triggers the control cycle as a result of which the adjustment of the state of network equipment. For existing tools we proposed adding network control expert system consists of a knowledge base, inference mechanism and means of description and fill in the knowledge base
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