Modeling of Information Security System in Computer Network

Abstract

This article presents simulation modeling process as the way to study the behavior of the Information Security system. Graphical Network Simulator is used for modeling such system and Kali Linux is used for penetration testing and security audit. To implement the project GNS3 package is selected. GNS3 is a graphical network emulator that allows you to simulate a virtual network of more than 20 different manufacturers on a local computer, connect a virtual network to a real one, add a full computer to the network, Third-party Applications for network packet analysis are supported. Depending on the hardware platform on which GNS3 will be used, it is possible to build complex projects consisting of routers Cisco, Cisco ASA, Juniper, as well as servers running network operating systems. Using modeling in the design of computing systems, you can: estimate the bandwidth of the network and its components; identify vulnerability in the structure of computing system; compare different organizations of a computing system; make a perspective development forecast for computer system; predict future requirements for network bandwidth; estimate the performance and the required number of servers in the network; compare various options for computing system upgrading; estimate the impact of software upgrades, workstations or servers power, network protocols changes on the computing system. Research computing system parameters with different characteristics of the individual components allows us to select the network and computing equipment, taking into account its performance, quality of service, reliability and cost. As the cost of a single port in active network equipment can vary depends on the manufacturer's equipment, technology used, reliability, manageability. The modeling can minimize the cost of equipment for the computing system. The modeling becomes effective when the number of workstations is 50-100, and when it more than 300, the total savings could reach 30-40% of project cost.

Research on the Popularity Prediction of Multimedia Network Information Based on Fast K Neighbor Algorithm

“…Traditional media has developed rapidly under the drive of global information networks and computer technology, and many new tools have begun to be put into application, which has greatly promoted the development of the media industry. Related studies have also found that the time people spend on general reading and newspaper reading is decreasing, and their attention to paper media is decreasing, while the time spent on online media is increasing [1]. ese phenomena also show that new media has occupied an important position in the media industry, and people's methods of obtaining media information and learning habits have undergone important changes.…”

The Construction of College Sports Culture Based on Intelligent Information Management Technology

“…e content of people's needs for sports, ideas, theoretical methods, and other ideological forms and various sports activities externalized in the real world, as well as the organizational forms of activities, the norms of activities, and the facilities are composed, including a variety of complex spiritual and material factors. Overall, Korniyenko and Galata [17] wrote sports activities usually serve people for a long time in the form of direct feelings and deep impressions. It belongs to the dynamic mode of sports venue construction and other forms.…”

Research on Information Security Risk Assessment Method Based on Fuzzy Rule Set

“…In terms of risk quantification, the literature [11] compared the difference between ICPS security quantification and IT systems based on the analysis of ICPS availability, integrity, confidentiality, and other security attributes and gave overall recommendations for index system research. The literature [12] has long been committed to the research of risk assessment based on the mechanism of the controlled process and proposed system availability metrics based on downtime and some other risk quantitative auxiliary indicators. The literature [13] designed quantitative strategies for security attributes such as reliability, availability, and controllability from a statistical perspective.…”