Local Computer Networks Research Articles

РОЗРОБКА АДАПТИВНИХ АЛГОРИТМІВ РОЄВОГО ІНТЕЛЕКТУ У ПРОЕКТУВАННІ ТА УПРАВЛІННІ ІНЖЕНЕРНИМИ СИСТЕМАМИ

The article examines the design and management of engineering systems in the context of growing data volumes in local computer networks. With the development of swarm intelligence, the probability of the existence of the necessary information for managing engineering systems increases, but the possibility of finding it decreases. This creates the need to develop new methods and tools for using adaptive algorithms of swarm intelligence. The purpose of such algorithms is to ensure the ability to process information and find queries with maximum relevance, generating the largest number of search results (SERPs) containing technical information. The development of swarm intelligence algorithms is impossible without their intellectualization, which includes semantic and syntactic analysis of texts, natural language tools, and intelligent algorithms for determining the significance of information resources. In digital information retrieval systems (DIRS), a query is formed in the form of keywords or their combinations, connected by logical operations. To search for the same information, different keywords are used, the choice of which is subjective. The first stage of the algorithm consists in determining the set of meaningful correspondences and forming the initial set of requests within the engineering system. To ensure the completeness of the selection, the total relevance of the SERP in relation to the group of significance criteria is considered. There is a need to develop an efficient neural network algorithm to solve the problem of assigning one SERP to each group of query criteria. This will make it possible to distribute SERPs by criteria groups so that each page is evaluated mainly by one criteria group, and the total relevance of all groups is maximized. Thus, the article emphasizes the importance of developing new methods and tools for implementing adaptive swarm intelligence algorithms in engineering systems. Special attention is paid to the development of effective neural network algorithms that will ensure optimal distribution of the relevance of search pages, which will increase the accuracy and efficiency of information search in complex engineering systems.

Digitalization of the national economy as a driver of virtualization of communications among dairy market stakeholders

Theoretical and methodological approaches to the study of key trends in the digitalisation of the national economy, which act as a driver of virtualisation of communications of dairy market stakeholders, have been studied and substantiated. It is established the different speed and slow implementation of digital accounting technologies in the conditions of differentiation of requests of interested organisations and customers, providing time saving, and communication costs are calculated. On the one hand, the involvement of local computer networks in the internal activities of national organisations, the internet – in the environment of virtual external interaction, rather with suppliers than with consumers, and e-mail, websites – in all spheres of their virtual activity is predominantly developed. On the other hand, there is a big lag in the implementation of such key elements of digital technologies as “big data”, “internet of things”, artificial intelligence models, radio-frequency identification, “digital twins”. The feasibility of creating a web showcase site for virtual interactions between innovatively active dairy enterprises and customers is substantiated.

The reliability evaluation of local computer networks using markov model of multiple heterogeneous groups of switches

At present, in all areas of life, the rapid development of information technology, which needs high-quality and fast exchange of information, needs data networks. The technical parameters of these networks must be studied accurately enough to design and develop new local computer networks. The task of investigating the reliable operation of these network parameters is the most urgent in the field of information technology. Therefore, common topologies of local computer networks and reliability models of recoverable systems are considered in the article. The Formulas for calculation of complex reliability indicators of the considered topology are given. The corresponding example is shown. For this, the Markov service model, that is, the description of a mass service operation using a Markov process with a discrete set of states, was used. This paper describes results that can improve the hardware reliability of local data communication networks in the design and modernization of existing technical systems.

Моделирование распространения сетевого вируса в локальной компьютерной сети методами теории перколяции

A net virus spreading in a local computer network is investigated in this paper. Two percolation models were proposed to describe two types of networks: wired and wireless. The percolation threshold corresponds to the fraction of infected computers in the network at which the network loses its operability. Algorithms for lattice filling by occupied nodes, for distributing occupied nodes into clusters, for searching a percolation cluster and for the percolation threshold determining were developed and implemented for the models. A numerical experiment was conducted to estimate the percolation threshold and its dependence on various virus characteristics.

APPROACHES TO INCREASE THE EFFICIENCY OF TRAINING AND TESTING BY CREATING A UNIFORM INFORMATION AND REFERENCE SYSTEM AND AUTOMATING THE ACTIVITIES OF THE INSTITUTE’S SCIENTISTS

The article is devoted to ways of solving certain problematic aspects of the preparation and conducting of tests, caused by the lack of a centralized approach to the creation, replenishment and access of scientists of the institute to the regulatory and legal framework and other materials necessary for the development of organizational and methodical documents for conducting tests. This causes long-term, not always high-quality preparation and testing of weapons, military, special equipment, ammunition, software and other types of experimental samples.
 The authors of the article outline approaches to increase the efficiency, automation, and quality of preparation and testing. For this purpose, it is proposed to create a single information and reference system at the institute, built on the basis of global (cloud environment) and local (local computer network) data exchange systems.
 The proposed approaches provide for the implementation of advanced information technologies that ensure the accumulation, search, access and use by scientists of the State Research Institute of Testing and Certification of Weapons and Military Equipment of the necessary regulatory and legal acts, organizational and methodological documents, reporting materials and other reference data at the stages preparation and testing of weapons, military, special equipment, ammunition, software and other types of prototypes.
 The introduction of the proposed approaches will reduce the cost of human resources for the preparation for the tests, will ensure the improvement of the quality of working out the organizational and methodical documents, which will ensure the proper conduct of the tests by the test team.

Use of a local computer network in the process of teaching Mathematics at school

At present in the context of modernization of the educational system, a modern teacher cannot succeed without knowledge of the possibilities of information and communication technologies (ICT). As the works of domestic researchers show [1; 3; 5], these technologies in Mathematics lessons can significantly increase the effectiveness of teaching. However, in the education system, the experience of using a private component of ICT – local computer networks (LCN) is not as long as, for example, in enterprises [9]. On the basis of the foregoing, the research problem is to form methodology for the use of LCN in the process of teaching Mathematics.The purpose of the research is to reveal the possibilities of using the LCN in the process of teaching Mathematics at school. To achieve this goal, the works devoted to the problems of using information technologies in teaching Mathematics have been analyzed, and a stating experiment in MBOU Lyceum No. 35 in Stavropol have been conducted to identify the possibilities of using LCN. In the course of the research the methods of analysis, synthesis and systematization of material on the problem of the use of LCN in education, questionnaires and conversations with teachers have been used.On the basis of literature analysis and the conducted ascertaining experiment, the authors have classified the LCN tools according to their methodological purpose, and have given the possibilities and requirements for the use of a local network in teaching Mathematics at the levels of basic and secondary general education. Along with this, the article reveals the demand for the use of LCNs at the levels of basic and secondary general education.

Ensuring Secure Data Exchange in Software-defined Local Network

Introduction. Protecting outer perimeter is not enough to ensure secure data communication in the information system of local area network. Analytical reports of leading information security companies confirm this fact. Usually, an attacker having overcome the outer perimeter conducts network reconnaissance before carrying out an attack. The success of a network attack depends on the completeness of the information collected. The constantly changing network topology does not provide an attacker with long-term network topology information, as a result, the attacker is forced to collect information more intensively thereby identifying himself. Otherwise, the effectiveness of the planned attack is reduced. The aim of this research is to increase the intra-network data transfer security level by means of network topology dynamic reconfiguration. The authors proposed a new solution for ensuring secure node interaction countering both internal and external attackers having overcome an outer perimeter.Materials and methods. The proposed solution is based on a software-defined network and VxLAN technology. The solution involves constant network reconfiguration both with a certain frequency and on the occurrence of certain events, so that an attacker could not have long-term information. If an intruder is detected or an information security incident occurs, the network is automatically reconfigured in such a way as to lessen or prevent possible consequences.Results. The obtained results show that periodic network changes do not allow an attacker to covertly collect complete information about the network, and the proposed solution may allow to detect and isolate the attacker.Discussion and conclusion. The obtained results show that it is possible to apply the proposed solution for organizing secure data communication within the local computer network of the information system.

Improving the contour of information protection in the context of a computer network

The study is aimed at the analysis and application of software and hardware information protection in a local computer network on the example of the case of the Main Directorate of the Ministry of Emergency Situations of Russia in the Sverdlovsk Region. The analysis of the existing composition and scheme of the network, as well as the risks that pose a potential threat to the considered local network of the organization, was carried out. The main types of means of protection are determined, considering the idea of processed information in the network and the specifics of the organization in the context of import substitution. The experience of implementing topical tools that are certified by the Federal Service for Technical and Export Control and the Federal Security Service and meet the requirements for information protection in an organization, identified because of an analysis of the requirements for the protection segment, is described. The main approaches to the design of the network and the location of the protection segment in it are determined. The task was set to develop an approach to the administration of information security tools in a local computer network.

Calculation of Data Flow in Local Computer Networks. Combined (Experimental + Computer Simulation) Approach

In the present paper, we consider a model that can be described as a “users – network applications” in local networks. The characteristic scales of the model are: the number of users up to 1024, time of events from several seconds to hours, the transmitted data volume –10-10000Kb. This scale rise to a new model that appears between the packet-level and the global Internet level models. We introduce the no-tion of the elementary data flow from an Internet service and from a peer. By using these notions, we develop the “metrology” approach to the modeling of data flow in local networks. Examples are present-ed.

Peculiarities of the use of distance learning information technologies in higher education institutions of Ukraine

The article considers the process of informatization as one of the main directions in the development of higher education. Distance learning technologies that can be used in the traditional educational process to improve the quality of education are analyzed. The main attention is paid to the local (internal university) computer network. A description of the information resources of such a learning system is given. Problem: based on the analysis in the science of research, own research results, the research problem was formulated, determined by the following contradictions: the growing need between high-quality training of specialists and the lack of analysis of problems and prospects for the development of distance learning in Ukraine.

Optimization of Network paths in congested SDN using Genetic Algorithm

Computer network and Communication over such networks become integral part of human life from the very beginning of twenty first century. From the very first radio communication in the beginning of 19th Century to the latest wireless and Software Defined Network (SDN) communication over the satellite and local allied computer networks, caused increase in more and more traffic over the computer network. Internet was not only provided over the copper, fiber optics cables, but rather it becomes a commercial service sector over the low earth orbit satellites across the globe. Majority of the contents flowing over such networks are either academic, research, corporate data bases like banking, finance, IT services, social media, and also specially of the entertainment industry. Every small to large organization in corporate and research and development organization faced problems of computer network congestion over the time. As the demand for more data access is required hence the congestion over the network started to increase. Every nation and individual organization have their own policy to control domestic network traffic as bandwidth is limited and commercial aspects are involved. Various algorithms have focused to regulate network, but very few algorithms exist which focuses on providing alternative paths for better network traffic management. This paper focuses on using modern Genetic Algorithms like Ants colony optimization to first identify congestions over the network and then using such insights to find alternative paths through mutation and cross over. The proposed solution was executed, and generated result comparatively proved that use of Genetic Algorithm has helped to find alternative paths more effectively over the SDN.

Load Balancer Operation Analyses of Video-Conference Service

The need to implement balancing of the video conferencing service (VCS) when used in educational processes is shown. The structure of building a VCS with a load balancer is considered. A computer experiment is being conducted on the VCS. Based on the results of a computer experiment, graphs were generated for the selected BigBlueButton VCS with a load balancer. The graphs of the load on the hardware components of the virtual server at three stages of testing for the central processor, RAM, and network interfaces both within the service and in the structure of the local computer network are given. The results of the analysis of graphs are described in order to identify the key features of the operation of the video conferencing service with a load balancer. The most loaded hardware components of the virtual server are determined. The problems of service operation with the chosen balancing algorithm are formulated.

RESEARCH OF THE POSSIBILITIES OF THE C# PROGRAMMING LANGUAGE FOR CREATING CYBERSECURITY ANALYSIS SOFTWARE IN COMPUTER NETWORKS AND COMPUTER-INTEGRATED SYSTEMS

The object of research in the article are the tools and capabilities of the C# programming language for the implementation of cybersecurity analysis software in local computer networks and computer-integrated systems. The relevance of the study is due to the importance of information security of computer and computer-integrated systems in government, military-industrial complex, private business etc., and due to the importance of training cybersecurity professionals in higher education to consider teaching examples in popular programming languages. The goal of the work is to research the possibilities of the C# programming language for the development of software that analyzes cybersecurity in local computer networks and computer-integrated systems. The tasks to be solved are: to develop software for scanning network device ports in computer networks and computer-integrated systems for information security audit, using tools and libraries of the C# programming language, to research the benefits and possibilities of using this programming language for this task. Research methods: theory of computer networks, object-oriented programming, theory of algorithms and data structures, theory of software testing. Conclusions. In this paper the possibilities and advantages of the C# programming language for developing cybersecurity analysis software for computer and computer-integrated systems were explored. In the course of work software that analyzes information security in local computer networks and computer-integrated systems was developed. This software can be used for educational purposes in learning the C# programming language and cybersecurity of computer systems. The developed software has the potential to be further improved and applied in various fields to test the cybersecurity of local computer networks and computer-integrated technologies.

MANAJEMEN BANDWIDTH MENGGUNAKAN METODE HIERARCHICAL TOKEN BUCKET (HTB) DENGAN PENAMBAHAN BUCKET SIZE USAHA AJ COMP

The internet is currently very much needed because of the increasing use of many people depending on the internet because this information technology is very fast.In this case, it has a very big impact, the need for a very efficient internet service provider is needed. One of the technologies that is becoming a trend in computer networks is wireless computer networks (wireless local area network/WLAN) This technology is the development of local computer network technology (local area network) which allows efficiency in the implementation and development of computer networks that can increase user mobility with computer network technology using cable media. Bandwidth management is a way to manage the internet network for even distribution of bandwidth usage even though many network users use it. Hierarchical token bucket (HTB) one method to do a bandwidth management in this HTB

Choosing a video conferencing service and its adaptation for educational institution

Objectives. The authors aimed to demonstrate the need for implementation of video conferencing service into the learning process, to select a video conferencing service, and to conduct a computer experiment with the selected BigBlueButton video conferencing service.Methods. The problems of choosing a video conferencing service from the list of video conferencing and video conferencing software are considered. At the stage of software selection, the features of its operation, requirements for hardware and for integration into internal information systems are indicated. Load testing of the video conferencing service was carried out by the method of volume and stability testing.Results. The load graphs for hardware components of the virtual server in the long term period are presented. The article describes the results of the graphs analysis in order to identify the key features of the video conferencing service during the test and trial operations.Conclusion. Taking into account the cost of licensing, as well as integration into the e-learning system, a choice of video conferencing service was made. A computer experiment was carried out with the selected BigBlueButton video conferencing service. The features of the hardware operation of the virtual server (on which the BigBlueButton system is located) have been determined. The load graphs for the central processing unit, random access memory and local computer network are presented. Problems of service operation at the stage of load increase are formulated.

Sales System at Bencoolen Coffee and Resto Based on Wireless Local Area Network (WLAN)

The purpose of this research is to develop a system that has been running so far by designing and building a Local Area Network computer network on the sales system at Bencoolen Coffee. Sales system at Bencoolen Coffee And Resto is made using Visual Basic .Net programming language and SQL Server 2008r2 database. This Sales System is based on Wireless Local Area Network with 4 access rights to use the application, namely administrator, cashier, chef, and consumer. With this sales system, it can help Bencoolen Coffe And Resto in managing food and beverage data, as well as daily sales that have been integrated into one unit. The sales system at Bencoolen Coffee And Resto is implemented with 5 laptops connected to 1 local network where 1 laptop is used as a server, 1 laptop is used as an administrator, 1 laptop is used as a chef, 1 laptop is used as a cashier, and 1 laptop is used as a consumer, which has different functions. vary. Based on the results of the tests that have been carried out, the functionality of the Sales system at Bencoolen Coffee And Resto runs as expected, and the system is able to carry out data processing within the scope of the Bencoolen Coffee And Resto network.

Digital platform of the book industry

The article considers the preconditions and possibilities of creating the Digital Platform of the Book Industry (DPBI) on the basis of the databases of the Book Chamber of Ukraine, formed during the years of independence, given the ecosystem of information interaction in the publishing industry.
 It is emphasized that the digitalization of many processes in the publishing business, the COVID-19 pandemic and related quarantine restrictions have made significant adjustments to the technological structure of the industry, accelerating the process of book internetization. These factors are the main prerequisites for building a single information platform that unites publishers, libraries and users, providing them with quality information content and modern analytical services.
 The branch tools which will form a basis of DPBI are considered. These are numerous resources of the Book Chamber of Ukraine, covering electronic catalogs: books, music, art, cartographic and electronic publications; UDC information arrays and UDC and BBK comparison tables; databases: retrospective bibliography, publishers, ISBN and ISMN agencies, print statistics and others.
 The urgent problems that hinder the creation of the DPBI, in particular the modernization of the local computer network of the Book Chamber of Ukraine, the purchase of modern software, as well as a number of organizational issues.

An efficient ant colony optimization framework for HPC environments

Combinatorial optimization problems arise in many disciplines, both in the basic sciences and in applied fields such as engineering and economics. One of the most popular combinatorial optimization methods is the Ant Colony Optimization (ACO) metaheuristic. Its parallel nature makes it especially attractive for implementation and execution in High Performance Computing (HPC) environments. Here we present a novel parallel ACO strategy making use of efficient asynchronous decentralized cooperative mechanisms. This strategy seeks to fulfill two objectives: (i) acceleration of the computations by performing the ants’ solution construction in parallel; (ii) convergence improvement through the stimulation of the diversification in the search and the cooperation between different colonies. The two main features of the proposal, decentralization and desynchronization, enable a more effective and efficient response in environments where resources are highly coupled. Examples of such infrastructures include both traditional HPC clusters, and also new distributed environments, such as cloud infrastructures, or even local computer networks. The proposal has been evaluated using the popular Traveling Salesman Problem (TSP), as a well-known NP-hard problem widely used in the literature to test combinatorial optimization methods. An exhaustive evaluation has been carried out using three medium and large size instances from the TSPLIB library, and the experiments show encouraging results with superlinear speedups compared to the sequential algorithm (e.g. speedups of 18 with 16 cores), and a very good scalability (experiments were performed with up to 384 cores improving execution time even at that scale).

Detection and classification of network attacks using the deepneural network cascade

This article shows the relevance of developing a cascade of deep neural networks for detecting and classifying network attacks based on an analysis of the practical use of network intrusion detection systems to protect local computer networks. A cascade of deep neural networks consists of two elements. The first network is a hybrid deep neural network that contains convolutional neural network layers and long short-term memory layers to detect attacks. The second network is a CNN convolutional neural network for classifying the most popular classes of network attacks such as Fuzzers, Analysis, Backdoors, DoS, Exploits, Generic, Reconnais-sance, Shellcode, and Worms. At the stage of tuning and training the cascade of deep neural networks, the selection of hyperparame-ters was carried out, which made it possible to improve the quality of the model. Among the available public datasets, one ofthe current UNSW-NB15 datasets was selected, taking into account modern traffic. For the data set under consideration, a data prepro-cessing technology has been developed. The cascade of deep neural networks was trained, tested, and validated on the UNSW-NB15 dataset. The cascade of deep neural networks was tested on real network traffic, which showed its ability to detect and classify at-tacks in a computer network. The use of a cascade of deep neural networks, consisting of a hybrid neural network CNN + LSTM and a neural network CNNhas improved the accuracy of detecting and classifying attacks in computer networks and reduced the fre-quency of false alarms in detecting network attacks.

A secured tor local network for nuclear power plant industry

The risk of cyber-attacks on a country has grown drastically. The cyber security risks against critical power infrastructure seem to be worsening. Obviously, any sort of assault on an atomic plant is very concerning. An attack that allows hackers to manipulate the system that control a nuclear reactor, while very difficult, could have very serious consequences. The main reason for this attack is vulnerabilities in local computer networks in power plants. Which has direct access to the internet without any major protection against cyber-attacks like phishing attacks against power plant employees, virus injection tools etc., As the main defense against this attacks is to make power plant networks and employees anonymous to the internet and making sure that no one is tracking the employees which can lead to loss of sensitive information of the plant. The Tor onion networking protocol is best suitable for these types of attacks on employees and computer networks in the power plant. Since providing Tor network for individual employee in practically impossible. Our projected work aims to establish an onion router which provide overall coverage of computer systems and employees which has access to power plant inside the perimeter of power plant. To simulate the plant local networks we construct an internet router using raspberry pi which is configured with Tor onion routing protocol access the internet by computers connected to our Router.