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• CONSTRUCTION CONCEPT AND ARCHITECTURE CRITICAL INFORMATION SEGMENTS OF THE REGIONAL INFOCOMMUNICATION NETWORK

  I.V. Rodygina, I. I. Buzenkov, Y.V. Kakhanets

  2021-11-14

  Abstract ▼

  Today, in absolute terms, not a single branch of the state can do without modern high-tech
  communications that connect computing systems and remote databases. The use of new information
  and communication technologies as a means of resolving contradictions, as well as a
  means of implicit influence, is becoming a growing threat to the security of the community on the
  world stage. The presented work examines not only the stages of development, but also the main
  trends, approaches to the construction of digital information systems, as well as the characteristic
  threats to information security for them. The article also shows the actual place of critical information
  segments in the general context of the communication system of the Russian Federation.
  The first part of the work reveals the concept of a three-component construction of regional critical
  information segments. The main part focuses on the difference in technologies used to build
  critical information segments. The main part of the article is aimed at identifying the vulnerabilities
  of complex information structures and systems that use the architecture of multiservice communication
  systems. The analysis carried out by the authors allows us to classify the main threats
  to information security both for communication systems built according to classical circuit switching
  schemes, and for communication systems based on new technological principles, basically -
  packet switching. In general, the authors tell us that the idea of a standard and clearly defined
  traffic structure and user interaction procedures, regardless of their type, geographic distance or
  area of its application, together with digital transmission and switching methods, has a revolutionary
  role in the development of communication systems. Special attention should be paid to the
  classification of protocols presented by the authors, which allows to identify the weakest points in
  modern information systems, which should be paid attention to first of all: protocols that ensure
  the functioning of wireless networks, mail protocols, file exchange protocols, and others

• CLASSIFICATION FEATURES OF ENCRYPTED NETWORK TRAFFIC

  N. V. Boldyrikhin , D. A. Korochentsev , F.A. Altunin

  2020-10-11

  Abstract ▼

  Currently, there is growing interest in the tasks of efficient packet network management:
  quality of service, ensuring information security, optimization of the network hardware and software
  resources. All these tasks rely heavily on the analysis and classification of network traffic.
  This traffic is heterogeneous, as a rule, has a pulsating nature, difficult to predict and described by
  the mathematical apparatus of random processes. At different times, the conditions for passingpackets along the same path can vary significantly. At the same time, a significant number of applications
  are appearing requiring latency and jitter. The administration task in this context is to
  correctly configure the switching and routing nodes. Traffic classification allows you to identify
  packages of various applications and services and ensure their prioritization during transmission
  over the network. For example, video conferencing traffic needs to be transmitted first of all, since
  it is very sensitive to delays and jitter, data traffic can be transmitted last. The classification of
  traffic today is an urgent task both in terms of network administration and in terms of ensuring its
  security. Due to the fact that a large number of applications now encrypt the transmitted information
  and it is very difficult to view its contents, the traffic classification is of particular interest,
  which allows indirect signs to determine anomalies in the network, signs of intrusion. In this paper,
  we consider the features of solving the classification problem of encrypted traffic. The aim of
  the work is to study the classification features of encrypted traffic using correlation analysis and
  an algorithm based on the difference in integral areas. Research Objectives: – develop a traffic
  classification algorithm based on correlation and known patterns; – develop an algorithm based
  on the difference of the integral areas under the traffic intensity curves; – conduct a practical
  study of the accuracy of solving the classification problem. The work considers the classification
  of traffic into three groups: audio, video, data. As a result, a sufficient accuracy of the correlation
  algorithm in determining audio and data traffic was revealed. To identify video traffic, it is better
  to use an algorithm based on the difference of the integral areas under the intensity curves.