Stages of the Virtual Technical Functions Concept Networks Development

Self Cite

Currently, cellular networks have become widespread, the operators of which simultaneously use the infrastructure of the second-generation GSM networks, DCS to build third-generation W-CDMA networks that provide broadband multiple access with code division. At the same time, the problem of providing high-speed Internet connections is exacerbated due to the growing volume of data of diverse types transmitted over the Internet. When testing the entire network coverage area, the total number of voice calls increases, so a method of long-term measurement of the bit rate of information transmission via wireless communication channels is proposed, which does not increase the service information in the network. Mathematical modeling of Internet traffic consumption using the proposed measurement method is performed and entropy estimates of information channel bandwidth are given.

Section: Literature Reviewmentioning

confidence: 99%

Method for Evaluation Quality Parameters of Telecommunications Services

Zablotskyi

Selepyna²,

Lyshuk³

et al. 2022

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“…Mobile communication systems are developing at a very fast pace. Considering the evolution of mobile communication systems, we come to the concept of "generations" [2]. The first to be fully digital were second-generation (2G) mobile communication systems.…”

Section: Introductionmentioning

confidence: 99%

Methods for Ensuring Data Security in Mobile Standards

Moroz

Tkachuk

Khvyshchun

et al. 2022

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The analysis of mobile communication standards is carried out, the functional structure and interfaces of interaction between the structural elements of the cellular network are considered. To understand the principle of communication according to the GSM standard, a block diagram of a mobile switching center (MSC), base station equipment (BSS), control and service center (MCC), mobile stations (MS) is presented. The main algorithms for ensuring the confidentiality and security of mobile subscribers' data, in different types of standards, as well as the vulnerabilities of information flows are considered. In particular, the following dangerous types of attacks have been identified, to which mobile network subscribers are sensitive: sniffing; leakage of personal data; leakage of geolocation data; spoofing; remote capture of SIM-card, execution of arbitrary code (RCE); denial of service (DoS). It is established that the necessary function of the mobile network is the identification of subscribers, which is performed by IMSI, which is recorded in the SIM card of the subscriber and the HLR of the operator. To protect against spoofing, the network authenticates the subscriber before starting its service. In the case of subscriber identification, the subscriber and the network operator are protected from the effects of fraudulent access. In addition, the user must be protected from eavesdropping. This is achieved by encrypting the data transmitted over the radio interface. Thus, user authentication in UMTS, as well as in the GSM network, is carried out using encryption with a common key using the "hack-response" protocol (the authenticating party sends a random number to the authenticated party, which encrypts it according to a certain algorithm using a common key and returns the result back).

“…Link-level congestion is monitored through channel utilization. In this case, network flows are analyzed and not individual network packets (network flows are one-way meta-information about network packets that have the same source and destination IP address and ports, as well as the IP protocol type) [3,4].…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Link-Level Congestion in Telecommunication Systems Using Information Criteria

Yakymchuk

Selepyna²,

Yevsiuk³

et al. 2022

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The successful functioning of telecommunication networks largely depends on the effectiveness of algorithms for detection and protection against overloads. The article describes the main differences that arise when forecasting, monitoring and managing congestion at the node level and at the channel level. An algorithm for detecting congestion by estimating the entropy of time distributions of traffic parameters is proposed. The entropy measures of data sets for various types of model distribution, in particular for the Pareto distribution, which optimally describes the behavior of self-similar random processes, were calculated and analyzed. The advantages of this approach include scalability, sensitivity to changes in distributions of traffic characteristics and ease of implementation and accessible interpretation.