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Bulletin of Shakarim University. Technical Sciences

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CELL NETWORK ANOMALY DETECTION METHODS

Abstract

 The growth of mobile devices covers many aspects of security, from protecting user information to protecting mobile providers from fraudulent use of their services: cloning SIM cards, routing foreign traffic through intruders' own servers, etc. The main requirements for the gradually and inevitably growing mobile cellular networks are: high bandwidth; low capital costs; low operating costs. These aspects are dictated by the requirements of high-speed access to communication services for little money. Therefore, radio access technologies and cellular networks are constantly evolving and are trying to achieve a more efficient use of radio resources. One of these solutions is the detection of anomalies. This article discusses the problems of information security Big Data in the networks of a mobile operator. As well as features of the application of anomaly detection in cellular networks.

About the Authors

B. Moldabekov
Алматинский университет энергетики и связи имени Г. Даукеева
Kazakhstan


K. Zenkovich
Университет имени Шакарима города Семей
Kazakhstan


References

1. Бондаровець С. С. Сучасні методи виявлення аномалій / С. С. Бондаровець // «ITSEC»: VI міжнар. наук.-техн. конф.: тези доп. - К.: НАУ, 2016.- С. 76-77.

2. Feldman R. Techniques and applications for sentiment analysis / R. Feldman. - USA: Communications of the ACM, 2013. - P. 82-89.


Review

For citations:


Moldabekov B., Zenkovich K. CELL NETWORK ANOMALY DETECTION METHODS. Bulletin of Shakarim University. Technical Sciences. 2020;(4(92)):57-60. (In Russ.)

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ISSN 2788-7995 (Print)
ISSN 3006-0524 (Online)
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