INTRUSION DETECTION SYSTEM FOR 5G
Authors: Maksim Iavich, Giorgi Iashvili, Avtandil Gagnidze, Shalva Khukhashvili, Sergei Simonovi
Affiliation: Caucasus University, Scientific Cyber Security Association
ABSTRACT. The telecommunications industry is evolving significantly to implement 5G networks. The new standard must meet the requirements of current and future users. Customers and clients need better quality of service and a high level of security in order for data to be transmitted securely and other internal services to work flawlessly. Consequently, leading mobile operators need to ensure much better customer quality and security, as well as improve the services they offer. The new methodology proposed by 5G requires new approaches to networking, service deployment, and data processing. These approaches are characterized by certain security vulnerabilities that will also be critical for 5G
networks. The world's leading researchers working in this field have already publicly stated the current problems of 5G networks. Analysis presented by us reveals the detailed causes of 5G problems, which allows the attacker to install malicious code in the system and successfully carry out the following attacks: MiTM, MNmap and Battery drain.
We have developed a new system for detecting attacks based on the latest methods of machine and indepth learning. We propose the integration of IDS into the 5G architecture.
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