Security of 5G cellular networks

The telecoms industry is undergoing a major transformation towards 5G networks in order to fulfill the needs of existing and emerging use cases. Novel networking, service deployment, storage and processing technologies will be used to provide the necessary services envisioned by 5G. These technologies should bring a lot of new challenges for the 5G cybersecurity systems and its functionality.

 

Therefore, it is highly important to investigate most important security challenges in 5G networks and propose the potential solutions that could lead to secure 5G systems. In these conditions, it is necessary immediately to define new architecture for the 5G and future 6G networks in order to provide novel AI/ML based algorithms which should give great opportunities to provide the highest cybersecurity level and to ensure mobile subscribers, industry, government etc. in overall safety of all processes and lives. That is why the main goal of the project is to develop novel 5G cybersecurity platform with new relevant for the modern and future society trust models, cryptographic algorithms, enhanced critical information infrastructure security etc. This platform will integrate User, Application, and Network Operator-provided preferences, rules, and parameter values to provide the best Cyber Security Level for the user while not compromising network and application providers’ interests.

 

The platform will also contribute to a higher quality of experience (QoE), reduces user and operator burden for different network devices security management, and keeps the device optimally securely connected. It allows users to define preferences and/or permissions for automatic management of connections and services, and allow application/service providers to better adjust application-level QoS to network conditions to result in higher QoE for their users. It also allows operators to retain control of the subscriber’s use of the network and to give the best service possible at a specified price points.

 

PI - Maxim Iavich, CST Professor.

 

Project was funded in the frame of the SRNSFG Applied research (CARYS) grant call, duration – 2 years, total budget 204 330 GEL.