Застосування схеми шифрування line в механізмі інкапсуляції ключів для протоколу автентифікації в мережах 5G

The 5G network is a key driver of digital transformation and the Fourth Industrial Revolution. The services offered by the 5G platform are synergistic and scalable, allowing for significantly increased data rates across different radio access technologies (RATs). 5G technology allows companies to connect more devices with faster information exchange, which leads to increased potential vulnerabilities and significantly expanded threat and attack vectors. Security and privacy issues, such as network spoofing and lack of privacy in previous RAN generations, have been closely studied by security experts. To address these issues, the 3GPP standardization bodies have defined the AKA authentication and key management protocol and procedures. These include mutual authentication between user devices and the network, signal integrity and confidentiality, and derivation of cryptographic keys to protect U-plane and C-plane data. However, there are significant vulnerabilities in the 5G network APIs, in particular regarding weak protection of user personal data and the possibility of unauthorized access to IoT devices. These vulnerabilities are critical for remote control systems. The 5G-AKA protocol has been found to have shortcomings and it is generally believed that AKA does not provide adequate protection of personal data from active attackers. It is noted that AKA needs to be endowed with essential security features that are currently missing. The paper considers the implementation of quantum-protected encryption for the development of authentication protocols and key distribution in networks. The paper presents a key encapsulation algorithm based on the LINE cryptosystem with logarithmic signatures for the development of authentication and key coordination protocols in 5G networks. The use of LINE directional encryption offers advantages in scalability and heterogeneity, optimizing the computational and operational costs of the network.