Secure Model for Mobile Network-Slice in Fifth Generation and Beyond

Abstract

5G is a key enabler in meeting the growing demands for many future services such as virtual reality, augmented reality, healthcare, smart cities, and the Internet of Things (IoT). Which differ in data rate, connection, and response time. To meet the diverse requirements of services, network slicing and edge computing have been promising solutions in the 5G environment. However, current registration and authentication mechanisms cannot support network slice services; users changing their slice leads to different preferences and requirements. This led to the emergence of a new form of handover called inter-slice handover. Which may cause difficult issues, such as quality of service, confidentiality and privacy violations, and wasted resources. This thesis presents a Fast and Secure Registration and Authentication (FRAS2) model. that supports network slicing and is based on Cryptographically Secure Pseudo-Random Number Generators (CSPRNGs) and Elliptic Curve Cryptography (ECC). Blockchain and Chameleon Hashing. To address these issues, the registration process ends with the data being stored on the blockchain and the user receiving the slice/service types and an anonymous ticket. The trapdoor collision feature of chameleon hash functions is used with anonymous ticket and slice/service types in the authentication process. To maintain privacy, tickets were created by CSPRNGs. Thanks to 5G's edge controller capabilities, distributed edge nodes help store anonymous ticket information, ensuring that legitimate users can quickly finish authentication during handover. The performance of the FRAS2 is evaluated through simulation experiments to demonstrate its efficiency and feasibility in a 5G network slice. Experimental results show that the FRAS2 model can improve the registration, authentication, and handover processes. The total delay is reduced by 55.94% when compared with other systems of the same type. This makes the proposed model more suitable for IoT devices.