A node trust factor linked privacy preservation model in 5G networks with a multi-stage authentication model

Abstract

There has been a dramatic expansion in the number and frequency of relationships between entities in mobile telecommunications networks over the last several years. For theseinteractions to be profitable, the parties involved must be able to count on one another. Since mobile networks require trust and reputation models to create feasible communications in 5 G and beyond networks, a collection of entities can create chains of operations between cross-operators with privacy and trustworthiness through mobile telecommunication network models. A major impediment to widespread communication beyond 5 G networks is the absence of automated, efficient, and scalable models for creating security and trust. Multitenancy and active infrastructure sharing will be major facilitators of new business models as 5 G networks expand. New security concerns are emerging due to these new opportunities, which is one of the primary obstacles for the mass implementation of 5 G networks. There are several ways in which attackers might use 5G-enabled situations to undertake lateral moves and disrupt 5 G services and infrastructure resources. Existing trust and security models cannot deal with the dynamic nature of the 5 G infrastructural threats or the multi-tenant security issues. Hence, we propose a Mobile Node Trust Factor Linked Privacy Preservation model for 5 G multi-stage authentication models in this work. A threat model for multi-stage authentication scenarios in an underlying 5 G network infrastructure is used to demonstrate how this model can be used. For secure end-to-end communication, authorization and strong authentication are necessary. A combination of anonymous authentication and authorization is needed to preserve the privacy of mobile devices which share personal information. The proposed model is compared with the traditional models and the proposed model results exhibit better performance.