Trust-Aware Resource Management for Secure and Optimal Network Slicing in 5G Mobile Edge Networks

In 5G mobile edge networks, the increased attack surface promotes the need for trust management while maintaining optimal resource provisioning. This work addresses this challenge by proposing a trust management scheme that monitors tasks' end-to-end delay to secure the network against denial-of-service attacks. We formulate an optimal network slicing problem that minimizes the overall end-to-end delay. Leveraging techniques from distributed optimization and Bayesian methods, we develop iterative algorithms to achieve a trust-aware resource management scheme that can achieve efficient and resilient network resource provisioning. We use the edge network in hierarchical tree topology and three kinds of 5G edge devices to evaluate the proposed scheme. Extensive simulation results show the effectiveness and scalability of the proposed scheme, which can quickly help services recover from cyber-attacks.