Trust-aware task load balancing in multi-access edge computing based on blockchain and a zero trust security capability framework

The need for low-latency service support at the network edge has increased due to new applications such as autonomous vehicles, facial recognition, and augmented reality. Multi-access edge computing (MEC) has emerged as a promising component of next-generation 5G and 6G networks that provides additional storage and computing capacity at the network edge to enhance application performance, load balancing, and reduce latency. Security challenges remain, and a zero trust security framework has the potential to reduce risk and improve visibility. A zero trust management module is introduced to authenticate users after a successful registration. This article presents a three-layer MEC model implementing a trust-aware load balancing decision process. A Q-learning algorithm is used to estimate trust values. Task trust and indirect trust relationships are recorded using blockchain technology. Blockchain will enable a transparent and secure mechanism that contributes to secure resource management in an MEC environment. The results provided by a framework simulation highlight the improved security outcome.