5G network resilience evaluation mechanism based on Petri Nets

Abstract

As a next-generation mobile communication technology, 5G’s network functions—cloudification, virtualization, and other characteristics enable the network to overcome single-point resource constraints and be deployed flexibly. However, it also exposes more attack surface interfaces to malicious users, who can launch high-traffic Distributed Denial of Service (DDoS) attacks that can seriously affect the resilience of network services. The complexity and dynamics of the 5G system itself make it difficult to capture and measure its resilience. In order to address the issues mentioned above, in this paper, we use Petri Nets to model 5G network systems based on containerized deployment and implement different resilient resource scheduling strategies to mitigate and assess the impact of attack threats on the overall system resilience. By comparing the resilience gains of different resource scheduling strategies in the face of anomalous DDoS attacks, it is effectively demonstrated that adopting appropriate resilient resource scheduling strategies is instructive in reducing the traffic loss caused by DDoS attacks.