Game Theory for 5G Cloud- Edge-Terminal Distributed Networks under DoS Attacks
Ke Yu, Shen Wang, Xiaofeng Tao · 2024
The emergence of fifth-generation (5G) networks and heterogeneous Internet of Things (IoT) demand requires deploying a Cloud-Edge-Terminal Computing distributed network with Software Defined Network (SDN) as the controller. However, this network faces threats, notably Denial-of-Service (DoS) attacks. This paper adopts game theory to explore Mobile Edge Computing (MEC) attack and defense interaction in diverse businesses. Moreover, we propose a three-layer 5G distributed Cloud-Edge- Terminal network featuring an attack-defense game model between DoS attackers and SDN defenders. For the defender's strategy, we use the Eisenberg-Gale (G-E) resource allocation model considering delay, packet loss rate, utility functions, values, sensitivities, and busyness. Heuristic search algorithms analyzing MEC cell impact on strategy selection are developed. The proposed game models are solved, and results are validated through simulations.