A Fairness-Aware Attacker-Defender Model for Optimal Edge Network Operation and Protection
Duong Thuy Anh Nguyen, Jiaming Cheng, Ni Trieu, Duong Tung Nguyen

TL;DR
This paper introduces a fairness-aware attacker-defender model for optimizing edge network operation and protection, ensuring service quality and fairness during disruptions.
Contribution
It presents a novel model that identifies critical nodes for protection, addressing robustness and fairness in edge network planning.
Findings
Ensures good service quality during disruptions.
Maintains fairness among different areas.
Effectively identifies critical nodes for protection.
Abstract
While various aspects of edge computing (EC) have been studied extensively, the current literature has overlooked the robust edge network operations and planning problem. To this end, this letter proposes a novel fairness-aware attacker-defender model for optimal edge network operation and hardening against possible attacks and disruptions. The proposed model helps EC platforms identify the set of most critical nodes to be protected to mitigate the impact of failures on system performance. Numerical results show that the proposed solution can not only ensure good service quality but also maintain fairness among different areas during disruptions.
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Taxonomy
TopicsIoT and Edge/Fog Computing · Software-Defined Networks and 5G · Network Security and Intrusion Detection
