Reputation-Based Rogue Node Detection in DSA

To address the increasing demand of wireless resources, dynamic spectrum access (DSA) has been shown to be a promising approach. Cooperative behavior among unlicensed users addresses various challenges in DSA. However, selfish nodes may take advantage of the cooperative behavior to increase their resource utilization at the expense of the population. In this article, we propose a bio-social inspired rogue node detection scheme that leverages trust relationships based on the reputation of individual nodes. We show that the proposed scheme achieves 99% rogue node detection accuracy.

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Published
2025-01-10
DOI
https://doi.org/10.1109/ccnc54725.2025.10976021
Primary Topic
Network Security and Intrusion Detection
Type
article
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article

Reputation-Based Rogue Node Detection in DSA

Truc Duong, Anna Wisniewska, Malcolm G. Anderson
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Network Security and Intrusion Detection
article

Reputation-Based Rogue Node Detection in DSA

Truc Duong, Anna Wisniewska, Malcolm G. Anderson
article en

Abstract

To address the increasing demand of wireless resources, dynamic spectrum access (DSA) has been shown to be a promising approach. Cooperative behavior among unlicensed users addresses various challenges in DSA. However, selfish nodes may take advantage of the cooperative behavior to increase their resource utilization at the expense of the population. In this article, we propose a bio-social inspired rogue node detection scheme that leverages trust relationships based on the reputation of individual nodes. We show that the proposed scheme achieves 99% rogue node detection accuracy.

Washington State University Vancouver (US)
Openalex Percentile: Top 91%
Network Security and Intrusion Detection
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Reputation-Based Rogue Node Detection in DSA — Truc Duong, Anna Wisniewska, et al. · (2025) | TGRS Research Map | TGRS