Node Selection for Physical Layer Security Using Graph-Based Vertex-Frequency Representation

In multi-hop multi-relay cooperative wireless communication systems, node selection for physical layer security (PLS) is an important problem. By defining secrecy capacity based on localized vertex spectrum (LVS), three optimization problems namely i) the best destination for a given eavesdropper, ii) the upper and lower bounds of secrecy capacity for a given destination and iii) the joint optimal destination-eavesdropper pair which maximizes the secrecy capacity are proposed. The performance of the proposed methods have been shown in terms of secrecy outage probability (SOP) by performing simulations and the enhanced PLS is benchmarked with existing literature.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10889739
Primary Topic
Network Security and Intrusion Detection
Type
article
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Node Selection for Physical Layer Security Using Graph-Based Vertex-Frequency Representation

Nazar Ali, Shaik Basheeruddin Shah, Venugopalachary Kotha, Vijay Kumar Chakka
Network Security and Intrusion Detection
article

Node Selection for Physical Layer Security Using Graph-Based Vertex-Frequency Representation

Nazar Ali, Shaik Basheeruddin Shah, Venugopalachary Kotha, Vijay Kumar Chakka
article en

Abstract

In multi-hop multi-relay cooperative wireless communication systems, node selection for physical layer security (PLS) is an important problem. By defining secrecy capacity based on localized vertex spectrum (LVS), three optimization problems namely i) the best destination for a given eavesdropper, ii) the upper and lower bounds of secrecy capacity for a given destination and iii) the joint optimal destination-eavesdropper pair which maximizes the secrecy capacity are proposed. The performance of the proposed methods have been shown in terms of secrecy outage probability (SOP) by performing simulations and the enhanced PLS is benchmarked with existing literature.

Khalifa University of Science and Technology (AE), Shiv Nadar University (IN)
Openalex Percentile: Top 96%
Network Security and Intrusion Detection
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Node Selection for Physical Layer Security Using Graph-Based Vertex-Frequency Representation — Nazar Ali, Shaik Basheeruddin Shah, et al. · (2025) | TGRS Research Map | TGRS