Security issues in software-defined radio: a review

Abstract Due to its high data transmission rates, low power consumption, and excellent scalability, software-defined radio (SDR) has increasingly been applied in various fields, such as emergency communications and the internet of things. The successful deployment of SDR depends on the design and implementation of its security mechanisms. However, security threats may compromise fundamental functions through application management, data configuration, or transmission. This paper presents SDR’s basic architecture and security structure, analyzes its security requirements and threats, and elaborates on a series of SDR security detection and protection techniques, proposing several future development directions and challenges.

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Publication Details

Journal
Cybersecurity
Published
2026-01-27
DOI
https://doi.org/10.1186/s42400-025-00433-x
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
Field-Weighted Citation Impact
0.00

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article

Security issues in software-defined radio: a review

Xueguang Zhou, Tong Wu, Wei Fu
Cybersecurity
Cognitive Radio Networks and Spectrum Sensing
article

Security issues in software-defined radio: a review

Xueguang Zhou, Tong Wu, Wei Fu
article en

Abstract

Abstract Due to its high data transmission rates, low power consumption, and excellent scalability, software-defined radio (SDR) has increasingly been applied in various fields, such as emergency communications and the internet of things. The successful deployment of SDR depends on the design and implementation of its security mechanisms. However, security threats may compromise fundamental functions through application management, data configuration, or transmission. This paper presents SDR’s basic architecture and security structure, analyzes its security requirements and threats, and elaborates on a series of SDR security detection and protection techniques, proposing several future development directions and challenges.

CybersecurityVol. 9(1)
Naval University of Engineering (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 81%
Cognitive Radio Networks and Spectrum Sensing
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