System Architecture Design for Spoofing Detection Based on Baseband Information

This paper evaluates the performance of two anti-spoofing algorithms, studies the performance boundary of anti-spoofing technology under multiple parameters, verifies its reliability and effectiveness in the face of multiple spoofing attack ways, and provides a judgment basis for scheme selection. Moreover, combining the complementarity of advantages of different spoofing detection technologies, the detection probability in joint detection scenarios is calculated, it provides effective support for various spoofing scenarios. This paper then proposes an anti-spoofing system architecture based on baseband information. The architecture utilizes multi-dimensional and multi-feature signal analysis, and combines various spoofing parameters using specific group strategies, so as to obtain a more comprehensive reference for detection effects.

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Published
2025-04-11
DOI
https://doi.org/10.1109/wccct65447.2025.11028020
Primary Topic
Wireless Communication Networks Research
Type
article
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article

System Architecture Design for Spoofing Detection Based on Baseband Information

Zhen Peng, Ao Peng, Jianghong Shi
Wireless Communication Networks Research
article

System Architecture Design for Spoofing Detection Based on Baseband Information

Zhen Peng, Ao Peng, Jianghong Shi
article en

Abstract

This paper evaluates the performance of two anti-spoofing algorithms, studies the performance boundary of anti-spoofing technology under multiple parameters, verifies its reliability and effectiveness in the face of multiple spoofing attack ways, and provides a judgment basis for scheme selection. Moreover, combining the complementarity of advantages of different spoofing detection technologies, the detection probability in joint detection scenarios is calculated, it provides effective support for various spoofing scenarios. This paper then proposes an anti-spoofing system architecture based on baseband information. The architecture utilizes multi-dimensional and multi-feature signal analysis, and combines various spoofing parameters using specific group strategies, so as to obtain a more comprehensive reference for detection effects.

Xiamen University (CN)
Openalex Percentile: Top 86%
Wireless Communication Networks Research
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