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Harmonic Trust Spectrum Modeling for Cognitive Radio Intrusion Detection, Journal of Telecommunications and Information Technology, 2026, nr 3
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Tytuł: Harmonic Trust Spectrum Modeling for Cognitive Radio Intrusion Detection, Journal of Telecommunications and Information Technology, 2026, nr 3

Autor:

Jeyaseelan, S. ; Velmurugan, P.G.S. ; Prabhakar, G. ; Shanthi, J.

Data wydania:

2026, nr 3

Typ zasobu:

artykuł

Tytuł publikacji grupowej:

2026, nr 3, JTIT-artykuły

Opis:

kwartalnik

Abstrakt:

Cognitive radio networks (CRNs) are highly vulnerable to spectrum spoofing, PU emulation (PUE), and harmonic RF manipulation attacks, which significantly degrade dynamic spectrum access reliability and communication security. This paper proposes a harmonic trust spectrum modeling framework for cognitive radio intrusion detection using multi-domain RF intelligence and adaptive machine learning. The proposed system integrates harmonic spectrum analysis, trust oscillation modeling, spectral entropy analysis, wavelet decomposition, and power spectral density (PSD) characterization to detect anomalous RF behaviors. Three heterogeneous RF datasets were used for experimental evaluation: the RadioML 2016.10A modulation dataset, the Oracle RF fingerprinting IQ dataset, normal signals generated by GNU Radio, and malicious PUE RF signals. The proposed methodology extracts advanced harmonic trust features including spectral entropy, spectral flatness, harmonic trust instability index (HTII), and oscillatory trust divergence (OTD), which are subsequently processed using an adaptive XGBoost-based intrusion detection system. Experimental results demonstrate that malicious RF users exhibit significantly higher spectral instability, irregular harmonic distributions, elevated entropy behavior, and oscillatory trust divergence, compared to legitimate users. Furthermore, studies covering fast Fourier transform (FFT) harmonic spectra, PSD analysis, wavelet coefficient analysis, trust oscillation curves, and confusion matrix evaluations confirm the effectiveness of the proposed framework. The proposed harmonic trust spectrum model provides a computationally efficient and scalable solution for next-generation secure cognitive radio communications and RF cyber defense systems.

Tom:

105

Numer:

3

Wydawca:

National Institute of Telecommunications

Identyfikator zasobu:

oai:bc.itl.waw.pl:2480

DOI:

10.26636/jtit.2026.3.2747

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Licencja:

CC BY 4.0

Właściciel praw:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

cognitive radio networks harmonic trust modeling intrusion detection systems PU emulation XGBoost

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

5 paź 2026

Data dodania obiektu:

5 paź 2026

Liczba wyświetleń treści obiektu:

0

Wszystkie dostępne wersje tego obiektu:

https://bc.itl.waw.pl/publication/2803

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Wyświetl opis w formacie OAI-PMH:

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Nazwa wydania Data
Jeyaseelan, S.; Velmurugan, P.G.S.; Prabhakar, G.; Shanthi, J., Harmonic Trust Spectrum Modeling for Cognitive Radio Intrusion Detection, Journal of Telecommunications and Information Technology, 2026, nr 3 5 paź 2026

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