Channel-Adaptive Secure Noise Modulation for IoT Networks

Serdar Prencuva; Yusuf Islam Tek; Ertugrul Basar

doi:10.1109/LWC.2026.3675009

Channel-Adaptive Secure Noise Modulation for IoT Networks

Serdar Prencuva
, Yusuf Islam Tek
, Ertugrul Basar^*

^*Tämän työn vastaava kirjoittaja

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Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

This letter introduces channel-adaptive secure noise modulation (CAS-NoiseMod), a novel physical layer security (PLS) scheme for future Internet of Things (IoT) networks. Our approach combines noise modulation with channel-adaptive pre-scaling, where information bits are encoded through variance power switching of Gaussian waveforms and signals are scaled by the magnitude of the channel between legitimate partners before transmission. This creates an asymmetric advantage where the legitimate receivers benefit from knowledge of pre-scaling and reciprocal channels, while eavesdroppers experience unintelligible noise signals. Theoretical bit error probability (BEP) expressions are derived for the proposed scheme under Rayleigh fading. Our analysis reveals that secure communication is possible with eavesdroppers exhibiting near-random guessing performance, making CAS-NoiseMod suitable for secure IoT networks.

Alkuperäiskieli	Englanti
Sivut	2244-2248
Sivumäärä	5
Julkaisu	IEEE Wireless Communications Letters
Vuosikerta	15
DOI - pysyväislinkit	https://doi.org/10.1109/LWC.2026.3675009
Tila	Julkaistu - 2026
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

This work was supported by the Scientific and Technological Research Council of Turkiye (TUBITAK) through 1515 Frontier Research and Development Laboratories Support Program for the Turk Telekom 6G Research and Development Laboratory under Project 5249902 and Grant 124E146. The associate editor coordinating the review of this article and approving it for publication was X. Liu.

!!ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/LWC.2026.3675009

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title = "Channel-Adaptive Secure Noise Modulation for IoT Networks",

abstract = "This letter introduces channel-adaptive secure noise modulation (CAS-NoiseMod), a novel physical layer security (PLS) scheme for future Internet of Things (IoT) networks. Our approach combines noise modulation with channel-adaptive pre-scaling, where information bits are encoded through variance power switching of Gaussian waveforms and signals are scaled by the magnitude of the channel between legitimate partners before transmission. This creates an asymmetric advantage where the legitimate receivers benefit from knowledge of pre-scaling and reciprocal channels, while eavesdroppers experience unintelligible noise signals. Theoretical bit error probability (BEP) expressions are derived for the proposed scheme under Rayleigh fading. Our analysis reveals that secure communication is possible with eavesdroppers exhibiting near-random guessing performance, making CAS-NoiseMod suitable for secure IoT networks.",

keywords = "bit error rate, Gaussian distribution, NoiseMod, Physical layer security, wireless channel, wireless security",

author = "Serdar Prencuva and Tek, \{Yusuf Islam\} and Ertugrul Basar",

note = "Publisher Copyright: {\textcopyright} 2026 IEEE.",

year = "2026",

doi = "10.1109/LWC.2026.3675009",

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T1 - Channel-Adaptive Secure Noise Modulation for IoT Networks

AU - Prencuva, Serdar

AU - Tek, Yusuf Islam

AU - Basar, Ertugrul

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N2 - This letter introduces channel-adaptive secure noise modulation (CAS-NoiseMod), a novel physical layer security (PLS) scheme for future Internet of Things (IoT) networks. Our approach combines noise modulation with channel-adaptive pre-scaling, where information bits are encoded through variance power switching of Gaussian waveforms and signals are scaled by the magnitude of the channel between legitimate partners before transmission. This creates an asymmetric advantage where the legitimate receivers benefit from knowledge of pre-scaling and reciprocal channels, while eavesdroppers experience unintelligible noise signals. Theoretical bit error probability (BEP) expressions are derived for the proposed scheme under Rayleigh fading. Our analysis reveals that secure communication is possible with eavesdroppers exhibiting near-random guessing performance, making CAS-NoiseMod suitable for secure IoT networks.

AB - This letter introduces channel-adaptive secure noise modulation (CAS-NoiseMod), a novel physical layer security (PLS) scheme for future Internet of Things (IoT) networks. Our approach combines noise modulation with channel-adaptive pre-scaling, where information bits are encoded through variance power switching of Gaussian waveforms and signals are scaled by the magnitude of the channel between legitimate partners before transmission. This creates an asymmetric advantage where the legitimate receivers benefit from knowledge of pre-scaling and reciprocal channels, while eavesdroppers experience unintelligible noise signals. Theoretical bit error probability (BEP) expressions are derived for the proposed scheme under Rayleigh fading. Our analysis reveals that secure communication is possible with eavesdroppers exhibiting near-random guessing performance, making CAS-NoiseMod suitable for secure IoT networks.

KW - bit error rate

KW - Gaussian distribution

KW - NoiseMod

KW - Physical layer security

KW - wireless channel

KW - wireless security

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M3 - Article

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SP - 2244

EP - 2248

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

ER -

Channel-Adaptive Secure Noise Modulation for IoT Networks

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