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Physical Layer Security Based on Non-Orthogonal Communication Technique with Coded FTN Signaling

Author

Listed:
  • Myung-Sun Baek

    (Department of Electrical Engineering, Sejong University, Seoul 05006, Republic of Korea)

  • Hyoung-Kyu Song

    (Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea
    Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea)

Abstract

In recent years, ensuring communication security at the physical layer has become increasingly important due to the transmission of sensitive information over various networks. Traditional approaches to physical layer security often rely on artificial noise generation, which may not offer robust solutions against advanced interception techniques. This study addresses these limitations by proposing a novel security technique based on non-orthogonal signaling using Faster-than-Nyquist (FTN) signaling. Unlike conventional FTN methods that utilize fixed symbol intervals, the proposed technique employs variable symbol intervals encoded as secure information, shared only with legitimate receivers. This encoding enables effective interference cancellation and symbol detection at the receiver, while preventing eavesdroppers from deciphering transmitted signals. The performance of the proposed technique was evaluated using the DVB-S2X system, a practical digital video broadcasting standard. Simulation results demonstrated that the proposed method maintains smooth communication with minimal performance degradation compared to traditional methods. Furthermore, eavesdroppers were unable to decode the transmitted signals, confirming the enhanced security. This research presents a new approach to physical layer security that does not depend on generating artificial noise, offering a path to more secure and efficient communication systems.

Suggested Citation

  • Myung-Sun Baek & Hyoung-Kyu Song, 2024. "Physical Layer Security Based on Non-Orthogonal Communication Technique with Coded FTN Signaling," Mathematics, MDPI, vol. 12(23), pages 1-14, November.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:23:p:3800-:d:1534117
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    References listed on IDEAS

    as
    1. Amit Kumar & Sujata Jadhav & Omar Mutab Alsalami, 2024. "Reliability and Sensitivity Analysis of Wireless Sensor Network Using a Continuous-Time Markov Process," Mathematics, MDPI, vol. 12(19), pages 1-15, September.
    2. Saleh M. Altowaijri, 2024. "Deduplication-Aware Healthcare Data Distribution in IoMT," Mathematics, MDPI, vol. 12(16), pages 1-22, August.
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