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High bit rate secure FSO system utilizing Hill coding

  • Adil Fadhil Mushatet , Elaf A. Fadil and Essam N. Abdulla EMAIL logo
Published/Copyright: June 16, 2025
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Abstract

To the best of our knowledge, this study is the first to build a secure free space optical communication system with a high bit rate of 80 Gb/s wavelength division multiplexing using a Hill coding cipher. The signal message was encrypted by applying an algorithm secure coding. According to the obtained results, in the event of favorable weather (fog), the link distance was about 4.4 km. The link distance was degraded in the bad weather (dust) to become 1.4. Furthermore, the suggested system has a communication merit (bitrate product repeater distance) of roughly 352 Gb/s km in fog conditions and 112 Gb/s km in dust conditions. This is regarded as the highest communication merit when compared to prior attempts and investigations. The effectiveness of the proposed encryption cipher has also been evaluated by a revision of various security studies, key space, correlations, histogram analyses, and results comparison with other alternative approaches. When compared to earlier studies and researches, this is thought to have the best communication merit. In addition, According to the outcomes, integrating cryptographic encryption and decryption methods into FSO systems maintained data security and offered resistance to eavesdropping assaults.


Corresponding author: Essam N. Abdulla, Laser Engineering Branch, Laser and Optoelectronics Department, University of Technology–Iraq, Baghdad 10021, Iraq, E-mail:

  1. Research ethics: “The local Institutional Review Board deemed the study exempt from review” if the IRB specifically exempted the study from review.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: This work was not used of Large Language Models, AI and Machine Learning Tools.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2025-04-19
Accepted: 2025-05-25
Published Online: 2025-06-16

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 16.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/joc-2025-0147/pdf
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