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Secure Image Encryption Using Single-Mode Fiber and Dense Wavelength Division Multiplexing in Chaotic Systems

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Computational Science and Its Applications – ICCSA 2024 Workshops (ICCSA 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14815))

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Abstract

The integration of the advanced technologies of the current landscape (The Internet of Things (IoT), Artificial Intelligence (AI), smart devices, and so forth) has converted the security issue into a significant matter, particularly in cases, when the data is transferred through different insecure channels. However, the necessity for robust and innovative security of data through transmission is still a challenge. The sensitivity of the chaotic systems to their initial conditions and control parameters makes them a reasonable choice for such purposes. This application for Dense Wavelength Division Multiplexing (DWDM) is designed to enhance long-distance communication by increasing the transmission capacity. Our design uses four channels each with a bit rate of 10 Gbs. To ensure the security of the data sent through this method, a novel 5D-chaotic system serves as an encryption key for images. This approach enables the safe transmission of images over a 150 km distance at a capacity of 40 Gbps. The simulation results are obtained by hybridizing Matlab and Optisystem software. Accordingly, the study evaluates the encryption's security using measures such as histogram analysis, correlation coefficient analysis, and information entropy. Findings show enhanced security and efficiency across longer distances.

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Acknowledgments

This work was accomplished at the University of Technology, Iraq, and the Faculty of Computer Science and Information Technology, Universiti Malaya, Malaysia and it is funded by the Universiti Malaya RMFI2067-2021 Grant.

Author information

Authors and Affiliations

  1. Department of Applied Sciences, University of Technology, Baghdad, Iraq

    Nadia M. G. Al-Saidi

  2. Department of Computer System and Technology, Faculty of Computer Science and, Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Suzan J. Obaiys & Nawras A. Alwan

  3. Department of Mathematics, College of Science, Mustansiriyah University, Baghdad, Iraq

    Arkan J. Mohammed

  4. Department of Computer Sciences, University of Technology, Baghdad, 110066, Iraq

    Alaa Kadhim Farhan

  5. Chan Medical School, University of Massachusetts (UMass), 55 Lake Avenue North, Worcester, MA, , 01655, USA

    Yeliz Karaca

Authors
  1. Nadia M. G. Al-Saidi
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  2. Suzan J. Obaiys
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  3. Nawras A. Alwan
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  4. Arkan J. Mohammed
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  5. Alaa Kadhim Farhan
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  6. Yeliz Karaca
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Corresponding author

Correspondence to Suzan J. Obaiys .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. School of Engineering, University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Department of Civil and Environmental Engineering and Architecture, University of Cagliari, Cagliari, Italy

    Chiara Garau

  4. Faculty of Information Technology, Clayton Campus, Monash University, Clayton, VIC, Australia

    David Taniar

  5. Algoritmi Research Centre, University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  6. Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy

    Maria Noelia Faginas Lago

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Al-Saidi, N.M.G., Obaiys, S.J., Alwan, N.A., Mohammed, A.J., Farhan, A.K., Karaca, Y. (2024). Secure Image Encryption Using Single-Mode Fiber and Dense Wavelength Division Multiplexing in Chaotic Systems. In: Gervasi, O., Murgante, B., Garau, C., Taniar, D., C. Rocha, A.M.A., Faginas Lago, M.N. (eds) Computational Science and Its Applications – ICCSA 2024 Workshops. ICCSA 2024. Lecture Notes in Computer Science, vol 14815. Springer, Cham. https://doi.org/10.1007/978-3-031-65154-0_5

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  • DOI: https://doi.org/10.1007/978-3-031-65154-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-65153-3

  • Online ISBN: 978-3-031-65154-0

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