International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Using the Chaotic to Improve the RC4 Algorithm

Abstract

Image encryption plays a crucial role in ensuring the security and confidentiality of digital image data. This study explores an image encryption approach that employs the RC4 algorithm with the chaotic Logistic Map and with varying key lengths. The encryption quality assesses using metrics such as Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), The Normalized Cross Correlation Coefficient (NCC), Structural Similarity Index Measure (SSIM), and Histogram. Results demonstrated that the Logistic Map-based encryption method successfully balanced image quality and security. The study's contributions lie in offering valuable insights into image encryption techniques, providing a practical method for secure image communication and storage.

Country : Iraq

1 Noor M. Hussein2 Nadia M. Mohammed

  1. Software Engineering Department, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq
  2. Software Engineering Department, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq

IRJIET, Volume 7, Issue 12, December 2023 pp. 158-163

doi.org/10.47001/IRJIET/2023.712022

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References

  1. R. Mohammed, “Secure Image Encryption Scheme Using Chaotic Maps and RC4 Algorithm,” Solid State Technol., 2020.
  2. B. Zolfaghari and T. Koshiba, “Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap,” Appl. Syst. Innov., vol. 5, no. 3, pp. 1–38, 2022, doi: 10.3390/asi5030057.
  3. M. Kumari and S. Gupta, “A Novel Image Encryption Scheme Based on Intertwining Chaotic Maps and RC4 Stream Cipher,” 3D Res., vol. 9, Mar. 2018, doi: 10.1007/s13319-018-0162-2.
  4. D. S. Alani and S. A. Al Iesawi, “Image encryption algorithm based on RC4 and Henon map,” J. Theor. Appl. Inf. Technol., vol. 96, no. 21, pp. 7065–7076, 2018.
  5. N. M. Sahib, A. H. Fadel, and N. S. Ahmed, “Improved RC4 Algorithm Based on Multi-Chaotic Maps Improved RC4 Algorithm Based on Multi-Chaotic Maps,” Res. J. Appl. Sci. Eng. Technol., vol. 15, no. 1, 2018, doi: 10.19026/rjaset.15.5285.
  6. L. M. Jawad, “Secure Image Encryption Scheme Using Chaotic Maps and RC4 Algorithm,” Solid State Technol., no. February, 2022.
  7. D. W. Ahmed, T. M. Jawad, and L. M. Jawad, “AN EFFECTIVE COLOR IMAGE ENCRYPTION SCHEME BASED ON DOUBLE PIECEWISE LINEAR CHAOTIC MAP METHOD AND RC4 ALGORITHM,” J. Eng. Sci. Technol., vol. 16, no. 2, pp. 1319–1341, 2021.
  8. N. Sharma, “Implementation of Stream Cipher RC4 in the Regime of Quantum Communication with QKD,” pp. 0–7, 2023.
  9. M. Abd ulkareem and I. Q. Abduljaleel, “Analysis of a Modified on Rivets Cipher (RC4) Algorithm by Chaotic Algorithm,” J. Educ. Coll. Wasit Univ., vol. 1, no. 27, pp. 473–484, 2017, doi: 10.31185/eduj.vol1.iss27.72.
  10. H. Kholidy and K. Alghathbar, A New Accelerated RC4 Scheme using “Ultra Gridsec” and “HIMAN” and use this Scheme to secure “HIMAN” Data. 2009. doi: 10.1109/IAS.2009.140.
  11. S. Chen, S. Feng, W. Fu, and Y. Zhang, “Logistic map: Stability and entrance to chaos,” J. Phys. Conf. Ser., vol. 2014, no. 1, 2021, doi: 10.1088/1742-6596/2014/1/012009.
  12. Ł. Pawela and K. Życzkowski, “Matrix logistic map: fractal spectral distributions and transfer of chaos,” arXiv:2303.06176v1, pp. 1–8, 2023, [Online]. Available: http://arxiv.org/abs/2303.06176.

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