The increasing reliance on digital imagery has stimulated a demand for robust image encryption, prompting extensive research. However, there is a notable gap in well-developed fast encryption schemes, especially for large color images. This study addresses this gap by introducing a secure, efficient algorithm suitable for real-time applications. The methodology involves leveraging two-dimensional logistic–cosine–sine map with a crucial role for generating chaotic key series which are utilized for encrypting color images. At first, pixels of the plain image is permutated by using the index of key series than the resultant pixels are encrypted by using key series with logical XOR operation. Encryption results on test images demonstrated that the proposed scheme shows good performances in terms of key space and key sensitivity analysis, differential, and robustness analysis. The performance of the proposed model validated by comparing the performance matrix results with the state of the art.

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A Fusion 2D Logistic–Cosine–Sine Map-Based Secure Color Image Communication

  • Sujarani Rajendran,
  • Sumathi Amarnath,
  • Manivannan Doraipandian,
  • Ramya Sababathi

摘要

The increasing reliance on digital imagery has stimulated a demand for robust image encryption, prompting extensive research. However, there is a notable gap in well-developed fast encryption schemes, especially for large color images. This study addresses this gap by introducing a secure, efficient algorithm suitable for real-time applications. The methodology involves leveraging two-dimensional logistic–cosine–sine map with a crucial role for generating chaotic key series which are utilized for encrypting color images. At first, pixels of the plain image is permutated by using the index of key series than the resultant pixels are encrypted by using key series with logical XOR operation. Encryption results on test images demonstrated that the proposed scheme shows good performances in terms of key space and key sensitivity analysis, differential, and robustness analysis. The performance of the proposed model validated by comparing the performance matrix results with the state of the art.