Asymmetric Double-Image Encryption Using Random Audio File and Fourier Transform
摘要
In today’s era, assurance for the secure transmission of data has become the utmost priority. Encryption is a vital tool for safeguarding data and ensuring that it reaches the right individuals only, restricting unauthorized access. This paper presents a novel scheme comprised of two grayscale images encrypted using an audio file. To attain the goal, the scheme leverages a fast Fourier transform and QZ modulation algorithm. Grayscale images are transformed from their spatial domain to their frequency domain. Along with that audio sound map is processed through the Fourier plane. The results are combined to create a black and white output. Phase truncation and phase retrieval operations are performed on the output to generate keys for decryption and for further encryption process respectively. Numerical simulations are carried out to demonstrate the feasibility and security of the proposed scheme. In addition to that low mean square error (MSE) and high Peak-to-Signal Noise Ratio (PSNR) values confirm the robustness of the scheme. For secure data transmission, this scheme offers enhanced security having a mean square error value is as less as about 10–21. However, the introduction of five additional keys for the decryption process significantly contributes to the scheme’s complexity.