Master’s Thesis at The Faculty of Computer Science and Mathematics, Department of Computer Science Discussing the “Image Encryption using Individually Inverted Cubic Curves

The Faculty of Computer Science and Mathematics, Department of Computer Science, discussed the Master’s thesis titled “Image Encryption Using Individually Inverted Cubic Curves” by Mohammad Jabbar Obeid. The study aims to propose an algorithm for asymmetric image encryption based on individually inverted cubic curves and chaotic functions. This innovative algorithm integrates the asymmetric encryption system of individually inverted cubic curves with chaotic functions to create a new asymmetric coding system. The resulting system exhibits properties of diffusion and confusion during the encryption process.
The proposed algorithm utilizes individually inverted cubic curves to generate a key, which is then used as an input for chaotic maps responsible for image encryption. The thesis introduces two algorithms for image encryption, accommodating both colored and grayscale images. The effectiveness of the proposed algorithms is thoroughly evaluated using various analytical techniques. The evaluation includes the analysis of key size and key sensitivity, statistical analysis, information entropy, mean squared error, signal-to-noise ratio, and differential attack analysis. The thesis has been successfully accepted.