Image Messages Security Using the Elkamchouchi-Elshenawy-Shaban Algorithm, Logistic Chaos, and XOR

The rise of digital technology necessitates robust methods for securing image transmissions against interception and theft. This research presents a web-based application for encrypting and decrypting image files using the Elkamchouchi-Elshenawy-Shaban algorithm, Logistic Map, and XOR operations. The Elkamchouchi-Elshenawy-Shaban cryptosystem extends RSA with Gaussian integers for enhanced security, while the Logistic Map introduces complexity through chaotic behavior, and XOR operations ensure data confidentiality. Developed with Python and Laravel, the application includes functionalities for login, registration, key generation, encryption, decryption, and key management. Testing confirmed the method's effectiveness, with decrypted images matching the originals. Results showed encryption and decryption times for the Elkamchouchi-Elshenawy-Shaban algorithm increase with key size, while Logistic Map and XOR operations remain unaffected, achieving processing times under one second per cycle. This application provides a secure and efficient solution for protecting image data, leveraging hybrid cryptosystems to ensure safe transmission.