An Enhanced Data Encryption Standard Algorithm for Securing Medical Images
Keywords:Encryption algorithms, Medical Image Processing,, Data Encryption Standard (DES) algorithm, Ant Colony Optimization (ACO)
Securing medical images on the internet, in public or local networks is very important because they contain sensitive information about the well-being of patients and help health personnel to carry out diagnoses easily. Data Encryption Standard (DES) has been a popular algorithm used for image encryption due to its low memory consumption and good throughput but suffers from high computational time and lossy image problems after decryption. In this paper, the Ant Colony Optimization (ACO) technique was integrated into DES to enhance its performance for medical image encryption. The enhanced and existing DES's performance were measured in terms of memory utilisation, Computational time, output bytes, Mean Square Error (MSE), and Peak signal-to-noise ratio (PSNR) to evaluate differences and draw conclusions. Results showed that the enhanced DES performed better than the existing DES.