Providing confidentiality for medical image—an enhanced chaotic encryption approach

Abstract

This study presents an encryption algorithm to secure the medical images using enhanced chaotic economic map. The different enhanced chaotic economic maps are derived and studied with respect to their bifurcate nature and Lyapunov exponents. The enhanced maps are utilized for chaotic sequence generations. These sequences are employed for confusing, diffusing, and swapping the 16-bit DICOM image’s pixels, thereby assure confidentiality. After scrambling, the different security analyses such as statistical, entropy, differential, key space analysis are performed to prove the effectiveness of the proposed algorithm.