ECG signals recruitment to implement a new technique for medical image encryption
Azmi Shawkat Abdulbaqi, Ahmed J. Obaid, Alyaa Hashem Mohammed
Abstract
Electrocardiogram (ECG) signal utilization for medical image encryption (ImgEnc) algorithm was proposed in this manuscript. It will utilize the chaotic logistic map and the generalized Arnold map (Cat Map). To generate initial conditions for Chaotic Maps (ChMp), the ECG signal and wolf algorithm are utilized. Autoblocking diffusion (AutBlk) is done only in the process of encryption. A control parameter generated from the plain-image (Plainimg) generates the main stream, which is effective and safe against selected plaintext (Plaintxt) and known Plaintxt attacks. Experimental findings show that with good efficiency, the proposed algorithm can achieve high security.
Topics & Concepts
EncryptionLogistic mapChaoticComputer scienceImage (mathematics)SIGNAL (programming language)AlgorithmPlaintextProcess (computing)Data miningArtificial intelligenceComputer visionComputer securityOperating systemProgramming languageChaos-based Image/Signal EncryptionCryptographic Implementations and SecurityAdvanced Steganography and Watermarking Techniques