A Modified Present-Chaotic Block Permutation Encryption for Digital Imaging and Communications in Medicine (DICOM) Images
This study introduces a novel lightweight Digital Imaging and Communications in Medicine (DICOM) image encryption algorithm for healthcare Internet of Things (IoT) systems. The proposed algorithm, named Modified PRESENT-Chaotic Block Permutation Encryption for DICOM Images, was subjected to extensive simulation and evaluation against the PRESENT, SIMON, and LEA algorithms. The evaluation metrics for the proposed model include a Peak Signal-to-Noise Ratio (PSNR) of 4.892, a vertical correlation of 0.0182, a horizontal correlation of -0.0132, a diagonal correlation of 0.0625, a Structural Similarity Index (SSIM) of 0.175, an entropy of 15.469, and a Unified Average Change Intensity (UACI) of 33.362. These results demonstrate the proposed model's effectiveness in maintaining image quality and providing robust encryption, making it a suitable candidate for DICOM image encryption in healthcare applications. The benefits of this improved encryption method extend to stakeholders and manufacturers, offering enhanced security for sensitive healthcare information while ensuring high performance and efficiency in IoT systems. This advancement not only protects patient data but also supports the seamless integration of secure image encryption in various healthcare technologies
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