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JAIT 2022 Vol.13(5): 433-440
doi: 10.12720/jait.13.5.433-440

A Reversible Data Hiding through Encryption Scheme for Medical Image Transmission Using AES Encryption with Key Scrambling

Kandala Sree Rama Murthy and V. M. Manikandan
Computer Science and Engineering, SRM University-AP, Andhra Pradesh, India

Abstract—Reversible Data Hiding (RDH) is an active area of research having numerous applications in the field of medical image transmission for transmitting clinical reports along with medical images. The existing RDH schemes are categorized into RDH in natural images, RDH in encrypted images, and RDH through encryption. In this research work, we have considered RDH through encryption and used advanced standard encryption techniques. An RDH through encryption scheme in medical image transmission will take a medical image, a clinical report (text file) and an encryption key as inputs and produce an encrypted image as the output. Note that the clinical report is embedded in the medical image as part of the encryption process. In the proposed scheme, the original image is divided into non-overlapping blocks, and AES encryption is performed on each block to get the encrypted image. The key used in AES encryption is scrambled by Arnold transform d times for each block, where d is the data bit that is to be embedded in that block. At the receiver side, the data extraction and image restoration will be carried by analyzing the texture property of image blocks generated through the AES decryption process with all the Arnold transform versions of the AES key. The experimental study is done on medical and natural images to analyze various efficiency parameters such as embedding rate, bit error rate, Peak Signal to Noise Ratio (PSNR), and Structural Similarity Index (SSIM).
 
Index Terms—reversible data hiding, medical image transmission, AES encryption, Arnold transform
 
Cite: Kandala Sree Rama Murthy and V. M. Manikandan, "A Reversible Data Hiding through Encryption Scheme for Medical Image Transmission Using AES Encryption with Key Scrambling," Journal of Advances in Information Technology, Vol. 13, No. 5, pp. 433-440, October 2022.

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