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Tri-level scrambling and enhanced diffusion for DICOM image cipher- DNA and chaotic fused approach

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Abstract

Tele-health and e-healthcare are some of the innovative e-commerce appliances that can eliminate the barrier between time and distance among health care centres and patients. The proposed work approaches the obstacle to secure digital medical image data in a public cloud. The most crucial part of e-healthcare and telemedicine industries is cyber-attacks. To thwart cyber-attacks, it is necessary to protect the medical images and transmit them securely. In this paper, a novel way of scrambling and Deoxyribonucleic Acid (DNA) sequence operations is performed to encrypt the digital medical images. A chaotic tri-level scrambling is carried out by a two dimensional Tinkerbell map. Experimental outcomes and security analyses such as statistical, differential, keyspace, encryption quality, along with chosen-plaintext attack analysis have been perpetrated to determine the feasibility and potency of the proposed Digital Imaging and Communications in Medicine (DICOM) image encryption method. The algorithm attains average entropy of 7.99 and near-zero correlation with NPCR and UACI of 99.6 and 33.4, respectively. Further, the efficiency of the algorithm is compared with the state of the literature encryption techniques.

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Acknowledgements

Authors thank Department of Science & Technology, New Delhi for the FIST funding (SR/FST/ET-II/2018/221). Also, Authors wish to thank the Intrusion Detection Lab at School of Electrical & Electronics Engineering, SASTRA Deemed University for providing infrastructural support to carry out this research work.

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  1. School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India

    S Aashiq Banu & Rengarajan Amirtharajan

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Correspondence to Rengarajan Amirtharajan.

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Aashiq Banu, S., Amirtharajan, R. Tri-level scrambling and enhanced diffusion for DICOM image cipher- DNA and chaotic fused approach. Multimed Tools Appl 79, 28807–28824 (2020). https://doi.org/10.1007/s11042-020-09501-5

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  • DOI: https://doi.org/10.1007/s11042-020-09501-5

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