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Secured Transmission of Clinical Signals Using Hyperchaotic DNA Confusion and Diffusion Transform

S. J. Sheela, K. V. Suresh, Deepaknath Tandur

Source Title: International Journal of Digital Crime and Forensics (IJDCF)11(3)

ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781522565161|DOI: 10.4018/IJDCF.2019070103

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MLA

Sheela, S. J., et al. "Secured Transmission of Clinical Signals Using Hyperchaotic DNA Confusion and Diffusion Transform." IJDCF vol.11, no.3 2019: pp.43-64. http://doi.org/10.4018/IJDCF.2019070103

APA

Sheela, S. J., Suresh, K. V., & Tandur, D. (2019). Secured Transmission of Clinical Signals Using Hyperchaotic DNA Confusion and Diffusion Transform. International Journal of Digital Crime and Forensics (IJDCF), 11(3), 43-64. http://doi.org/10.4018/IJDCF.2019070103

Chicago

Sheela, S. J., K. V. Suresh, and Deepaknath Tandur. "Secured Transmission of Clinical Signals Using Hyperchaotic DNA Confusion and Diffusion Transform," International Journal of Digital Crime and Forensics (IJDCF) 11, no.3: 43-64. http://doi.org/10.4018/IJDCF.2019070103

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Abstract

Secured transmission of electrophysiological signals is one of the crucial requirements in telemedicine, telemonitoring, cardiovascular disease diagnosis (CVD) and telecardiology applications. The chaotic systems have good potential in secured transmission of ECG/EEG signals due to their inherent characteristics relevant to cryptography. This article introduces a new cryptosystem for clinical signals such as electrocardiograms (ECG) and electroencephalograms (EEG) based on hyperchaotic DNA confusion and diffusion transform (HC-DNA-CDT). The algorithm uses a hyperchaotic system with cubic nonlinearity and deoxyribonucleic acid (DNA) encoding rules. The performance of the cryptosystem is evaluated for different clinical signals using different encryption/decryption quality metrics. Simulation and comparison results show that the cryptosystem yield good encryption results and is able to resist various cryptographic attacks. The proposed algorithm can also be used in picture archiving and communication systems (PACS) to provide an efficient sharing of medical image over the networks.