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Bilateral hashing model of ECG signal encryption system using downhill peak follow (DPF)-based encryption technique

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Abstract

This research suggests a unique ECG security solution based on the data pattern-based encryption paradigm to address security issues in ECG signal transmission or storage environments. According to this concept, the encryption system controls the data security process by extracting key signatures from the ECG signal peaks to identify the characteristics or attributes of the data and encrypt it. To estimate the hashing qualities, the approach is to build a random key pattern based on the signal peaks and extract the signature. The signal was then encrypted and sent to a doctor or signal analyzer. Bilateral random hashing (BRH) is used to achieve this. This updates the hashing generation model by analyzing the parameters using probabilistic distributional characteristics. This crucial motif was applied. This key pattern was utilized to encrypt the data samples using the downhill peak follow (DPF) encryption technique, which follows the strength of the peak value in the ECG waveform. This suggested project is carried out using MATLAB scripting.

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Data availability

The datasets analysed during the current study are not publicly available, but can be shared by the corresponding author on reasonable request.

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Acknowledgements

A heartfelt thanks to professor, college, place, by authors for providing them the mandatory facilities to complete the project effectively.

Funding

Authors Sanjeev Kumar A N and Ramesh Naik B have not received research grants from organizations.

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Authors and Affiliations

  1. Department of CSE, GITAM School of Technology, GITAM Deemed to University, Bengaluru, India

    A. N. Sanjeev Kumar & B. Ramesh Naik

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  1. A. N. Sanjeev Kumar
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  2. B. Ramesh Naik
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Correspondence to A. N. Sanjeev Kumar.

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Author Sanjeev Kumar A N declares that he has no conflict of interest. Author Ramesh Naik B declares that he has no conflict of interest.

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Kumar, A.N.S., Naik, B.R. Bilateral hashing model of ECG signal encryption system using downhill peak follow (DPF)-based encryption technique. Soft Comput 27, 11843–11851 (2023). https://doi.org/10.1007/s00500-023-08684-x

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