A Novel and Low Processing Time ECG Security Method Suitable for Sensor Node Platforms

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Jusak Jusak
Seedahmed Sharif Mahmoud


An anonymisation of electrocardiogram (ECG) signal is essential during the distribution and storage in a public repository. In this paper, we propose a novel low processing time ECG anonymisation method based on the fast Fourier transform (FFT) algorithm that is suitable for sensor node platforms. The proposed framework was developed to address two major constraints in the Internet of Medical Thing environment, i.e., immediate need for securing ECG signal and efficient method for overcoming physical limitation of sensor nodes. Performance evaluation by way of computer simulation over normal and abnormal ECG signals showed that the proposed framework was able to conceal fiducial and non-fiducial features of the ECG signals. Additionally, it showed that the proposed framework offered flexibility in determining the secret key length of the anonymised ECG signal. Strong cross-correlation indicated close similarity between the original and the reconstructed ECG signals implying lossless reconstruction of the original ECG signal. Furthermore, the proposed method achieved a lower processing time security algorithm as compared with the recently proposed wavelet based anonymisation methods.

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How to Cite
Jusak, J., & Mahmoud, S. S. (2018). A Novel and Low Processing Time ECG Security Method Suitable for Sensor Node Platforms. International Journal of Communication Networks and Information Security (IJCNIS), 10(1). https://doi.org/10.17762/ijcnis.v10i1.3169
Research Articles
Author Biographies

Jusak Jusak, Institute of Business and Informatics Stikom Surabaya

Senior Lecturer, Department of Computer Engineering

Seedahmed Sharif Mahmoud, Technical Trainers College (Lincoln College – UK) Riyadh, Kingdom of Saudi Arabic

Dept. of Electronis and Electrical Technology