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76786

Chaotic Encryption of ECG Signals with a Random Kernel Approach

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Last updated: 25 Dec 2024

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Abstract

Security of biometric data is very important in the healthcare domain. Due to uniqueness of electrocardiogram (ECG) is very high even in identical twins, so it can be used as biometric signature.This paper introduces a simple efficient ECG encryption technique based on random kernel approach. As ECG signals contain sensitive confidential information with details for patient identification, it needs to be encrypted before transmission through public network to avoid the data being breached and hacked. The security of the proposed system will depend on random kernel coefficients, substitution process and length of kernel filter. Simulation results show that the proposed system is capable of encrypting ECG signals for secure communication efficiently.

DOI

10.21608/mjeer.2019.76786

Keywords

Encryption, ECG signals, Secure communication

Authors

First Name

Samer

Last Name

Amr

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications Faculty of Electronic Engineering Menouf, Egypt

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Orcid

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First Name

Hossam El din

Last Name

Hussein

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications Faculty of Electronic Engineering Menouf, Egypt

Email

-

City

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Orcid

-

First Name

Noha

Last Name

Ramadan

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications Faculty of Electronic Engineering Menouf, Egypt

Email

-

City

-

Orcid

-

First Name

Walid

Last Name

El-Shafai

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications Faculty of Electronic Engineering Menouf, Egypt

Email

eng.waled.elshafai@gmail.com

City

-

Orcid

0000-0001-7509-2120

First Name

Waleed

Last Name

El-Hanafy

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications Faculty of Electronic Engineering Menouf, Egypt

Email

-

City

-

Orcid

-

First Name

Fathi E.

Last Name

Abd El-Samie

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications Faculty of Electronic Engineering Menouf, Egypt

Email

-

City

-

Orcid

-

Volume

28

Article Issue

ICEEM2019-Special Issue

Related Issue

9704

Issue Date

2019-12-01

Receive Date

2020-03-10

Publish Date

2019-12-01

Page Start

115

Page End

121

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_76786.html

Detail API

https://mjeer.journals.ekb.eg/service?article_code=76786

Order

42

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Chaotic Encryption of ECG Signals with a Random Kernel Approach

Details

Type

Article

Created At

22 Jan 2023