Secure transmission and monitoring of ECG signals based on chaotic mapping algorithms
ABSTRACTThe rapid advancement of digital healthcare and telemedicine has accentuated the need for robust and secure methods of transmitting sensitive medical data, such as electrocardiogram (ECG) signals. This article presents an innovative approach to ECG signal encryption, leveraging the power of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-07-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2024.2306758 |
| _version_ | 1797257172456833024 |
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| author | G. Rajasree R. Mathusoothana S. Kumar |
| author_facet | G. Rajasree R. Mathusoothana S. Kumar |
| author_sort | G. Rajasree |
| collection | DOAJ |
| description | ABSTRACTThe rapid advancement of digital healthcare and telemedicine has accentuated the need for robust and secure methods of transmitting sensitive medical data, such as electrocardiogram (ECG) signals. This article presents an innovative approach to ECG signal encryption, leveraging the power of chaotic dynamics through the Henon and Baker maps. Chaotic systems have proven to be formidable tools for encryption due to their inherent unpredictability and sensitivity to initial conditions. In this study, we demonstrate the efficacy of Chaotic Henon Map (CHM) and Chaotic Baker Maps (CBM) in encrypting ECG data, ensuring both data privacy and integrity during transmission. Through a detailed exploration of the CHM and CBM, we elucidate their mathematical foundations and unique properties that make them suitable for ECG encryption. The encryption process involves the generation of chaotic keys, which are utilized to scramble the ECG signal in a way that is virtually impossible to decipher without the correct decryption keys. We also discuss the security features of this encryption method, including resistance against common cryptographic attacks. The results of our experiments demonstrate the robustness of this encryption technique in safeguarding sensitive medical information, making it a valuable addition to the toolkit of secure ECG data transmission methods. |
| first_indexed | 2024-04-24T22:33:25Z |
| format | Article |
| id | doaj.art-2fafd2552d45445c8c53b472dc759c67 |
| institution | Directory Open Access Journal |
| issn | 0005-1144 1848-3380 |
| language | English |
| last_indexed | 2024-04-24T22:33:25Z |
| publishDate | 2024-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Automatika |
| spelling | doaj.art-2fafd2552d45445c8c53b472dc759c672024-03-19T13:05:45ZengTaylor & Francis GroupAutomatika0005-11441848-33802024-07-0165395797210.1080/00051144.2024.2306758Secure transmission and monitoring of ECG signals based on chaotic mapping algorithmsG. Rajasree0R. Mathusoothana S. Kumar1Research Scholar, Department of Computer Application, Noorul Islam Centre for Higher Education, Kumarakovil, IndiaProfessor, Department of Information Technology, Noorul Islam Centre for Higher Education, Kumarakovil, IndiaABSTRACTThe rapid advancement of digital healthcare and telemedicine has accentuated the need for robust and secure methods of transmitting sensitive medical data, such as electrocardiogram (ECG) signals. This article presents an innovative approach to ECG signal encryption, leveraging the power of chaotic dynamics through the Henon and Baker maps. Chaotic systems have proven to be formidable tools for encryption due to their inherent unpredictability and sensitivity to initial conditions. In this study, we demonstrate the efficacy of Chaotic Henon Map (CHM) and Chaotic Baker Maps (CBM) in encrypting ECG data, ensuring both data privacy and integrity during transmission. Through a detailed exploration of the CHM and CBM, we elucidate their mathematical foundations and unique properties that make them suitable for ECG encryption. The encryption process involves the generation of chaotic keys, which are utilized to scramble the ECG signal in a way that is virtually impossible to decipher without the correct decryption keys. We also discuss the security features of this encryption method, including resistance against common cryptographic attacks. The results of our experiments demonstrate the robustness of this encryption technique in safeguarding sensitive medical information, making it a valuable addition to the toolkit of secure ECG data transmission methods.https://www.tandfonline.com/doi/10.1080/00051144.2024.2306758ECG encryptionChaotic Henon mapChaotic Baker mapmedical data securitytelemedicinedata privacy |
| spellingShingle | G. Rajasree R. Mathusoothana S. Kumar Secure transmission and monitoring of ECG signals based on chaotic mapping algorithms Automatika ECG encryption Chaotic Henon map Chaotic Baker map medical data security telemedicine data privacy |
| title | Secure transmission and monitoring of ECG signals based on chaotic mapping algorithms |
| title_full | Secure transmission and monitoring of ECG signals based on chaotic mapping algorithms |
| title_fullStr | Secure transmission and monitoring of ECG signals based on chaotic mapping algorithms |
| title_full_unstemmed | Secure transmission and monitoring of ECG signals based on chaotic mapping algorithms |
| title_short | Secure transmission and monitoring of ECG signals based on chaotic mapping algorithms |
| title_sort | secure transmission and monitoring of ecg signals based on chaotic mapping algorithms |
| topic | ECG encryption Chaotic Henon map Chaotic Baker map medical data security telemedicine data privacy |
| url | https://www.tandfonline.com/doi/10.1080/00051144.2024.2306758 |
| work_keys_str_mv | AT grajasree securetransmissionandmonitoringofecgsignalsbasedonchaoticmappingalgorithms AT rmathusoothanaskumar securetransmissionandmonitoringofecgsignalsbasedonchaoticmappingalgorithms |