Protecting Digital Heartbeats: Securing Networked ECG Systems from Cyber Attacks

This research focuses on securing networked Electrocardiogram (ECG) systems by using a quantitative approach to evaluate the effectiveness of various cybersecurity measures. With the increasing reliance on networked medical devices, these systems have become vulnerable to cyber-attacks that can compromise data integrity, system functionality, and patient safety. The study quantitatively examines the impact of encryption levels, authentication methods, and network segmentation on system security by measuring variables such as attack success rates, data breach occurrences, and unauthorized access attempts. Statistical analysis, including regression and ANOVA, is applied to determine the significance of these measures. The findings aim to provide data-driven insights into enhancing the security of networked ECG systems, ultimately contributing to safer healthcare environments.

Authors

Publication Details

Journal
International Journal of Engineering Research and Applications
Published
2024-09-01
DOI
https://doi.org/10.9790/9622-14095060
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Protecting Digital Heartbeats: Securing Networked ECG Systems from Cyber Attacks

Engr. Tahir Bashir
International Journal of Engineering Research and Applications
ECG Monitoring and Analysis
article

Protecting Digital Heartbeats: Securing Networked ECG Systems from Cyber Attacks

Engr. Tahir Bashir
article en

Abstract

This research focuses on securing networked Electrocardiogram (ECG) systems by using a quantitative approach to evaluate the effectiveness of various cybersecurity measures. With the increasing reliance on networked medical devices, these systems have become vulnerable to cyber-attacks that can compromise data integrity, system functionality, and patient safety. The study quantitatively examines the impact of encryption levels, authentication methods, and network segmentation on system security by measuring variables such as attack success rates, data breach occurrences, and unauthorized access attempts. Statistical analysis, including regression and ANOVA, is applied to determine the significance of these measures. The findings aim to provide data-driven insights into enhancing the security of networked ECG systems, ultimately contributing to safer healthcare environments.

International Journal of Engineering Research and ApplicationsVol. 14(9)
Openalex Percentile: Top 71%
ECG Monitoring and Analysis
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