Enhancing Healthcare Security Through Autonomous Data Protection for IoT Systems in Hospital Environments
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© 2024 by IJCTT Journal
Volume-72 Issue-5
Year of Publication : 2024
Authors : Priyanka Neelakrishnan
DOI :  10.14445/22312803/IJCTT-V72I5P105

How to Cite?

Priyanka Neelakrishnan, "Enhancing Healthcare Security Through Autonomous Data Protection for IoT Systems in Hospital Environments," International Journal of Computer Trends and Technology, vol. 72, no. 5, pp. 40-50, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I5P105

Abstract
In the dynamic realm of healthcare technology, the incorporation of Internet of Things (IoT) systems has heralded a remarkable transformation in patient care and operational efficiency within hospital settings. These IoT systems have introduced a plethora of innovative applications and devices that streamline processes, enhance patient monitoring, and facilitate remote healthcare delivery, thereby revolutionizing the traditional healthcare landscape. However, amidst this digital revolution, there emerge substantial challenges pertaining to the security and privacy of sensitive patient data. The proliferation of interconnected IoT devices, each gathering and transmitting vast amounts of data, introduces complex security vulnerabilities and privacy concerns. These concerns are exacerbated by the heterogeneous nature of IoT devices, varying communication protocols, and the sheer volume of data generated, stored and exchanged within healthcare networks. As a result, ensuring robust security measures to safeguard patient data against unauthorized access, data breaches, and cyber threats becomes paramount.
Additionally, stringent regulatory requirements and compliance standards further underscore the critical importance of addressing these security and privacy challenges effectively. This research paper proposes a novel approach to address these challenges by implementing autonomous data protection mechanisms within IoT systems deployed in hospital environments. The proposed approach aims to bolster healthcare security by endowing IoT devices with autonomous capabilities to detect, prevent, and respond to security threats in real time, without human intervention. By integrating advanced machine learning algorithms and edge computing techniques, IoT devices can autonomously analyze data patterns, identify anomalies, and enact proactive security measures to safeguard patient information. Moreover, the paper explores practical implementation considerations and potential benefits of autonomous data protection, including heightened threat detection accuracy, reduced response time to security incidents, and enhanced overall resilience of healthcare systems. Embracing autonomous data protection enables healthcare organizations to fortify their security posture and foster greater trust in IoT-enabled healthcare services, thereby advancing the quality of patient care while upholding compliance with regulatory standards.

Keywords
Autonomous Data Protection, Healthcare Security, Patient Data Privacy, Threat Detection, Real-time Response.

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