Review on Secure and Efficient IoT-based Healthcare System with the Integration of Machine Learning and Firewalls

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Published: Oct 14, 2025
DOI: https://doi.org/10.33093/jiwe.2025.4.3.8
Keywords:
Wearable Sensors, Remote Patient Monitoring, Cloud Computing, Machine Learning, Block Chain, IoT Security, Firewalls, IoT-Based Disease Prediction

Main Article Content

Muhammad Awais
Capital University of Science and Technology, Pakistan
https://orcid.org/0009-0006-3101-524X
Syeda Samar Fatima
Capital University of Science and Technology, Islamabad
Jawaid Iqbal
Riphah International University, Pakistan

Abstract

The integration of the Internet of Things (IoT) into healthcare would mean a revolutionized approach in patient monitoring, diagnosis, and treatment, making this quite some development in healthcare delivery. This review has focused on how the integration of IoT with Machine Learning (ML) and stringent security measures tackle the challenging situation of data privacy and cyber threats in healthcare. Current methodologies point toward how essential advanced sensors, cloud computing, and wireless technologies for IoT-based healthcare systems necessary to secure patient data. patient record kept in files and now forward to the cloud database system so that in any case of emergency it could access and keep safe from cyber-attacks, and no one can breach the security of data only authorized user can access. To achieve this security, concern firewalls, encryption technologies are used. These protection systems are applied to block unauthorized access, protect data communication channels, and make private patient information confidential always.  IoT-based, ML-enabled systems perform way better in real-time monitoring, predictive analysis, and personalized treatment in contrast with conventional healthcare strategies. This discussion delineates the need for implementation of firewalls and encryption techniques for data security and patient privacy. This critical review underlines that while IoT truly has enormous potential to change healthcare, it will require continuous innovation and rigorous security protocols to help maximize these benefits.

Article Details

How to Cite
Awais, M., Fatima, S. S., & Iqbal, J. (2025). Review on Secure and Efficient IoT-based Healthcare System with the Integration of Machine Learning and Firewalls. Journal of Informatics and Web Engineering, 4(3), 140–152. https://doi.org/10.33093/jiwe.2025.4.3.8
Issue
Vol. 4 No. 3 (2025): October 2025
Section
Regular issue
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