Optimizing Data Privacy and Scalability in Health Monitoring: Leveraging, Encryption, Blockchain, and Cloud Technologies

Optimizing Data Privacy and Scalability in Health Monitoring: Leveraging, Encryption, Blockchain, and Cloud Technologies

G. Kothai (KPR Institute of Engineering and Technology, India), P. Harish (KPR Institute of Engineering and Technology, India), S. Mugesh kannan (KPR Institute of Engineering and Technology, India), D. Ajinesh (KPR Institute of Engineering and Technology, India), and V. Sathyanarayanan (KPR Institute of Engineering and Technology, India)
Copyright: © 2025 |Pages: 26
DOI: 10.4018/979-8-3693-8784-9.ch012
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Abstract

In an era, health monitoring technologies are increasingly powered by smart devices and applications, ensuring the privacy and security of sensitive health data is a critical challenge. The chapter begins with an introduction to precise health monitoring, highlighting the importance of smart devices and mobile applications in tracking patient health. The chapter delves into the key challenges posed by the volume, sensitivity, and complexity of health data, examining privacy during data collection and sharing. The challenges is addressed by optimizing data security in health monitoring, such as data encryption techniques to protect patient identities. Blockchain technology is used for secure health data sharing. Authentication and access control mechanisms are explored to protect health data. As healthcare systems handle increasing volumes of data, the chapter discusses the role of cloud computing to achieve scalability. The chapter concludes by emphasizing the importance of balancing cloud computing to optimize both scalability and efficiency in health monitoring applications
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