5G Technology: A Dynamic Step-Wise Blowfish Encryption Algorithm with Fruit Fly Optimization to Improve Quality of Service in the Healthcare Industry

The healthcare industry relies significantly on the ability to access, manage, distribute, and store electronic data. The rise of cloud computing has been advantageous for many areas in healthcare, including bioinformatics, telemedicine, and health management systems. The Internet of Medical Things...

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Bibliographic Details
Published in:2025 International Conference on Modern Sustainable Systems (CMSS) pp. 1112 - 1121
Main Authors: Arivazhagan, Dr B., Inbavel, M., Nivas, S., Subha, R.
Format: Conference Proceeding
Language:English
Published: IEEE 12.08.2025
Subjects:
5G mobile communication
5G technology
Blowfish
E-health monitoring
Encryption
Fruit Fly Optimization
Heuristic algorithms
Internet of Things
Medical devices
Medical services
Monitoring
Optimization
Patient data
Prediction algorithms
Quality of service
Throughput
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Summary:The healthcare industry relies significantly on the ability to access, manage, distribute, and store electronic data. The rise of cloud computing has been advantageous for many areas in healthcare, including bioinformatics, telemedicine, and health management systems. The Internet of Medical Things (IoMT), a subset of the Internet of Things, plays a crucial role in healthcare management systems. With the rapid growth of IoMT, smart medical devices, healthcare applications, and high-speed networks, medical systems can now quickly diagnose, treat, and manage diseases. They also have the capability to monitor and enhance the Quality of Service (QoS) remotely. To handle this large volume of data, longer battery life, fast networks, and stable connections are essential. These requirements are met by the unique potential of 5G technology. Unfortunately, the use of medical devices within the IoMT raises privacy issues and direct physical risks. We propose a novel algorithm to improve the QoS of IoMT devices and systems. Initially, we gather the dataset and activate the 5G network. This model suggests employing a Dynamic Step-wise Tiny Encryption system alongside a Fruit Fly Optimization Algorithm for data encryption. The secured data is then transmitted using the Energy Efficient Routing Protocol. Upon user request, the encrypted data is made accessible. This study demonstrates the enhanced QoS and effectiveness of our proposed method. The proposed experimental findings indicate that this approach significantly boosts QoS and network performance regarding lifespan, communication overhead, storage requirements, and power consumption compared to other alternatives. The method utilizing the Fruit Fly Optimization Algorithm with Blowfish encryption techniques provides superior security service outcomes in the healthcare sector compared to existing systems. This assessment examines the advantages and disadvantages of the IoT-based healthcare system. Most research studies help identify various symptoms and can accurately predict diseases. The IoT-based healthcare system, designed for the elderly, is a valuable tool for monitoring health conditions. However, the current systems have significant downsides, including high power usage, limited resource availability, and security threats due to the use of multiple devices.
DOI:10.1109/CMSS66566.2025.11182556