Third Party Data Aggregation for Data Storage with the IoT Healthcare Model
DOI:
https://doi.org/10.69996/jsihs.2024010Keywords:
Internet of Things (IoT), Blockchain, Hashing, Data Aggregation, ClassificationAbstract
In IoT healthcare systems, securing sensitive medical data while ensuring efficient data management remains a critical challenge. This paper proposes and evaluates the Blockchain Authentication Hashing Data Aggregation (BAHDA) model as a solution to enhance data integrity, security, and operational efficiency. The BAHDA model leverages blockchain technology to implement robust authentication mechanisms, cryptographic hashing for data integrity, and decentralized data aggregation to mitigate risks associated with centralized data storage. Through experimentation and analysis, our study demonstrates substantial improvements in key performance metrics. Specifically, BAHDA achieves a throughput of up to 10,000 messages per second (messages/sec) with 50 nodes, showcasing its scalability in handling large volumes of healthcare data. Latency is minimized to 6 milliseconds (ms), and delay reduced to 3 ms, ensuring rapid data transmission and processing critical for real-time healthcare applications. Furthermore, comparative analysis across different types of nodes—IoT devices, edge nodes, fog nodes, and cloud servers—illustrates their respective contributions to system performance. Cloud servers exhibit the highest throughput of 5000 messages/sec, lowest latency of 2 ms, and minimal delay of 1 ms, underscoring their role in supporting intensive data processing tasks and complex analytics. the BAHDA model proves to be a promising framework for securing and managing healthcare data in IoT environments, offering enhanced data integrity, security, and operational efficiency.
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