The fast technological advancements in healthcare systems powered by IoT have been able to continuously monitor patients but at the same time have caused important issues regarding data privacy, integrity, and compliance. The present article focuses on the security of data management in heat-stroke prediction and monitoring, in which a massive amount of physiological and environmental data is produced by the use of wearables and IoT gadgets. The ImmutableShield Security Algorithm (ISSA) is the proposed method that combines horizontal and vertical data fragmentation, AES-256 adaptive encryption, and blockchain-based immutability to provide confidentiality, traceability, and fault tolerance in distributed healthcare networks. The experimental evaluations with the use of the Kaggle Heat Stroke Dataset reveal that ISSA results in a fragmentation efficiency of 90% ± 1.2, encryption overhead of 8% ± 0.5, and a data confidentiality score of 9.0 ± 0.2 (on a 10-point scale derived from entropy-based privacy metrics). ISSA surpasses the current frameworks (IoT-Fog Heatstroke Framework (IFHF), Adaptive Federated Edge Learning Framework (AFEL), Blockchain-Enhanced Healthcare Framework (BEHF)) in terms of access control accuracy which is defined as the relative increase in correct authorization decisions by 15%. The framework also incorporates audit logging, key rotation, and consent-aware access control which are in line with Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR) principles. To sum up, ISSA places on the table a solid and compliant base for secure, real-time, and scalable heat-stroke healthcare data management.
Keywords: Adaptive Encryption, Blockchain, Data Fragmentation, Healthcare Data Security, Internet of Things, Privacy Compliance, Real-time Monitoring.
How to cite this article: Bitar ME, Sujatha V. ImmutableShield: a fragmentation-driven security algorithm for real-time health data protection in IoT-enabled heat-stroke scenarios. Int J Drug Deliv Technol. 2026;16(7s): 166-182; DOI: 10.25258/ijddt.16.7s.20
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Conflict of interest: None