Content area
Background
The rapid expansion of Internet of Things applications in healthcare has created new opportunities for improving patient care through real-time monitoring and data sharing. However, this growth also introduces significant challenges related to data security, privacy, and system efficiency, especially for devices with limited processing power and energy resources. To address these issues, this study introduces a blockchain-based lightweight hashing system specifically designed for healthcare environments with resource-constrained devices. The goal is to ensure secure, efficient, and scalable handling of sensitive medical data without overwhelming the capabilities of connected devices.
Results
The proposed system combines a collision-resistant, lightweight hash function with blockchain technology to enhance data integrity, authentication, and privacy. The hash function minimizes computational demands, making it ideal for wearable and embedded healthcare devices. Blockchain integration enables decentralized data management, preventing unauthorized access and tampering. The system generates unique, immutable patient identifiers and protects electronic health information from common security threats, including collision attacks, Sybil attacks, and cryptographic analysis. Simulation results show improved computational efficiency, lower latency, and effective handling of high transaction volumes with minimal resource usage.
Conclusions
This research presents a secure and efficient framework for managing medical data in healthcare Internet of Things applications. By leveraging lightweight cryptographic techniques and decentralized data structures, the system addresses key limitations in current solutions while supporting scalability and real-world deployment. Potential applications include secure patient monitoring, real-time sharing of health data, and decentralized management of medical records. The proposed approach provides a foundation for future advancements in digital healthcare systems, particularly in remote care, emergency response, and wearable health technologies.
Details
Accuracy;
Energy resources;
Deep learning;
Energy sources;
Communication;
Telemedicine;
Blockchain;
Wearable technology;
Data processing;
Emergency response;
Computer applications;
Cryptography;
Internet of medical things;
Privacy;
Health care industry;
Cybercrime;
Internet of Things;
Efficiency;
Health care;
Data management;
Electronic health records;
Data integrity;
Data structures;
Medical records;
Design;
Devices;
Smart houses;
Data collection;
Latency;
Patients;
Real time;
Digital signatures;
Cybersecurity;
Internet