Abstract
This article introduces SecureWearTrade, a comprehensive blockchain-enabled IoT framework designed to advance secure personal data trading from wearable devices in healthcare. Addressing critical challenges related to security, privacy, and efficiency in resource-constrained environments, our work makes three key contributions: (1) an enhanced hierarchical identity-based encryption (HIBE) scheme with wildcard support, enabling fine-grained and flexible access control tailored to the dynamic needs of healthcare data management; (2) a novel integration of blockchain with IPFS, providing immutable transaction records and efficient key management; and (3) an optimized batch processing mechanism for effectively handling multiple data streams. By comprehensive evaluation with real-world settings with devices and dataset, SecureWearTrade demonstrates superior performance in encryption and decryption efficiency, resource utilization, and scalability compared to existing solutions. Additionally, the framework maintains robust security under the Bilinear Diffie–Hellman Exponent (BDHE) assumption. By ensuring privacy-preserving data trading, SecureWearTrade offers a scalable and trustworthy solution for the IoT-Cloud continuum.