Publication

Abstract : ABSTRACTThe growth of digital healthcare technologies has elevated the significance of sharing Medical Internet of Things (MIoT) data. By sharing information between healthcare providers, patients, and researchers, these technologies can enhance the accuracy of diagnoses, improve treatment effectively, and overall lead to better health care. Traditional cloud‐based MIoT data‐sharing methods are susceptible to security risks, latency issues, bandwidth consumption, and single points of failure. Moreover, traditional encryption methods in cloud‐based systems are not feasible for MIoT data sharing due to complex key management and high computational requirements. Fog computing reduces latency by bringing data processing closer to the source, enabling decentralized computation. However, challenges persist in fog‐based MIoT data sharing, including data access control, authentication, confidentiality, and unforgeability. To tackle these challenges, this paper proposes the integration of Ciphertext Policy Attribute‐Based Signcryption (CP‐ABSC) within a blockchain framework to facilitate fog‐based MIoT data sharing. The proposed system divides the fog layer into two layers: the child fog layer focuses on secure access control using signcryption for confidential and unforgeable data sharing, while the parent fog layer deals with load balancing and Erasure Encoding Techniques (EET) to improve latency and storage efficiency. Using blockchain technology, unforgeable data‐sharing mechanisms can provide assurances about the integrity and authenticity of shared data. In this paper, some security attacks are explored that compromise data confidentiality and unforgeability by altering its content. The proposed system's security deals with Elliptic Curve Computational Diffie‐Hellman (ECCDH) and Elliptic Curve Decisional Diffie‐Hellman (ECDDH) hard problems. Experimental analyses demonstrate its superiority in ensuring secure MIoT data sharing in resource‐constrained applications.