MediChain: Medical data fusion using blockchain integrated elastic storage

The Internet of Medical Things (IoMT) consists of interconnected bio-sensor-based health devices. Large numbers of medical devices are supposed to generate a high amount of real-time health data. Therefore, secure and adaptive storage of critical health information is crucial for successfully operating the IoMT architecture. To this end, we propose MediChain, a blockchain-based storage efficient framework that uses blockchain to maintain the integrity, privacy, and confidentiality of critical medical data shared by the bio-sensor devices attached to the consumers. The proposed model also explores Elastic Data Storage (EDS) with the DoD 5220.22-M-ECE technique to achieve storage efficiency and sustainability. The EDS method efficiently removes historical data to observe sustainable traffic adaptive expansion and contraction of storage space. MediChain follows a cloud-native approach that ensures the high availability of close to 99% and durability of critical information to both the consumer and the user. The proposed model is implemented in a lab environment, and its effectiveness is compared empirically with other state-of-art models. MediChain outperforms other models in terms of identity preservation, increasing storage efficiency by almost 25-30%, and sustainability.