Secure Privacy-preserving Resolution Adaptive Data Sharing in Hybrid Blockchain Controlled Medical IOT Environment

Abstract

Medical Internet of Things (IoT) will revolutionize healthcare industry by facilitating on demand medical assistance. Data collected from various sensor devices attached to patients are transmitted to various application servers which can monitor health and offer various medical assistance services. In this medical IoT era, to ensure data security and privacy of patients, it is necessary to mutually authenticate the communicating entities and deliver data at various resolutions between the entities based on the utilities. This work proposes a hybrid block chain controlled Medical IoT environment (HB-MIOT) for secure, privacy preserving data sharing from IoT devices. The solution proposes a novel multi resolution adaptive data sharing scheme using compressive sensing after consensus agreement between the IoT entities with combined block chain and hybrid cloud. The solution is secure against data leakage, data tampering and data compromise at public clouds. Through simulations, the computation complexity for data upload(encryption) and data retrieval (decryption) is 9% and 3.5% lower in proposed solution compared to most recent incremental update solution. Also, the block chain update cost is 13 times lower in proposed solution. Through experimental analysis with U.S Health dataset, the computation complexity for data upload and data retrieval is 10.3% and 3.2% lower in proposed solution compared to recent privacy-preserving and access control scheme for sharing EHRs using blockchain technology.