Lightweight distributed secure data management system for health internet of things

Abstract

Internet of Things (IoT) connects various kinds of sensors and smart devices using the internet to collect data. The adoption of IoT in medical care field will bring great convenient to both doctors and patients for effective illness monitoring and diagnosis. Due to the high value of medical data and the openness character of health IoT, the protection of data confidentiality is of crucial importance. In this paper, we propose a novel distributed secure data management with keyword search system for health IoT. Since the patients are usually managed by diverse medical institutions, the proposed system enables distributed access control of protected health information (PHI) among different medical domains. On the other hand, the accumulation of electronic health records (EHR) makes effective data retrieval a challenge task. Our scheme could provide efficient keyword search function on cross-domain PHI. For the resource limited devices in health IoT, it is an essential requirement to design lightweight algorithms in the secure data management system. The proposed system realizes lightweight data encryption, lightweight keyword trapdoor generation and lightweight data recovery, which leaves very few computations to user's terminal. The security of this system is reduced to the decisional bilinear Diffie-Hellman (DBDH) assumption. The comparison analysis is made between this scheme and other existing systems. The extensive experiments on both laptop and smart phone platforms show that the proposed scheme has greatly improved the computation efficiency and requires much less communication cost.