Paper #5

Privacy-preserved Secure Medical Data Sharing Using Hierarchical Blockchain in Edge Computing

Rasel Iqbal Emon, Md. Mehedi Hassan Onik, Abdullah Al Hussain, Toufiq Ahmed Tanna, Md. Akhtaruzzaman Emon, Muhammad Al Amin Rifat and Mahdi H. Miraz

Abstract: A distributed ledger technology, embedded with privacy and security by architecture, provides a transparent application developing platform. Additionally, edge technology is trending rapidly which brings the computing and data storing facility closer to the user end (device), in order to overcome network bottlenecks. This study, therefore, utilises the transparency, security, efficiency of blockchain technology along with the computing and storing facility at the edge level to establish privacy preserved storing and tracking schemes for electronic health records (EHRs). Since the EHR stored in a block is accessible by the peer-to-peer (P2P) nodes, privacy has always been a matter of great concern for any blockchain-based activities. Therefore, to address this privacy issue, multilevel blockchain, which can enforce and preserve complete privacy and security of any blockchain-based application or environment, has become one of the recent blockchain research trends. In this article, we propose an EHR sharing architecture consisting of three different interrelated multilevel or hierarchical chains confined within three different network layers using edge computing. Furthermore, since EHRs are sensitive, a specific data de-identification or anonymisation strategy is also applied to further strengthen the privacy and security of the data shared.

Keywords: Blockchain; De-identification; Edge Computing; Health Level Seven (HL7); Medical Data; Privacy; Security.