Master Thesis MSTR-2021-93

BibliographyVu, Henry Khang: Concepts for efficient query processing in hyperledger fabric using an eHealth use case as an example.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 93 (2021).
75 pages, english.
Abstract

Due to the current COVID-19 pandemic, many countries are requiring a good documentation of given COVID vaccines and test certificates. These measures necessitate the digitization of outdated processes in the health sector. Because of the sensitivity of health-related data, every involved party must be able to trust it without a doubt. Blockchain is a technology that does not relying on the need for third parties to exchange assets and conducting commercial transactions by requiring each participant to have a local copy of the data. Hyperledger Fabric is a proprietary, permissioned, and open-source blockchain solution. In this thesis, storage concepts for Hyperledger Fabric are analyzed and evaluated by comparing them in terms of performance, storage efficiency, tamper resistance, and implementation complexity. Therefore, a part of the thesis focuses on the extraction of typical queries from implementation scenarios in the healthcare sector. After, four different storage concepts are presented which are suitable for Hyperledger Fabric and the implementation of a vaccination and test certificate use case within. In order to visualize and apply these storage concepts, a "eHealth pass" web application has been implemented. It shows various use case transactions like storing new vaccination and Corona test information to the Hyperledger Fabric blockchain and requesting them. Typical requests could be extracted from the eHealth use cases and four different storage concepts are developed for Hyperledger Fabric. However, the results of the subsequent evaluation turned out to be partially inconclusive and the designed storage concepts are not constraint to the eHealth use cases. The prototype implementation could be achieved with Hyperledger Fabric, but the scope of use is still very limited.

Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Superviser(s)Mitschang, Prof. Bernhard; Przytarski, Dennis; Stach, Dr. Christoph
Entry dateApril 26, 2022
   Publ. Computer Science