Requirement-based, structural design for confidentiality in Hyperledger Fabric

Abstract

Hyperledger Fabric is a permissioned blockchainbased distributed ledger framework that enables organizations to collaborate securely in a network only shared between them. Its architecture facilitates ledger data partitioning via so-called channels, ensuring that only the proper subsets of the organizations in the network consortium replicate specific data segments. However, the requirement-based design of the partitioning of a consortium-wide logical data model into channel-based data management has not been investigated yet. In this paper, we explore the application of Formal Concept Analysis (FCA) to compute the channel structures that emerge from organizational data manageability requirements. We establish the “need-to-know” data sub-models as formal concepts over organizations and use their lattice to determine data to channel partitionings.