Consensus algorithm for maintaining large-scale access-control views of education data

Abstract

Exploring diverse education data applications through blockchain technology can offer innovative methods for smart education. Among them, storing multi-platform and multi-dimensional education data on the blockchain can enhance the system’s ability to integrate and manage the data effectively. However, the system involves a large number of stakeholders. Furthermore, because the data are stored chronologically, relevant information may be distributed across multiple blocks. They will lead to security issues related to access and inefficient queries. We innovatively design an education data management system that combines access-control views with a consensus algorithm, effectively addressing the issue of low query performance for security data. Additionally, we propose a method that integrates main chain blocks and side blocks within a chained storage structure to recycle view blocks, effectively addressing the issue of block redundancy caused by non-periodic changes in the utilization of education data. For the proposed method, experiments are conducted on two education datasets to validate the efficiency of the proposed access-control view in query performance and the effectiveness of the view maintenance consensus algorithm.