IET Blockchain aims to be the premier platform for the exchange of ideas in blockchain and its applications. We are a fully open access journal led by top researchers from world-renowned institutions, which reports fundamental research results, progressive technologies and emerging applications of blockchain technology.


All Article Processing Charges (APCs) for IET Blockchain are waived in 2024.


Listen to Editor-in-Chief Erwu Liu talk about the scope of the journal and give advice to authors considering publishing open-access with IET Blockchain.

Articles

Open access

SparkGrid: Blockchain Assisted Secure Query Scheduling and Dynamic Risk Assessment for Live Migration of Services in Apache Spark‐Based Grid Environment

  •  14 February 2025

Graphical Abstract

SparkGrid: Blockchain Assisted Secure Query Scheduling and Dynamic Risk Assessment for Live Migration of Services in Apache Spark-Based Grid Environment Issue 1, 2025

Grid computing is an emerging technology that enabled the heterogeneous collection of data and provisioning of services to the users. Due to the high amount of incoming heterogeneous request, grid computing needs an efficient scheduling to reduce execution time and satisfy service level agreement (SLA) and quality of service (QoS) requirements. For that purpose, we proposed SprakGrid method to reduce execution time and satisfying SLA, QoS requirements.

Open access

Medical data analysis and transaction type prediction using machine learning and blockchain technology

  •  29 January 2025

Graphical Abstract

Medical data analysis and transaction type prediction using machine learning and blockchain technology Issue 1, 2025

This research paper explores the use of machine learning algorithms to predict transaction types within a blockchain-based medical data system. It applies logistic regression, decision tree, random forest, support vector machine, and k-NN to classify transactions, with decision tree achieving the highest accuracy of 89.29%. The study demonstrates the potential of combining blockchain with machine learning for enhanced medical data management.

More articles

Recent issues