Hyperledger Fabric Graph Isomorphism Network for Conflict Transactions Detection in Multi-Version Concurrency Control

• Published in: IEEE access Vol. 13; pp. 131314 - 131333
• Main Authors: Alzahrani, Fawaz, Yazid Idris, Mohd, Fo'Ad Rohani, Mohd, Budiarto, Rahmat
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: Blockchains; Complexity theory; Concurrency control; convolutional neural networks; Data integrity; deep learning; Distributed ledger; Fabrics; graph neural networks; graph theory; hyperledger; machine learning; Proposals; Reliability; Scalability; System performance

Multi-Version Concurrency Control (MVCC) is a critical mechanism in blockchain systems such as Hyperledger Fabric. MVCC is crucial for managing concurrent transactions ensuring integrity through versioning and timestamp techniques. Enhancing MVCC is essential due to the significant overhead involved...