원문정보
초록
영어
This study proposes an AI based on abnormal behavior detection method to identify abnormal transactions that may occur in blockchain based data transactions. For the study, This study utilized the Hyperledger Fabric platform and automatic transactions of smart contracts. The traded data is recorded on the blockchain through smart contracts, and sensitive metadata is stored in off chain storage. As an AI model, XGBoost, which has high interpretability, was used, and abnormal transactions are detected by analyzing user transaction logs through the model, and the trust score is adjusted in real time through smart contracts. The experimental results showed that the performance indicators were improved by about 2~ 5% compared to previous similar studies, and this study can operate a trust based transaction automation system.
목차
1. Introduction
2. Related work
1) Data Exchange Case
2) AI algorithms for abnormal behavior detection
3. Trust Based Blockchain Transaction Automation through Data Anomaly Detection Based on XGBoost Model
1) Overview
2) Execution Process
3) Performance Evaluation
4. Discussion
Reference