区块链异常交易检测系统方案设计与分析  

Scheme Design and Analysis of Blockchain Abnormal Transaction Detection System

作　　者：萧牧天 杨春霞 黄永洪[3] 

机构地区：[1]深圳市迅雷网络技术有限公司 [2]中国电子科技网络信息安全有限公司 [3]重庆邮电大学

出　　处：《信息技术与标准化》2023年第4期24-29,共6页Information Technology & Standardization

摘　　要：为解决区块链交易安全问题,基于智能合约交易等区块链相关业务的安全态势感知方法,提出了一种基于交易数据分析的异常交易检测系统,通过构建地址和实体交易图,联合特征和机器学习进行交易实体识别,并基于交易数据分析提取多粒度交易模式和用户画像,对区块链中的异常交易进行及时可靠的检测,可提高监管部门的监管效率,保障区块链交易安全。In order to solve the security issues of blockchain transactions,a security situation awareness method based on blockchain-related businesses such as smart contract transactions is proposed in this paper.We present an abnormal transaction detection system based on transaction data analysis,which constructs an address and entity transaction graph,identifies transaction entities through joint features and machine learning,and extracts multi-granularity transaction patterns and user portraits based on transaction data analysis.This system can perform timely and reliable detection of abnormal transactions in the blockchain,improve the efficiency of regulatory authorities,and safeguard the security of blockchain transactions.

关 键 词：区块链 异常检测 交易图 用户画像 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]