网络安全与数据治理2024，Vol.43Issue(7)：26-31,6.DOI:10.19358/j.issn.2097-1788.2024.07.005
基于交易时间衰减的以太坊恶意地址检测方法
Ethereum malicious address detection method based on transaction time decay
梁飞 1石文君 2苏则燊 3张敏4
作者信息
- 1. 北京市公安局经济犯罪侦查总队,北京 100062
- 2. 北京市公安局海淀分局,北京 100086
- 3. 华中科技大学,湖北 武汉 430074
- 4. 北京市公安局网络安全保卫总队,北京 100081
- 折叠
摘要
Abstract
This article proposes the Trans-TAN model for detecting malicious addresses associated with transaction flow graphs on Ethereum.The model improves the self attention mechanism based on the Transformer model.Inspired by Newton's cooling theo-rem and based on the transaction characteristics of Ethereum addresses,the Trans-TAN model introduces the time decay factor of transaction intervals over time.At the same time,it integrates the similarity factor between Ethereum addresses and the transac-tion amount factor.Based on the above three factors,the address association matrix is constructed in the form of a solution to the ordinary differential equation of Newton's cooling theorem,thereby improving the original self attention matrix.Experimental re-sults show that the Trans-TAN model can effectively capture the characteristics of malicious node addresses in the Ethereum trans-action flow graph process,and its accuracy in the test set(Pre)is improved.The precision,recall,and F1 metrics are superior to traditional detection models.关键词
以太坊地址/牛顿冷却定理/时间间隔衰减/自注意力机制Key words
Ethereum account/Newton's cooling theorem/time interval decay/self attention mechanism分类
信息技术与安全科学引用本文复制引用
梁飞,石文君,苏则燊,张敏..基于交易时间衰减的以太坊恶意地址检测方法[J].网络安全与数据治理,2024,43(7):26-31,6.
