中圖分類號：TP311.13;TP309;TP183文獻標識碼：ADOI:10.19358/j.issn.2097-1788.2024.07.005
引用格式：梁飛,，石文君,，蘇則燊，等.基于交易時間衰減的以太坊惡意地址檢測方法［J］.網(wǎng)絡安全與數(shù)據(jù)治理,，2024,，43（7）：26-31.

Ethereum malicious address detection method based on transaction time decay

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 theorem 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 transaction 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 results show that the Trans-TAN model can effectively capture the characteristics of malicious node addresses in the Ethereum transaction 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.

Key words : Ethereum account; Newton′s cooling theorem; time interval decay; self attention mechanism