Blockchain Large Language Models

ePrint Report: Blockchain Large Language Models

Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, Arthur Gervais

This paper presents a dynamic, real-time approach to detecting anomalous blockchain transactions. The proposed tool, TXRANK, generates tracing representations of blockchain activity and trains from scratch a large language model to act as a real-time Intrusion Detection System. Unlike traditional methods, TXRANK is designed to offer an unrestricted search space and does not rely on predefined rules or patterns, enabling it to detect a …

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