According to the South China Morning Post, researchers from the People's Public Security University of China have developed an AI framework capable of detecting illegal cryptocurrency transactions, with an overall accuracy of 89.4%, a precision of 89.1% for illegal transactions, and a recall rate of 64.5%. The system combines dynamic graph neural networks, memory modules, and large language models. By analyzing transaction structures, fund flows, and historical illegal transaction patterns, it generates risk scores and reasoning chains, providing regulatory agencies with a traceable basis for decision-making. The research results were published in the peer-reviewed journal Journal of Intelligence, with the test dataset sourced from the public Elliptic Bitcoin transaction dataset, containing over 200,000 transaction nodes.
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Source: TechFlow Crypto News