Blockchain technology has been integrated into a wide range of applications in various
sectors, such as finance, supply chain, health, and governance. However, the participation …

In recent years, blockchain anonymity has led to more illicit accounts participating in various
money laundering transactions. Existing studies typically detect money laundering …

比特币系统基于区块链技术, 具备去中心化, 无国界, 匿名性等特点, 受到产学研界广泛关注.
然而, 比特币系统在为用户提供隐私保护的同时, 也为不法分子开展非法活动提供便利. 因此 …

Abstract Large Language Models (LLMs) present an opportunity for interpreting and
investigating financial cybercrime activity. Analysts are tasked with learning and …

Current methods to prevent crypto asset fraud are based on the analysis of transaction
graphs within blockchain networks. While effective for identifying transaction patterns …

With the rapid evolution of Web3. 0, cryptocurrency has become a cornerstone of
decentralized finance. While these digital assets enable efficient and borderless financial …

In this paper, we propose the modelling of patterns of financial transactions‐with a focus on
the domain of cryptocurrencies‐as splittings and present a method for generating such …

This paper presents a study on the application of Heterogeneous Graph Neural Networks
(HGNNs) for enhancing the security of complex social systems by identifying illicit and …

Deep learning-based classifiers have been widely used in the field of financial fraud
transaction detection. However, training a high-performance classifier for fraud detection is …

Research on Bitcoin (BTC) transactions is a matter of interest for both economic and network
science fields. Although this cryptocurrency is based on a decentralized system, making …