Real-CATS Dataset Launched for Cryptocurrency Cybercrime Detection
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🪙📊 Real-CATS dataset launched to enhance cryptocurrency cybercrime detection. Researchers have introduced Real-CATS, a comprehensive dataset designed to aid in the detection of cryptocurrency-related cybercrime, which caused losses of $40.9 billion in 2024. The dataset includes 103,203 criminal addresses and 106,196 benign addresses, fulfilling essential characteristics for effective detection methods. Real-CATS serves three primary functions: evaluating detection methods, supporting feature extensions, and creating new evaluation scenarios for real-world applications. This initiative aims to attract cross-disciplinary researchers to the field, facilitating advancements in cybercrime measurement and detection. The dataset is publicly available, promoting further research in this critical area.
