Early Rug Pull Warning for BSC Meme Tokens via Multi-Granularity Wash-Trading Pattern Profiling
#rug pull #BSC #meme tokens #wash-trading #fraud detection #Binance Smart Chain #cryptocurrency scams
📌 Key Takeaways
- Researchers propose a method to detect rug pulls in BSC meme tokens early by analyzing wash-trading patterns.
- The approach uses multi-granularity profiling to identify suspicious trading behaviors indicative of fraud.
- This system aims to protect investors from scams by providing timely warnings before token collapses.
- The study focuses on Binance Smart Chain tokens, which are prone to such manipulative schemes.
📖 Full Retelling
arXiv:2603.13830v1 Announce Type: new
Abstract: The high-frequency issuance and short-cycle speculation of meme tokens in decentralized finance (DeFi) have significantly amplified rug-pull risk. Existing approaches still struggle to provide stable early warning under scarce anomalies, incomplete labels, and limited interpretability. To address this issue, an end-to-end warning framework is proposed for BSC meme tokens, consisting of four stages: dataset construction and labeling, wash-trading p
🏷️ Themes
Cryptocurrency Security, Fraud Detection
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Original Source
arXiv:2603.13830v1 Announce Type: new
Abstract: The high-frequency issuance and short-cycle speculation of meme tokens in decentralized finance (DeFi) have significantly amplified rug-pull risk. Existing approaches still struggle to provide stable early warning under scarce anomalies, incomplete labels, and limited interpretability. To address this issue, an end-to-end warning framework is proposed for BSC meme tokens, consisting of four stages: dataset construction and labeling, wash-trading p
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