🤖 AI × Crypto🟢 BullishImportance 7/10Actionable

Early Rug Pull Warning for BSC Meme Tokens via Multi-Granularity Wash-Trading Pattern Profiling

arXiv – CS AI|Dingding Cao, Bianbian Jiao, Jingzong Yang, Yujing Zhong, Wei Yang|March 17, 2026 at 04:00 AM

🤖AI Summary

Researchers developed an AI framework to detect rug pull scams in BSC meme tokens by analyzing wash-trading patterns. The system achieved 90.98% AUC accuracy and can provide early warnings with an average lead time of 3.8 hours, though it currently functions better as a high-precision screener than an automatic alarm system.

Key Takeaways

→New AI framework can detect BSC meme token rug pulls with 90.98% AUC accuracy using wash-trading pattern analysis
→System provides early warning with average lead time of 3.8 hours before rug pull events
→Framework analyzes 12 behavioral features across transaction, address, and flow levels to identify risk patterns
→Current system works better as high-precision screener rather than high-recall automatic alarm due to error profile
→Research addresses critical need for rug pull protection in high-frequency meme token speculation on BSC

#rug-pull #bsc #meme-tokens #wash-trading #ai-detection #defi-security #early-warning #fraud-prevention #binance-smart-chain #crypto-research

Read Original →via arXiv – CS AI

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