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Spot rug-pulls before they happen: a new framework combines blockchain data with social media buzz to predict crypto scams with improved accuracy.
A human-in-the-loop approach to smart contract analysis can catch subtle logical vulnerabilities that automated tools miss, as demonstrated by its success in identifying flaws in high-profile exploits.
Blockchain's consensus protocols face critical security, scalability, and energy consumption challenges that demand further research despite their pivotal role in decentralized systems.
A new dataset, TM-RugPull, finally enables rigorous, leakage-free research into early detection of rug-pull scams across diverse token types, moving beyond DeFi-centric analysis.
