A Novel Approach to Predicting Rug-Pull Risks in ERC-20 Smart Contracts

Abstract

This research proposes two data collection methods, Whole Observation Data (WOD) and 7 Days (7D), for identifying rug-pull risks within ERC-20 smart contracts deployed on the Ethereum blockchain. The WOD method offers a comprehensive, long-term analysis of token activity, while the 7D method focuses on a shorter time frame to detect emerging fraudulent behaviors. Through rigorous experimentation and evaluation, this research demonstrates both methods' reliability, applicability, and predictive capabilities. The findings contribute to a deeper understanding of rug-pull risks and provide valuable insights for developing robust countermeasures to protect in-vestors and maintain the integrity of the cryptocurrency market.