From Viral to Void: Multi-Dimensional Behavioral and Contractual Analysis for Rug Pull Identification

arXiv:2608.01609 · cs.CR · Submitted 2026-08-03 · Read on arXiv

Jinyin Song, Hongping Wang, Xiaoqi Li

cs.CR

Submitted: 2026-08-03

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AUC — 16× in this paper · explained in 2 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• F1 Score — 11× in this paper · explained in 4 episodes
• Feature Engineering — 6× in this paper · explained in 3 episodes
• Core — 5× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 14 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• XGBoost — 4× in this paper · explained in 3 episodes
• Binance Smart Chain — 3× in this paper
• Class Imbalance — 3× in this paper · explained in 3 episodes
• Feature Importance — 3× in this paper · explained in 2 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 3 episodes
• Information Asymmetry — 2× in this paper · explained in 4 episodes
• Multi-Layer Perceptron — 2× in this paper
• Pruning — 2× in this paper · explained in 4 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Constant Product Automated Market Maker — 1× in this paper
• Data Leakage — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• False Negatives — 1× in this paper · explained in 2 episodes
• Herfindahl-Hirschman Index — 1× in this paper
• Internet of Things — 1× in this paper
• Knowledge Graph — 1× in this paper · explained in 8 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Overfitting — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Scoring Function — 1× in this paper · explained in 2 episodes
• Weight Decay — 1× in this paper · explained in 2 episodes

Sources

• Blockchain security based on cryptography: a review
• DoS Attacks and Defense Technologies in Blockchain Systems: A Hierarchical Analysis
• A Multi-Layered Security Analysis of Blockchain Systems: From Attack Vectors to Defense and System Hardening
• Implementation and Security Analysis of Cryptocurrencies Based on Ethereum
• Exploring Vulnerabilities and Concerns in Solana Smart Contracts
• UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains
• SoK: Comprehensive Analysis of Rug Pull Causes, Datasets, and Detection Tools in DeFi
• Robust Smart Contract Vulnerability Detection via Contrastive Learning-Enhanced Granular-ball Training
• SmartBugBert: BERT-Enhanced Vulnerability Detection for Smart Contract Bytecode
• A Comprehensive Study of Exploitable Patterns in Smart Contracts: From Vulnerability to Defense
• The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts
• Beyond the Hype: A Large-Scale Empirical Analysis of On-Chain Transactions in NFT Scams
• Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
• Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchain
• Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach
• Facial Recognition Leveraging Generative Adversarial Networks
• Adam: A Method for Stochastic Optimization
• Defensible Design for OpenClaw: Securing Autonomous Tool-Invoking Agents

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