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InfoResearchPeer-reviewed
Adaptive Detection of Unknown Threats in Smart Contracts via Multimodal Self-Learning
- Published
- Record updated
Summary
Synesthete is a new method for detecting unknown smart contract threats. It fuses multimodal features (texts, graph structures and images extracted from opcodes, sources and bytecode streams) with self-learning, data generation and a domain-adaptive learning mechanism. On known reentrancy, timestamp dependence and transaction-ordering dependence vulnerabilities, its detection accuracy improves by 5.46%–28.78% over the latest classical and AI-based methods.