Detecting Logic Vulnerabilities Across the Contract and Device Layers of Blockchain-Enabled IoT With Multi-Agent Heterogeneous Graph Attention
MA-HGAT framework detects logic vulnerabilities across smart contract and IoT device firmware layers using multi-agent heterogeneous graph attention.
Researchers extend MA-HGAT into a cross-layer multi-agent heterogeneous graph attention framework that models smart contracts, firmware artifacts, device fleets, and transaction streams for blockchain-enabled IoT security. A four-role, nine-relation schema supports graph-, link-, and node-level detection tasks, while a gateway-cloud partition enables lightweight edge inference on resource-constrained devices.
35