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.
- Unified four-role, nine-relation schema for contracts and devices
- Role-aligned agents exchange evidence via cross-attention
- Gateway-cloud partition enables deployment on constrained gateways
- Targets unauthorized access and unguarded privileged-operation flaws
From the original article
1 min read at arxiv.orgBlockchain-enabled Internet of Things (IoT) systems integrate smart contracts with embedded devices to support decentralized device management and access control. Their security therefore depends jointly on the logic of on-chain contracts and off-chain device firmware.
By Minfeng Qi · arxiv.org
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.