io.net's device spoofing detection for GPU computing power virtualization aims to bypass Sybil screening by ensuring authentic device participation. It leverages IO Worker software to monitor GPU activity, verifying compute contributions through real-time metrics like utilization rates and task completion logs. To counter virtualization bypass, io.net uses a decentralized verification system via its infrastructure layer, cross-referencing device IDs and performance data against expected benchmarks for specific GPU models. Sybil attacks are mitigated by requiring IO ID authentication, linking each device to a unique Solana or Aptos wallet, and employing EigenLayer’s restaking for enhanced security. Additionally, the platform’s IO Explorer tracks verified GPUs, flagging anomalies in compute patterns or duplicated device signatures. This multi-layered approach ensures only legitimate GPUs contribute to the network, maintaining integrity in its decentralized GPU cloud ecosystem.