Verification & Proof Layer
The hardest problem: How do we know a robot actually did the job?
Idle Network deploys the following technique:
Sensor Proofs: Robot signs sensor outputs (e.g., GPS logs, video hashes).
Zero-Knowledge Proofs (ZKPs): Instead of uploading raw video (huge bandwidth/privacy risk), robot generates ZK proof that it processed footage correctly.
Example: “I detected 15 objects in this video stream” → proof verifies computation was correct without exposing video.
Remote Auditing: Third-party verifiers randomly challenge robots to perform micro-tasks (e.g., move camera, return sensor data).
Hardware Attestation: Use ARM TrustZone/TPM to ensure Idle Agent is running in secure enclave.
This verification layer is critical to prevent fake participation (e.g., a malicious actor pretending to run drones).
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