Validation & Trust

How are Validators selected and how is trust scored?

Validators are selected randomly from the network, weighted by their reputation and past reliability. Each Validator has a trust score built from performance accuracy, alignment with consensus, and overall decision accuracy. Higher trust scores increase the likelihood of being selected and receiving rewards.

How does DeepNode prevent Validator collusion?

DeepNode incorporates multiple safeguards to reduce collusion risks:

• Validators are selected pseudo-randomly, making coordination difficult.

• All decisions are committed on-chain and fully auditable.

• Weighting by reputation dilutes the effect of coordinated bad actors.

• Economic alignment: Validators risk losing rewards and reputation if they submit biased, false, or copied decisions.

How are disputes in validation resolved?

If disputes arise (such as conflicting results or contested outcomes), the protocol escalates the request to an extended validation round involving additional Validators. Governance may intervene in edge cases, including malicious behavior or systemic errors. Final consensus is always anchored on-chain for transparency.

What happens to Validators who perform poorly or act maliciously?

Validators with repeated errors or malicious decisions see their reputation scores reduced, lowering their influence and rewards. In severe cases, Validators may be slashed, losing staked $DN or being removed from the active pool. This ensures long-term accountability and network trustworthiness.