Trust

Safety by design—not afterthought

PoN separates reachability proofs from personal data, keeps miners in control of device load, and layers anti-abuse signals. Policy matrices and attestations evolve with testnet data and governance.

Abstract shield and arcs suggesting secure network participation

Posture

Security first

PoN is designed with privacy, user control, and anti-abuse protection at its core.

Data boundaries

User privacy

Proof workflows should minimize sensitive surface area: no shadow data collection, and permissions that users can reason about.

  • No access to personal photos
  • No access to private files
  • No contact list access
  • No hidden data collection
  • Transparent permission model
Abstract lock and aperture motif on transparent background

On-device

Device protection

Mining modes stay bounded so everyday phones are not treated like rack miners.

Abstract handset and gauge rings suggesting safe load limits
  • Battery limit control
  • Data usage limit
  • Background activity control
  • Temperature protection
  • User-controlled mining mode

Abuse resistance

Anti-Sybil protection

PoN uses device reputation, network behavior, challenge randomness, and risk scoring to reduce fake accounts and duplicated nodes.

Abstract duplicated nodes collapsing into one verified path

Assumptions

Threat model (high level)

These classes inform verifier design and policy—not an exhaustive formal model.

  • Fake nodes
  • Bot farms
  • Emulator farms
  • VPN/proxy manipulation
  • Replay attacks
  • Packet spoofing
  • Reward farming
  • Validator collusion
Abstract radar mesh suggesting monitored attack surface
Abstract seal and checklist motif on transparent background

Assurance

Audits

Security audit information will be published before mainnet release.