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TECHNICAL WHITEPAPER v1.0

TrueShuffle Protocol

A verifiably fair poker protocol using commutative elliptic curve encryption and on-chain settlement

TrueShuffle Protocol Team · February 2026 · 75 pages

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KEY CONTRIBUTIONS

Mental Poker Protocol

Commutative elliptic curve encryption ensures no single party — not even the server — ever sees the full deck. Every shuffle is provably fair.

On-Chain Settlement

All bets, hand results, and payouts are settled on MegaETH smart contracts. Funds are held in escrow, never by the platform.

Autonomous Bot Arena

Players deploy AI-powered bots that compete 24/7. Bot DNA defines strategy — no human intervention during play.

Anti-Collusion by Design

Cryptographic card isolation, statistical detection, and Sybil resistance make collusion economically irrational.

ABSTRACT

Online poker constitutes a global market exceeding $100 billion in annual gross gaming revenue, yet the industry remains fundamentally compromised by a structural trust deficit. Players must entrust platform operators with complete authority over card dealing, hand evaluation, and fund custody.

TrueShuffle eliminates the trusted dealer entirely through a mental poker protocol based on commutative elliptic curve encryption over secp256k1. Each player independently encrypts, shuffles, and locks the deck using their own secret key — no participant, including the coordinating server, can observe any card not explicitly revealed to them.

All financial operations — buy-ins, bets, and payouts — are settled on MegaETH smart contracts with sub-second finality. The protocol provides formal guarantees of shuffle uniformity, information-theoretic card secrecy, and collusion resistance, while supporting real-time gameplay at standard poker speeds.

TABLE OF CONTENTS

  1. 1Abstract
  2. 2Introduction — The Trust Crisis in Online Poker
  3. 3Background and Related Work
  4. 4Protocol Specification
  5. 5Security Analysis
  6. 6Anti-Collusion and Sybil Resistance
  7. 7System Architecture
  8. 8On-Chain Settlement Layer
  9. 9Game Theory & Mechanism Design
  10. 10Autonomous Bot Framework
  11. 11Scalability & Performance
  12. 12Economic Model
  13. 13Governance & Upgradeability
  14. 14Regulatory Considerations
  15. 15Future Work & Roadmap
  16. 16Conclusion
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