RewardGuard

Sybil protection for protocol rewards and airdrops using proof of machinehood | Powered by TEEs

Table of Contents

1. Links
2. Introduction
3. Background
4. Proposed Solution
5. Technical Implementation
6. Why TEEs and Proof of Machinehood?
7. Team

Links

• Presentation
• Demo Video

Introduction

• This proposal outlines the implementation of a Sybil-resistant system for distributing protocol rewards and airdrops.

• By utilizing proof of machinehood within a Trusted Execution Environment (TEE), we aim to ensure that only legitimate participants receive rewards, thereby enhancing the security and fairness of the process.

Background

• Sybil Attacks lead to unfair distribution of rewards, reduced trust, and compromised network security.

• Current solutions are resource-intensive, inconvenient for users, and not entirely foolproof.

Proposed Solution

• Using Trusted Execution Environmets(TEEs) to enable secure execution and hardware level attestations for proof of on-chain activity.

• Proofs can be settled on Automata Network to ensure integrity of the participating machines.

• Later, we can cross-verify machinehood proofs using multiple TEEs to ensure robustness and filter sybils.

Technical Implementation

Why TEEs and Proof of Machinehood?

• Fair Distribution : Using PoM, RewardGuard ensures that only legitimate participants receive rewards, preventing Sybil attackers from gaining an unfair advantage.

• Scalability & Low cost : TEEs provide a scalable and low cost solution that can handle a large number of participants and verifications efficiently.

• Verifiable Machine Trust : The verifiable nature of TEEs and the Automata Network enhances the overall trustworthiness of the reward distribution process.

Team

Team AlphaDevs 👇

Github

Harsh Tyagi Yashasvi Chaudhary

Twitter / X

Harsh Tyagi Yashasvi Chaudhary

Thanks

• Feel free to reach out to the AlphaDevs team with any questions or issues.

• We appreciate your interest in our project and welcome contributions and feature suggestions.