DDAI Network Docs
  • Welcome
  • DDAI Network Introduction
    • What is DDAI?
  • Vision & Mission
  • Core Technology & Architecture
    • DePIN Integration & Benefits
  • Sybil Attack Mitigation
  • Ecosystem Architecture
  • Key Features of DDAI AI Assistant
    • NLP-Enhanced AI Assistant
    • Advanced Functionality for Business
    • Bandwidth Monetization
  • ONBOARDING GUIDE & USER EXPERIENCE
    • Installation Steps
    • Streamlined Integration & Data Privacy
  • Requirements to Run DDAI Nodes
  • TOKENOMICS
    • Token Metrics
    • Token Utilities
  • EARNING MECHANISM
    • Reward Mechanism Explanation
    • For Standard Users
  • For Node Validators
  • REFERRAL MECHANISM
    • Referral Program
    • How DDAI refferal system work?
    • Why should invite your friends to DDAI
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Sybil Attack Mitigation

Multi-Tier Analysis: Referral patterns beyond the immediate Tier 1/Tier 2 level could help detect Sybil farms where a single entity creates a large number of interconnected accounts.

Performance-Based Rewards: Tying referral rewards to the genuine activity and sustained performance of referred members, rather than just the act of referral, can disincentivize the creation of inactive Sybil accounts.

Verification Requirements for Rewards: Implementing certain verification steps (e.g., minimum usage of the AI Assistant, contribution of a certain amount of resources) before referral rewards are granted can help filter out Sybil referrals.

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Last updated 1 month ago

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