Knowledge Base
Knowledge Base
  • GriffinAI. Executive Summary
  • The Integration Challenge of AI in Blockchain and Web 3.0
  • Griffin AI's Solution
  • Scope of AI Services
  • Network Participants and Contributors
    • Service Providers (SPs)
    • Client Providers (CPs)
    • Users
    • Trust Guardians
    • Code and Model Creators
    • Community Contributors
    • AI Agents
  • Overview Technical Architecture
  • Decentralized AI Network
    • Network Design and Functionality
      • Peer-to-Peer Network Operations
      • Data Handling and System Integrity
    • Distributed Database
    • Griffin Nodes
      • Full and Light Nodes
      • Node Architecture
      • Connectivity Layer
      • Functional Layer
      • Core Layer
  • Griffin Identity Management and Reputation System
    • Decentralized ID Registry
    • Managing Identity Verification
    • Service Discovery
    • Reputation System
    • Payment Orchestration
  • AI Agent Framework
    • Core concepts and definitions
    • Griffin AI Agent Structure
    • Blockchain Specific Toolsets and Frameworks
    • Distributed Agent Builder
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Griffin Identity Management and Reputation System

Griffin AI introduces a decentralized ID Registry alongside a distributed Reputation System to enhance security and trust within the network. The ID Registry allows network participants to register their IDs and public keys, which facilitates authentication and message validation. Each participant obtains a Griffin ID that is managed through their private keys, maintaining control and ownership over their identity. Importantly, the Griffin ID system does not collect actual personal identities; it simply verifies that the user possesses the private key corresponding to the public key listed in the registry.

The decentralized reputation system assesses the credibility and performance of network participants. Managed by Guardian Nodes, this system evaluates the conduct and reliability of node operators such as Service Providers (SPs), Client Providers (CPs), and AI agents. With many AI services operating off-chain due to computational and storage demands, this reputation system becomes essential for establishing trust. It maintains transparency and reliability by securing tamper-proof records of all activities performed by network participants, ensuring a secure and trustworthy environment within the network.

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Last updated 11 months ago