Cortensor
  • Home
  • Abstract
    • Value Proposition
    • Whitepaper
      • Page 1: Introduction and Vision
      • Page 2: Architecture and Technical Overview
      • Page 3: Incentive Structure and Tokenomics
      • Page4: Development Roadmap and Phases
      • Page5: Summary
  • Introduction
    • What is Cortensor?
    • Key Features & Benefits
    • Vision & Mission
  • Getting Started
    • Quick Start Guide
    • System Requirements
    • Installation & Setup
      • Getting Test ETH
      • Setup Own RPC Endpoint
      • Router Node Setup
        • Router API Reference
  • Core Concepts
    • Decentralized AI Inference
      • Community-Powered Network
      • Gamification and Quality Control
      • Incentive Structure
    • Universal AI Accessibility
    • Multi-layer Blockchain Architecture
  • Technical Architecture
    • Design Principles
    • Node Roles
    • Node Lifecycle
      • Ephemeral Node State
    • Node Reputation
    • Network & Flow
    • Type of Services
    • Coordination & Orchestration
      • Multi-Oracle Node Reliability & Leadership Rotation
    • AI Inference
      • Open Source Models
        • Centralized vs Decentralized Models
      • Quantization
      • Performance and Scalability
    • Consensus & Validation
      • Proof of Inference (PoI) & Proof of Useful Work (PoUW
      • aka Mining
      • Proof of Useful Work (PoUW)
      • Proof of Useful Work (PoUW) State Machine
        • Miner & Oracle Nodes in PoUW State Machine
      • Sampling in Large Distributed Systems
      • Parallel Processing
      • Embedding Vector Distance
    • Multi-Layered Blockchain Architecture
    • Modular Architecture and Smart Contract Interactions
      • Session Queue
      • Node Pool
      • Session Payment
    • Mining Overview
    • User Interaction & Node Communication
      • Session, Session Queue, Router, and Miner in Cortensor
    • Data Management
      • IPFS Integration
    • Security & Privacy
    • Dashboard
    • Development Previews
      • Multiple Miners Collaboration with Oracle Node
      • Web3 SDK Client & Session/Session Queue Interaction
    • Technical Threads
      • AI Agents and Cortensor's Decentralized AI Inference
    • Infographic Archive
  • Community & Ecosystem
    • Tokenomics
      • Network Incentive Allocation
      • Token Allocations & Safe Wallet Management
    • Staking Pool Overview
    • Contributing to Cortensor
    • Incentives & Reward System
    • Governance & Compliance
    • Safety Measures and Restricted Addresses
    • Buyback Program
    • Liquidity Additions
    • Partnerships
      • Partnership Offering for Demand-Side Partnerships
    • Community Testing
      • Closed Alpha Testing Phase #1
        • Closed Alpha Testing Phase #1 Contest: Closing & Winners Announcement
      • Closed Alpha Testing Phase #2
      • Closed Alpha Testing Phase #3
      • Discord Roles & Mainnet Privileges
      • DevNet Mapping
      • DevNet Modules & Parameters
    • Jobs
      • Technical Writer
      • Communication & Social Media Manager
      • Web3 Frontend Developer
      • Distributed Systems Engineer
  • Integration Guide
    • Web2
      • REST API
      • WebSocket
      • Client SDK
    • Web3
      • Web3 SDK
  • Use Cases
  • Roadmap
    • Technical Roadmap: Launch to Next 365 Days Breakdown
    • Long-term Vision: Beyond Inference
  • Glossary
  • Legal
    • Terms of Use
    • Privacy Policy
    • Disclaimer
    • Agreement for Sale of Tokens
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On this page
  • Overview
  • Key Mechanisms
  • Encrypted Communication:
  • Data Storage Security:
  • Staking and Incentives:
  • Validation and Verification:
  • Access Control:
  • Privacy Measures:
  1. Technical Architecture

Security & Privacy

Cortensor prioritizes security and privacy to ensure that user data and network operations remain protected. This section outlines the key mechanisms and strategies implemented to safeguard the Cortensor network.

Overview

Cortensor employs a multi-faceted approach to security and privacy, incorporating encryption, secure communication protocols, and robust validation processes to protect data and maintain trust within the network.

Key Mechanisms

Encrypted Communication:

  • All data transmitted within the network is encrypted to ensure privacy and integrity.

  • Router nodes manage encryption and decryption, ensuring secure interactions between clients and miner nodes.

Data Storage Security:

  • Uses IPFS for decentralized and secure data storage.

  • Ensures that data such as prompts and completions are stored off-chain, reducing exposure to potential on-chain vulnerabilities.

Staking and Incentives:

  • Nodes stake tokens to participate, ensuring their commitment to network security.

  • Staking reduces the risk of malicious behavior, as nodes have a financial incentive to maintain network integrity.

Validation and Verification:

  • Validation nodes verify the accuracy of AI inference results using methods like semantic checks, embedding comparisons, and checksum verifications.

  • Multiple nodes participate in the validation process to ensure consensus and reliability.

Access Control:

  • Implements permissioned access for certain network operations, with plans to transition to a more decentralized, permissionless setting in the future.

  • Ensures that only authorized nodes can perform specific tasks, enhancing overall security.

Privacy Measures:

  • User data is handled with strict privacy protocols, ensuring that sensitive information is protected throughout the processing and storage lifecycle.

  • Future updates will include additional privacy features, such as enhanced data anonymization and secure multi-party computation.

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Last updated 3 months ago