AISim
  • 1. Market Background
    • 1.1 Development Prospects
    • 1.2 Potential Challenges
  • 2. AISim: The World’s First Web3 IoE Network
    • 2.1 AIA Protocol (AISim Intelligent Access Protocol)
    • 2.2 Decentralized Identity Authentication (DID) System
    • 2.3 Distributed AI Acceleration Engine
    • 2.4 Intelligent Privacy Computing Module
    • 2.5 DeAI Client (Decentralized AI Client)
    • 2.6 IoE Data Management and Intelligent Caching System
  • 3. Technical Architecture
    • 3.1 AIA Protocol
      • 3.1.1 Protocol Adaptation Layer
      • 3.1.2 Distributed Task Scheduling Engine
      • 3.1.3 Decentralized Communication Network
      • 3.1.4 Cross-layer Data Encryption and Privacy Protection
      • 3.1.5 Dynamic Resource Scheduling and Optimization
    • 3.2 Distributed AI Acceleration
      • 3.2.1 Edge Node Computing Optimization
      • 3.2.2 Multi-Node Distributed Execution
      • 3.2.3 Privacy-Preserving Collaborative Training
    • 3.3 Decentralized Identity and Access Management
      • 3.3.1 Identity Verification and Access Level Grading
      • 3.3.2 Multi-level Data Protection
  • 4. Application Scenario
    • 4.1 Smart Healthcare and Health Management
    • 4.2 Autonomous Driving and Intelligent Transportation
    • 4.3 Agricultural Internet of Things and Precision Agriculture
    • 4.4 Industrial Automation and Intelligent Manufacturing
    • 4.5 Smart City and Public Services
    • 4.6 Edge Computing and Distributed AI
  • 5. IoE Web3 Ecosystem Construction
    • 5.1 DID Physical Nodes
      • 5.1.1 Types of Smart SIM Cards
      • 5.1.2 Rights of DID Physical Nodes
    • 5.2 MVNO Integration
    • 5.3 Ecosystem Incentives
  • 6. Tokenomics
    • 6.1 Token Distribution
    • 6.2 AST Token Use Cases
  • 7.Roadmap
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  1. 2. AISim: The World’s First Web3 IoE Network

2.4 Intelligent Privacy Computing Module

AISim's Intelligent Privacy Computing Module provides users and devices with flexible and highly personalized privacy protection solutions, especially when handling sensitive data interactions between IoE devices and AI Agents, ensuring the privacy and security of the data.

  • zkEVM Smart Contracts

AISim utilizes zkEVM technology to implement privacy-preserving smart contracts. Through this technology, when executing complex task assignments and data sharing, AISim ensures the privacy of data content while maintaining the efficiency of contract execution. zkEVM contracts can not only protect data privacy but also complete multi-party task assignments and executions on the basis of ensuring compliance.

  • Encrypted Queries and Verification

The intelligent privacy computing module supports encrypted query functionality, allowing users and devices to perform data queries and result verification without decrypting the data. This mechanism further strengthens data privacy protection and avoids the privacy leakage risks that may arise from traditional query methods.

  • Privacy Sandbox Technology

Privacy sandbox technology provides personalized privacy protection solutions. Users can choose when, how, and under what conditions to share their data according to their needs. Through this mechanism, AISim can maximize the control of privacy leakage risks while ensuring that users have sufficient privacy protection during interactions.

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Last updated 1 month ago