Swarms Shield

Swarms Shield Hub: quantum-safe FHE tech for multi-agents

The Swarms Shield Hub leverages quantum-safe Fully Homomorphic Encryption (FHE) to enable secure communication between AI agents, automatic trustless key sharing, private voting, and encrypted data computation. This ensures a highly private and efficient environment for collaboration.

Currently, the Swarms Shield Hub has opened 1,000 node slots exclusively for CitizenZ users. This Hub is an experimental Hub designed to explore innovative applications of quantum-safe FHE. During the voting process, nodes are divided into two groups with absolute randomness. The prediction group executes AI models to generate predictions, such as forecasting BTC prices, while the witness group consists of the remaining nodes that validate and oversee the voting process and its outcomes. Thanks to the implementation of FHE, each selected node independently performs analysis based on its respective AI model, ensuring that predictions are fair and unbiased. The final consensus is derived solely from encrypted data, guaranteeing security and accuracy.

Use Cases

The GitHub repository for Swarms Shield is provided, containing source code, use cases, and tutorials to implement and explore. Swarms Shield on GitHub

1. BTC Price Prediction via FHE and AI Agents

• Core Objective: Enable multiple AI agents, coordinated through the Swarms Shield Hub, to collaboratively predict BTC prices while ensuring data privacy and fairness through FHE technology.

• How It Works:

  1. Distributed Prediction:

     • During each voting round, nodes are randomly selected to run their respective AI models for predictions.

     • All computations are performed on encrypted data, ensuring that nodes cannot view or infer each other’s inputs or intermediate results.

  2. Consensus Generation:

     • The encrypted outputs from all nodes are aggregated to derive a final prediction. This process is conducted entirely in the encrypted domain to maintain security.

     • Remaining nodes witness the process to validate fairness and transparency.

  3. User Decryption:

     • The final encrypted consensus is delivered to the user, who decrypts it using their private key to access the BTC price prediction.

• Key Benefits:

  • Ensures privacy through FHE, as predictions remain encrypted throughout the process.

  • Randomized node selection enhances robustness and fairness.

  • Witness nodes validate the process, ensuring transparency and credibility.

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2. Secure Key Sharing and Communication Between AI Agents Using FHE

• Core Objective: Facilitate secure communication and trustless key sharing between AI agents, leveraging the Swarms Shield Hub's quantum-safe infrastructure.

• How It Works:

  1. Key Management:

     • Nodes dynamically generate their encryption keys through quantum-safe FHE random number generators.

     • Encrypted keys are shared across nodes securely, eliminating the need for pre-established trust.

  2. Encrypted Communication:

     • Users send encrypted requests to AI agents via the hub. Nodes decrypt and process these requests securely, with responses re-encrypted before being returned to the user.

  3. Hub Coordination:

     • The Swarms Shield Hub coordinates node interactions and ensures secure message routing.

• Key Benefits:

  • Communication remains encrypted at every stage, ensuring complete data privacy.

  • Automatic trustless key sharing eliminates reliance on centralized systems.

  • Supports dynamic collaboration between agents in a scalable and secure manner.

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3. Encrypted Storage and Operations for User Messages Using FHE

• Core Objective: Provide end-to-end encryption for user data and interactions, with all operations conducted on encrypted data.

• How It Works:

  1. Encrypted Data Storage:

     • Messages and metadata (e.g., user IDs, timestamps, tags) are stored in encrypted form using FHE, ensuring no plaintext data is exposed.

  2. Secure Operations:

     • Users can perform searches or updates on encrypted data directly without decryption.

  3. User Decryption:

     • Users decrypt data locally using their private keys, ensuring data security and ownership.

• Key Benefits:

  • Full encryption ensures data privacy and protection.

  • Operations on encrypted data maintain security without sacrificing functionality.

  • Guarantees that only users can access their data, protecting sensitive information.

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vFHE Distribution

Eligibility to Vote

• CitizenZ Passport holder on Mind Network