Multi-Agent Secure Computation via Threshold Cryptography

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Solution Overview

Problem

Existing secure computation methods face challenges in balancing computational efficiency with robust security measures, lack flexibility in handling diverse data types and tasks, struggle with scalability in large-scale distributed systems, and fail to adequately address data sovereignty requirements.

Innovation Solution

A multi-agent system utilizing blockchain-based authentication and threshold cryptography, with secure state management, encrypted state transition management, and distributed key management, to ensure secure and privacy-preserving distributed computation while maintaining data sovereignty.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If computationally intensive cryptographic protocols are used to enhance security, then security robustness is improved, but computational efficiency deteriorates

Engineering Contradiction:

Improvesecurity robustnessVSAvoidcomputational efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The cryptographic system is segmented into multiple components: identity-based encryption for confidentiality, digital signatures for authentication, and key management protocols. This segmentation allows each component to be optimized independently, reducing overall computational overhead while maintaining security robustness.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Public key pairs are generated and registered in advance with identity-based authorities before actual secure communication occurs. This preliminary key establishment eliminates the need for complex real-time key exchange protocols, significantly improving computational efficiency during actual secure operations.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If cryptographic protocols are designed for specific use cases to enhance security, then security robustness is improved, but adaptability deteriorates

Engineering Contradiction:

Improvesecurity robustnessVSAvoidflexibility in handling diverse data types

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The identity-based cryptographic system provides universal functionality through a unified key management framework that handles multiple data types (structured and unstructured), various computational tasks (classification, clustering, regression), and different security requirements (confidentiality, authentication, integrity) through a single adaptable protocol suite.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Reliability

If traditional cryptographic methods are used to ensure security, then security robustness is improved, but scalability deteriorates

Engineering Contradiction:

Improvesecurity robustnessVSAvoidcommunication overhead in large-scale systems

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

Identity-based authorities act as intermediaries that issue public keys bound to entity identities. This intermediary approach eliminates the need for direct key exchange between all pairs of entities in the system, reducing communication overhead from O(n²) to O(n) and enabling scalable secure communication in large multi-agent systems.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Productivity

If data is processed in unencrypted form to improve computational efficiency, then productivity is improved, but data privacy deteriorates

Engineering Contradiction:

Improvecomputational efficiencyVSAvoiddata privacy

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The system changes the encryption parameter from traditional symmetric encryption to identity-based asymmetric encryption, which allows public keys to be freely transmitted and used for encryption without requiring secure key exchange. This parameter change enables efficient encrypted computation while maintaining strong data privacy protections.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12316753B1Secure multi-agent system for privacy-preserving distributed computation

Publication Date: 2025.05.27 K2 NETWORK LABS INC

AI summary

The present disclosure provides a system for secure compute using artificial intelligence agents. The system includes a hardware execution environment with one or more computerized processors and electronic storage media. The processors are configured to establish a secure agent comprising a secure state management module, an encrypted state transition management module, a threshold cryptography implementation, and a digital signature verification module. The system also includes a plurality of atomic agents, each configured to perform a composite task and comprising a task-specific execution module, a state management interface, and a communication module. An orchestrator agent coordinates secure execution of the atomic agents and includes a task distribution module, a result aggregation module, a workflow management module, and a security policy enforcement module. The orchestrator agent integrates encrypted outputs from the atomic agents to perform composite tasks while maintaining data integrity and security through the secure state management module.