Quantum Authenticator for Secure Distributed Authentication

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Solution Overview

Problem

Current authentication systems lack efficiency and security in verifying user authentication data, particularly in large-scale distributed networks, where conventional methods struggle to ensure secure and efficient user authorization.

Innovation Solution

A system utilizing quantum computing and a distributed server network for secure authentication, which stores encrypted authentication data and employs a quantum authenticator and machine learning authorization engine to compare and authorize user actions based on historical data and settings, ensuring secure and efficient authentication and authorization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional authentication methods are used in distributed networks, then device complexity is reduced, but security and efficiency deteriorate

Engineering Contradiction:
Improveauthentication securityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a quantum authenticator as an intermediary component that mediates between the user and the distributed server network. This quantum authenticator performs quantum key distribution and quantum teleportation to securely transmit authentication data, thereby enhancing security without requiring every node in the distributed network to implement complex quantum protocols directly.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent utilizes quantum teleportation to create copies of quantum states for authentication purposes. The quantum authenticator teleports quantum information from the user's device to the server, enabling secure verification without physically transferring the original quantum data, thus maintaining security while enabling distributed verification.

Inventive Principle:
Principle #26Copying

2Reliability

If quantum computing is implemented for authentication, then security is improved, but processing time increases

Engineering Contradiction:
Improveauthentication securityVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements preliminary quantum key distribution and entanglement establishment during system initialization or before authentication events. By pre-establishing quantum channels and entangled states, the actual authentication process can proceed more quickly without requiring real-time quantum computation for key generation, thus reducing processing time while maintaining quantum-enhanced security.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If encrypted authentication data is stored in distributed registers, then security is improved, but data access efficiency deteriorates

Engineering Contradiction:
Improvedata securityVSAvoiddata access efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent segments authentication data into multiple encrypted portions stored across different nodes in the distributed register. Each node holds a fragment of the authentication data in encrypted form, and verification is performed by combining these segments through quantum protocols. This segmentation enhances security through distributed storage while enabling efficient verification through parallel processing at multiple nodes.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11907347B2System for secure verification of authentication data using quantum computing and a distributed server network
Publication Date: 2024.02.20 BANK OF AMERICA CORP
  • US11907347B2 patent drawing
  • US11907347B2 patent drawing
  • US11907347B2 patent drawing

AI summary

A system is provided for secure verification of authentication data using quantum computing and a distributed server network. In particular, the system may store a reference set of authentication data associated with a user within a distributed server database in an encrypted form. Subsequently, when the system receives live set of authentication data associated with the user, the system may, using a quantum authenticator, compare the encrypted live set of authentication data with the encrypted reference set of authentication data for authorization purposes. The system may further comprise a quantum machine learning authorization engine which may track historical data and/or settings associated with the user to model and predict behavior patterns of the user. In this way, the system provides a secure and efficient way to perform authentication and/or authorization of the user.