Generative AI Content Security with Quantum Blockchain Signatures
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Solution Overview
Problem
Generative artificial intelligence models face challenges in security, trust, and privacy due to potential misuse, bias learning, and opaque decision-making processes, with existing solutions failing to comprehensively address these issues.
Innovation Solution
Implementing quantum computation-based security solutions using quantum temporal blockchains and quantum digital signatures to ensure data privacy, prevent unauthorized use, and provide transparency and traceability in generative AI content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quantum temporal blockchains and quantum digital signatures are implemented for security, then security and integrity of generative AI content is improved, but device complexity and system complexity increases
Solution Approach 1:
The patent introduces a quantum temporal blockchain as an intermediary system that mediates between the generative AI model and the content it produces. This blockchain infrastructure provides security, integrity, and traceability without requiring the AI model itself to become more complex. The quantum digital signatures act as intermediaries to verify content authenticity and prevent unauthorized modifications.
Solution Approach 2:
The system segments the security function from the content generation function. The quantum temporal blockchain handles all security-related operations (authentication, integrity verification, traceability) as a separate infrastructure layer, while the generative AI model focuses solely on content creation. This segmentation allows each component to be optimized independently.
2Reliability
If quantum digital signatures are used to ensure data integrity, then authenticity and non-repudiation are improved, but computational resources and energy consumption increase
Solution Approach 1:
The system performs quantum digital signature operations in advance during the content generation process itself, rather than requiring separate verification steps later. The quantum temporal blockchain records content with quantum signatures at the moment of creation, embedding the security mechanism into the workflow rather than adding it as a subsequent energy-intensive process.
Data Source
AI summary
A method for providing quantum computation-based security solutions for generative artificial intelligence content includes generating an item of new content based on an input, and using a generative artificial intelligence foundation model that has been trained to generate items of new content having characteristics that mimic characteristics of content included in a set of training data, storing the item of new content in a quantum temporal blockchain, detecting an action performed by the generative artificial intelligence foundation model against the item of new content, and logging the action in the quantum temporal blockchain.