20240031159. Generating Synthetic Invisible Fingerprints for Metadata Security and Document Verification Using Generative Artifical Intelligence simplified abstract (BANK OF AMERICA CORPORATION)

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Generating Synthetic Invisible Fingerprints for Metadata Security and Document Verification Using Generative Artifical Intelligence

Organization Name

BANK OF AMERICA CORPORATION

Inventor(s)

Sakshi Bakshi of New Delhi (IN)

Durga Prasad Kutthumolu of Hyderabad (IN)

Generating Synthetic Invisible Fingerprints for Metadata Security and Document Verification Using Generative Artifical Intelligence - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240031159 titled 'Generating Synthetic Invisible Fingerprints for Metadata Security and Document Verification Using Generative Artifical Intelligence

Simplified Explanation

The abstract of the patent application describes a method for generating synthetic invisible fingerprints using generative artificial intelligence (AI) for metadata security and document verification. The process involves capturing physical fingerprint images of a user, encoding them using a quantum key distribution scheme, and storing the encoded information in a data store. Using a generative AI algorithm, the system then generates synthetic fingerprint images associated with the physical fingerprints. These synthetic fingerprints can be used for smart contract generation.

  • The computing platform captures physical fingerprint images of a user.
  • The first fingerprint information is encoded using a quantum key distribution scheme.
  • The encoded first fingerprint information is stored in a data store.
  • Using a generative AI algorithm, the computing platform generates synthetic fingerprint images associated with the physical fingerprints.
  • The second fingerprint information, consisting of the synthetic fingerprint images, is transmitted for smart contract generation.

Potential Applications:

  • Metadata security: The technology can be used to enhance the security of metadata by generating synthetic fingerprints that can be used for verification purposes.
  • Document verification: Synthetic fingerprints can be used to verify the authenticity of documents, ensuring their integrity and preventing fraud.
  • Smart contract generation: The generated synthetic fingerprints can be utilized in the generation of smart contracts, providing an additional layer of security and verification.

Problems Solved:

  • Security and verification: The technology addresses the need for secure and reliable methods of metadata security and document verification.
  • Fraud prevention: By generating synthetic fingerprints, the system helps prevent fraud and ensures the authenticity of documents and transactions.

Benefits:

  • Enhanced security: The use of generative AI and synthetic fingerprints improves the security of metadata and documents, reducing the risk of unauthorized access or tampering.
  • Efficient verification: The technology provides a more efficient and reliable method for verifying the authenticity of documents and transactions.
  • Integration with smart contracts: The generated synthetic fingerprints can be seamlessly integrated into smart contract generation processes, enhancing the overall security and reliability of smart contracts.


Original Abstract Submitted

aspects of the disclosure relate to generating synthetic invisible fingerprints for metadata security and document verification using generative artificial intelligence (ai). a computing platform may capture first fingerprint information via a computing device. the first fingerprint information may include one or more physical fingerprint images of a user. the computing platform may encode the first fingerprint information in accordance with a quantum key distribution scheme. the computing platform may store the encoded first fingerprint information in a data store. based on the encoded first fingerprint information and using a generative artificial intelligence algorithm, the computing platform may generate second fingerprint information. the second fingerprint information may include one or more synthetic fingerprint images associated with the one or more physical fingerprint images of a user. the computing platform may transmit the second fingerprint information for smart contract generation.

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