Invention Grant
- Patent Title: Validating confidential data using homomorphic computations
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Application No.: US18097114Application Date: 2023-01-13
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Publication No.: US12177329B2Publication Date: 2024-12-24
- Inventor: Brian Andrew Lam , Milos Dunjic , Alexey Shpurov
- Applicant: The Toronto-Dominion Bank
- Applicant Address: CA Toronto
- Assignee: The Toronto-Dominion Bank
- Current Assignee: The Toronto-Dominion Bank
- Current Assignee Address: CA Toronto
- Agency: Nixon Peabody LLP
- Main IPC: H04L9/00
- IPC: H04L9/00 ; G06F7/58

Abstract:
The disclosed exemplary embodiments include computer-implemented apparatuses and methods that validate confidential data based privacy-preserving homomorphic computations involving encrypted data. For example, an apparatus may receive, from a first computing system, encrypted data that includes a first encrypted value representative of at least one of first account data or an element of cryptographic data. Based on the first encrypted value and on second encrypted values, the apparatus may generate encrypted residual values representative of second account data associated with one or more reference accounts, and the apparatus may request and receive a decrypted residual value associated with each of the encrypted residual values from a second computing system. The apparatus may transmit the decrypted residual values to the first computing system, which may validate the first account data based on at least the decrypted residual values and perform operations associated with the validated first account data.
Public/Granted literature
- US20230155810A1 VALIDATING CONFIDENTIAL DATA USING HOMOMORPHIC COMPUTATIONS Public/Granted day:2023-05-18
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