Secure Computation for Confidential Cross-Bank Trend Analysis

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Solution Overview

Problem

Financial institutions face challenges in sharing confidential financial transaction information for comparative analysis due to data confidentiality concerns, making it difficult to grasp the transaction trends across multiple institutions.

Innovation Solution

A secure computation system that acquires and computes financial transaction information in a concealed format using methods like homomorphic encryption and multi-party computation to generate indices without revealing individual institution data, enabling trend analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If financial transaction information is shared for comparative analysis, then trend understanding is improved, but data confidentiality is compromised

Engineering Contradiction:

Improvetrend understandingVSAvoiddata confidentiality

Core Design Contradiction:

Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The patent segments financial transaction information into concealed formats (encrypted data, aggregated statistics, anonymized records) that can be shared without revealing sensitive details. This allows trend analysis to be performed on segmented data while maintaining confidentiality of individual transaction records.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces intermediary mechanisms such as secure computation protocols, trusted execution environments, and data intermediaries that enable comparative analysis without direct data sharing. These intermediaries process the financial transaction information in a confidential manner, allowing trend understanding while preserving data confidentiality.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If confidential data is analyzed in concealed form, then data security is improved, but analysis capability is reduced

Engineering Contradiction:

Improvedata securityVSAvoidanalysis capability

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent changes parameters of data representation (encryption levels, aggregation granularity, anonymization techniques) to balance security and analysis capability. By adjusting these parameters, the system can maintain data security while preserving sufficient information for meaningful trend analysis.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent employs composite approaches combining multiple concealment techniques (encryption, aggregation, anonymization) and analysis methods (secure computation, differential privacy) to achieve both data security and analysis capability. This composite strategy allows the system to leverage the strengths of different methods while mitigating their individual limitations.

Inventive Principle:

Principle #40Composite materials

Data Source

PatentUS12561479B2Secure computation system, method, recording medium, and information processing system

Publication Date: 2026.02.24 NEC CORP

AI summary

A secure computation system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire financial transaction information possessed by each of a plurality of financial institutions in a concealed format; compute an index based on the financial transaction information of the plurality of financial institutions by secure computation; and output the index.