Long-Term Signature Data Integrity

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Solution Overview

Problem

Existing long-term signature systems do not effectively manage attribute information, which is crucial for maintaining the authenticity and confidentiality of data over time, as attribute values are not subjected to long-term signature processes alongside the original data.

Innovation Solution

An information processing device and program that acquires original data, sets attribute information, associates it with the data, and performs a long-term signature, generating long-term signature data that includes both original and attribute information, ensuring their validity and confidentiality over extended periods.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If attribute information is not included in the long-term signature process, then the signature process remains simple and fast, but the attribute information cannot be verified for long-term authenticity and confidentiality

Engineering Contradiction:
Improvelong-term authenticity verificationVSAvoidsignature process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges attribute information with original data into a single integrated data structure before applying the long-term signature. This combining approach ensures that both the original data and its attributes are signed together, allowing verification of both components simultaneously without requiring separate signature processes, thus improving reliability without proportionally increasing complexity

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent performs preliminary association of attribute information with original data before the signature process. By pre-structuring the data to include both original data and attributes in a defined format, the system prepares the combined data for signing in advance, making the signature process more efficient and manageable despite the added complexity of handling multiple data types

Inventive Principle:
Principle #10Preliminary action

2Reliability

If attribute information is associated with original data and signed together, then long-term verification of attribute authenticity is achieved, but data management complexity increases

Engineering Contradiction:
Improveattribute authenticityVSAvoiddata management ease
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent segments the signed data into distinct components (original data and attribute information) while maintaining their association through the signature. This segmentation allows the system to verify different parts of the data independently while preserving their relationships, making data management more organized and easier to operate despite the comprehensive signing requirement

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates a universal data structure that can accommodate both original data and various types of attribute information within a single signature framework. This multi-functional approach allows the same signature process to handle diverse data types and attributes, simplifying data management operations while ensuring comprehensive verification

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS9231766B2Information processing device and information processing program
Publication Date: 2016.01.05 SEIKO INSTR INC
  • US9231766B2 patent drawing
  • US9231766B2 patent drawing
  • US9231766B2 patent drawing

AI summary

An information processing device has a long-term registration system and a long-term signature system. The long-term registration system receives original data, sets attribute information with respect to the acquired original data, and associates the acquired original data with the set attribute information. The long-term signature system acquires long-term signature data obtained by performing a long-term signature on the associated original data and attribute information.