Vehicle Threat Information Abstraction for Cross-Type Risk Evaluation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing systems lack a method to determine the usefulness and urgency of threat information for vehicle types different from the one where the threat occurred, and existing methods do not effectively evaluate threat information without revealing vulnerabilities specific to a vehicle type.

Innovation Solution

A threat information deploying system that includes an obtainer, a threat information abstractor, and an outputter to generate abstracted threat information by deleting vehicle-type-specific information and assigning a risk value for a different vehicle type, allowing effective deployment and evaluation of threat information across vehicle types.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If threat information is shared across different vehicle types, then security response capability is improved, but vulnerability revelation and inapplicability to specific vehicle types occur

Engineering Contradiction:
Improvesecurity response capabilityVSAvoidvehicle type compatibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent extracts vehicle-type-specific information from threat information to create abstracted threat information that can be universally applied across different vehicle types. This extraction process removes identifying characteristics that would reveal vulnerabilities of specific vehicle types while preserving the essential threat detection capabilities.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates abstracted threat information that serves multiple vehicle types simultaneously. By generalizing the threat information to remove vehicle-type-specific details, a single abstracted threat information set can be applied across diverse vehicle types, improving both universality and security response capability.

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

2Measurement precision

If vehicle-type-specific threat information is accumulated, then detection accuracy for that vehicle type is improved, but sharing and widespread utilization are hindered

Engineering Contradiction:
Improvethreat detection accuracyVSAvoidthreat information sharing efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent introduces abstracted threat information as an intermediary between vehicle-type-specific threat information and universal threat information. This intermediary form allows accurate threat detection to be translated into a shareable format that maintains effectiveness across different vehicle types without revealing specific vulnerabilities.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If threat information is generalized for wide application, then sharing efficiency is improved, but detection precision for specific vehicle types deteriorates

Engineering Contradiction:
Improvethreat information sharing efficiencyVSAvoidthreat detection accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent creates abstracted threat information as a copy that preserves the essential detection patterns while removing vehicle-type-specific identifiers. This copying approach allows threat information to be replicated and shared across different vehicle types without losing the core detection accuracy needed for identifying security threats.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS12537831B2Threat information deploying system, threat information deploying method, and recording medium
Publication Date: 2026.01.27 PANASONIC INTELLECTUAL PROPERTY CORP OF AMERICA
  • US12537831B2 patent drawing
  • US12537831B2 patent drawing
  • US12537831B2 patent drawing

AI summary

A monitoring server of an in-vehicle control network system includes a threat information generator that obtains first threat information pertaining to a threat that has occurred in a vehicle of a first vehicle type, a threat information abstractor that generates abstracted threat information by deleting information specific to the first vehicle type from the first threat information, and a display that outputs second threat information generated based on the abstracted threat information and including a risk value indicating a risk level of the threat to a second vehicle type different from the first vehicle type.