Mobile Object Data Verification for Driving Support Stability
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Solution Overview
Problem
Existing high-speed driving support systems for automobiles are vulnerable to data falsification and attacks due to primitive hardware and software, leading to instability and reliability issues.
Innovation Solution
A system that acquires and verifies measurement data from mobile objects using sensors, detects anomalies, and judges the reliability of the data to prevent falsified information from destabilizing the system, ensuring stable operation and maintaining system reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If measurement data is acquired from mobile objects using sensors, then the system can obtain driving support information, but the data may be falsified by viruses or malware leading to system instability
Solution Approach 1:
The system implements a feedback mechanism where mobile objects verify each other's measurement data. When a mobile object transmits measurement data, other mobile objects in the vicinity detect and verify this data, creating a feedback loop that validates information authenticity and filters out falsified data from compromised devices.
Solution Approach 2:
The system introduces an intermediary verification mechanism where third-party mobile objects act as mediators to validate measurement data. Instead of directly trusting data from a single source, the data passes through an intermediary verification stage where multiple mobile objects cross-check the information before it is accepted by the system.
2Loss of information
If the system accepts data from multiple mobile objects, then it can improve coverage and information quality, but it increases vulnerability to attacks and data falsification
Solution Approach 1:
The system uses feedback from multiple mobile objects to cross-validate measurement data. Each mobile object's detection results are fed back to the system and compared against data from other mobile objects, allowing the system to maintain complete information coverage while identifying and filtering out falsified data through this mutual verification feedback loop.
Solution Approach 2:
The system merges measurement data from multiple mobile objects and combines it with detection results from other mobile objects. This merging process creates a composite view of the environment that is more robust against individual data falsification, as the system can identify outliers and inconsistencies when combining multiple independent measurement sources.
3Reliability
If the system verifies measurement data using detection data from other mobile objects, then it can prevent data falsification, but it increases system complexity
Solution Approach 1:
The verification system operates on a self-service basis where mobile objects autonomously perform verification of each other's data without requiring centralized verification infrastructure. Each mobile object independently detects and validates measurement data from other mobile objects, eliminating the need for complex centralized verification systems while maintaining high data reliability.
Solution Approach 2:
The system implements a universal verification mechanism where mobile objects serve multiple functions: they are both data sources and verification agents. The same sensors and processing units used for primary measurement also perform verification of other mobile objects' data, eliminating the need for separate dedicated verification hardware and reducing overall system complexity.
Data Source
AI summary
An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may acquire, by a first acquiring section, measurement data obtained by a first mobile object measuring the first mobile object, using a sensor of the first mobile object. The embodiment may acquire, by a second section, data obtained by a second mobile object detecting the first mobile object in response to a request from outside, using a sensor of the second mobile object. The embodiment may verify, by a verifying section, a validity of the measurement data using the detection data.