Anomalous Data Sensing With Ledger-Based Validation
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Solution Overview
Problem
Data collected for services in areas like tourism and healthcare may be abnormal or anomalous, rendering it unusable, thus preventing proper service provision.
Innovation Solution
An anomalous data sensing system utilizing a control method with authentication servers that verify and record data into a distributed ledger using a consensus algorithm to ensure data validity and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is collected and recorded without verification, then data quantity and service provision speed are improved, but data reliability and service quality deteriorate due to potential anomalous data
Solution Approach 1:
The system performs preliminary sensing and verification of data anomalies before recording data in the distributed ledger. The sensing server detects anomalous data patterns in advance, and authentication servers verify transaction data before consensus, preventing unreliable data from being stored while maintaining efficient data collection processes
2Reliability
If data verification and consensus algorithms are implemented, then data reliability is improved, but system complexity and processing time increase
Solution Approach 1:
The system divides verification responsibilities into specialized components: sensing servers detect anomalies, authentication servers verify transactions, and consensus algorithms validate data. This segmentation allows each component to focus on specific verification tasks, improving reliability while managing complexity through modular architecture
3Loss of information
If all collected data is recorded in the distributed ledger, then data availability is improved, but storage efficiency deteriorates due to inclusion of anomalous data
Solution Approach 1:
The system extracts and identifies anomalous data through sensing and verification processes before recording. By taking out problematic data through anomaly detection and verification failures, the system ensures only valid data is stored in the distributed ledger, optimizing storage efficiency while maintaining data availability
Data Source
AI summary
A control method for an anomalous data sensing system including at least a plurality of authentication servers and including: sensing whether data obtained from a device is not anomalous; obtaining first transaction data including information indicating the data; verifying, by a first authentication server included in the plurality of authentication servers, the first transaction data obtained, when the data is sensed as not being anomalous; and recording a block including the first transaction data into a distributed ledger when an agreement about validity of the first transaction data is reached using a consensus algorithm.


