Data Feature Comparison for Incompliance Detection
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Solution Overview
Problem
Current information security technologies are inadequate for reliable and efficient detection of security threats, anomalies, and incompliances in data transmissions, leading to potential unauthorized access and transmission failures.
Innovation Solution
A system that extracts and compares data features from transmitted files with historical data features to detect unauthorized transmissions, irregularities, and deviations in security measures, terminating suspicious transmissions and updating files to comply with historical structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection of data transmissions is performed, then security threats and anomalies can be detected, but the process is error-prone and inefficient for large volumes of transmissions
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated computer-based system that extracts features from data files and compares them against historical transmission patterns. This automated system processes large volumes of transmissions efficiently while maintaining high detection reliability through systematic feature analysis.
Solution Approach 2:
The system enables self-service by automatically monitoring and detecting security threats without human intervention. The computer system independently extracts features, compares them with historical data, identifies anomalies, and generates alerts, making the transmission monitoring process autonomous and scalable.
2Productivity
If automated feature extraction and comparison is implemented, then detection efficiency improves, but system complexity increases
Solution Approach 1:
The patent segments the complex detection task into distinct feature extraction steps, each focusing on specific attributes of data files (e.g., metadata, content characteristics, transmission patterns). This modular approach improves detection efficiency while managing system complexity through organized, manageable components.
3Measurement precision
If comprehensive feature comparison is performed, then detection accuracy improves, but processing time increases
Solution Approach 1:
The patent extracts only the most relevant and discriminative features from data files for comparison against historical patterns. By selecting key features rather than analyzing all possible attributes, the system achieves high detection accuracy while minimizing processing time through focused feature extraction.
Data Source
AI summary
A system for incompliance detection in data transmission extracts data features from a data file. The system compares each data feature with a corresponding historical data feature associated with a historical transmission of the data file. The system determines whether the data feature deviates from the corresponding historical data feature. In response to determining that the data feature deviates from the corresponding historical data feature, the system determines that the data feature does not comply with the corresponding historical data feature. The system determines whether more than a threshold percentage of the data features deviate from corresponding historical data features. If it is determined that more than the threshold percentage of the data features deviate from corresponding historical data features, the system sends a notification to update the data file, such that the updated data file corresponds to the data file in historical transmissions.