Automated Data Transmission Threat Detection System
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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 format deviations, terminating suspicious transmissions and updating files to comply with historical standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection of data transmissions is performed, then security threats can be detected, but monitoring a large number of transmissions becomes error-prone and inefficient
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated system that extracts data features, compares them against historical data, and detects deviations automatically. This substitution eliminates human error while maintaining high detection reliability and improving monitoring efficiency through automated processing of large volumes of transmissions.
2Productivity
If automated feature extraction and comparison is implemented, then monitoring efficiency improves, but system complexity increases
Solution Approach 1:
The system segments the monitoring process into distinct modular components: data feature extraction module, historical data retrieval module, comparison module, and threat detection module. Each module performs a specific function, making the overall complex system manageable through functional segmentation while maintaining high automation efficiency.
3Measurement precision
If multiple data features are monitored and compared, then detection accuracy improves, but processing resources increase
Solution Approach 1:
The system applies local quality by selectively monitoring specific data features (size, timestamp, credentials, security mechanisms) based on their relevance to security threats. Rather than uniformly processing all possible data attributes, the system focuses computational resources on critical features that provide the highest detection accuracy with minimal resource consumption.
Data Source
AI summary
A system for security threat 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 is associated with a security threat that makes the data file vulnerable to unauthorized access. The system determines whether more than a threshold percentage of the data features are associated with security threats. If it is determined that more than the threshold percentage of the data features are associated with security threats, the system terminates the transmission of the data file.