Security Management System for Invalid Interaction Detection
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Solution Overview
Problem
Existing security management technologies fail to detect suspicious activity, particularly when information is intercepted and used by one entity for unauthorized access, and are limited by resource constraints, missing low-value or low-volume interactions that could compromise network security.
Innovation Solution
A system and method for security management that identifies and inhibits suspicious activity by comparing application information from a first entity to stored entity account data, conducting authorization sessions, and monitoring interactions to detect invalid transactions, thereby conserving computer resources and enhancing network security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional filtering processes search for higher-value interactions or high volume of interactions to determine suspicious activity, then detection capability for high-value transactions is improved, but computer resources and bandwidth are consumed and low-value or low-volume suspicious interactions are missed
Solution Approach 1:
The system performs preliminary validation of interaction data before processing. It checks whether interaction records are valid by verifying required fields exist and data types are correct, filtering out invalid interactions early in the process to reduce computational load on subsequent analysis stages.
Solution Approach 2:
The system changes the detection parameters from traditional value-volume thresholds to validity-based detection. Instead of filtering by minimum value or volume thresholds, the system now detects suspicious activity by identifying invalid interactions and analyzing patterns among them, fundamentally altering the detection approach to be resource-efficient.
2Productivity
If conventional filtering processes use high-value or high-volume thresholds, then processing speed is maintained, but detection precision for security-compromising events is reduced
Solution Approach 1:
The system performs preliminary validation of interaction data before processing. It checks whether interaction records are valid by verifying required fields exist and data types are correct, filtering out invalid interactions early in the process to reduce computational load on subsequent analysis stages.
Solution Approach 2:
The system replaces traditional mechanical filtering mechanisms (value-volume thresholds) with a validation-based detection mechanism. This substitution allows the system to maintain high processing speed while improving detection precision by focusing computational resources on validating and analyzing interaction records rather than filtering by arbitrary thresholds.
3Measurement precision
If the system validates all interaction records to improve detection accuracy, then detection precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary validation of interaction data before processing. It checks whether interaction records are valid by verifying required fields exist and data types are correct, filtering out invalid interactions early in the process to reduce computational load on subsequent analysis stages.
Solution Approach 2:
The system extracts and separates invalid interactions from valid ones during the validation process. By identifying and removing invalid records early, the system reduces the amount of data that requires full analysis, thereby maintaining high detection precision while minimizing processing time.
Data Source
AI summary
An apparatus for security management of a plurality of interactions comprises a processor operable to receive a plurality of interactions, where each interaction comprises interaction information associated with at least one of a plurality of users and a first entity. The processor is operable to determine a threshold value of the plurality of interactions and a threshold volume of the plurality of interactions, determine that a value of each of the plurality of interactions has not exceeded the threshold value of the plurality of interactions, and determine that the plurality of interactions has not exceeded the threshold volume of the plurality of interactions. The processor is operable to determine a number of instances of the plurality of interactions that were invalid, determine that the number of instances of the plurality of interactions that were invalid exceeds a threshold, and determine that the first entity is associated with suspicious indicators.


