Fraud Detection Before Entry-Code Detection for Faster Facility Entry
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Solution Overview
Problem
Existing fraud detection systems take a long time to complete processing after detecting a detection target, such as a code for facility entry, due to the need for fraud detection, which prolongs the entry process.
Innovation Solution
A fraud detection system that determines whether a predetermined action has been performed by a user before detecting the target, executes fraud detection on the user's terminal based on stored identification information, and completes processing upon target detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fraud detection is executed after detecting the code, then the reliability of entry control is improved, but the time required for entry processing increases
Solution Approach 1:
The system executes fraud detection in advance by monitoring predetermined actions (such as code generation or display actions) before the code detection occurs. This preliminary fraud detection allows the system to prepare verification results ahead of time, so when the code is actually detected, the entry process can be completed quickly without waiting for fraud detection to finish.
Solution Approach 2:
The system dynamically adjusts the timing of fraud detection execution based on user actions. Instead of a fixed timing, the fraud detection is triggered by detecting specific user actions (such as generating or displaying a code), allowing the system to optimize the detection timing and reduce unnecessary waiting time during the entry process.
2Reliability
If fraud detection is executed every time a code is detected, then the security against fraudulent entry is improved, but the processing efficiency decreases
Solution Approach 1:
The system performs fraud detection preliminarily by monitoring user actions such as code generation or display. This allows the system to identify potential fraud cases before code detection occurs, enabling efficient processing by having verification results ready in advance and avoiding delays during actual entry operations.
Solution Approach 2:
The system automatically monitors user actions and executes fraud detection based on detected predetermined actions without requiring manual intervention. This self-service approach maintains high security by continuously verifying user behavior while improving efficiency through automated processing that eliminates the need for human review in each case.
Data Source
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AI summary
A fraud detection system (S) executes predetermined processing when a detection target is detected by using a detection device (40). Action determination means (201) determines, before the detection target is detected, whether a predetermined action has been performed by a user having a user terminal (20). Fraud detection means (103) executes, when it is determined that the predetermined action has been performed, fraud detection on the user based on identification information stored in the user terminal (20). Execution means (303) executes, when the detection target is detected, the predetermined processing based on an execution result of the fraud detection.