Iterative SIMBOX Fraud Detection via Robot Call Analysis
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Solution Overview
Problem
Current methods for detecting SIM cards used to solicit fraudulent communications are inefficient, as they primarily focus on individual SIM card detection and do not effectively identify groups of fraudulently used SIM cards, leading to time-consuming disconnections.
Innovation Solution
A method involving a detection phase where a test number is used to transmit communications to target numbers, analyzing received messages for new soliciting and target numbers, and iteratively repeating this process to detect fraudulent SIM cards, such as those operated by SIMBOXes, by stimulating communications to identify and store new numbers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual SIM card detection methods are used, then detection accuracy for single fraudulent SIM cards is achieved, but detection speed and efficiency for groups of fraudulent SIM cards deteriorates
Solution Approach 1:
The patent segments the detection process into multiple iterative phases, where each phase detects a batch of fraudulent SIM cards using robot calls to target numbers. Instead of detecting SIM cards one by one, the system divides the detection into cycles: initiating calls from multiple test numbers, collecting responses, analyzing soliciting numbers, and repeating with newly detected target numbers. This segmentation enables parallel processing of multiple SIM cards simultaneously, improving detection speed while maintaining accuracy through systematic analysis of each batch.
Solution Approach 2:
The patent implements preliminary actions by pre-configuring multiple robot test numbers and target number lists before the detection process begins. The system prepares the infrastructure for mass detection in advance, including setting up automated calling capabilities and pre-identifying potential target numbers that are commonly used in fraudulent schemes. This preliminary preparation enables the system to rapidly detect groups of fraudulent SIM cards without needing to set up individual detection processes for each card.
2Productivity
If mass disconnection of fraudulent SIM cards is implemented, then productivity in removing fraudulent SIM cards is improved, but the complexity of the detection and disconnection system increases
Solution Approach 1:
The patent introduces an intermediary detection system that acts as a bridge between fraudulent SIM cards and the disconnection mechanism. The robot calling system and analysis engine serve as intermediaries that automatically identify, verify, and flag fraudulent SIM cards for disconnection. This intermediary layer handles the complexity of detection algorithms, number analysis, and fraud pattern recognition, while the actual disconnection process remains a straightforward automated action based on the intermediary's recommendations. This separation of detection complexity from execution simplicity enables efficient mass disconnection.
Solution Approach 2:
The system implements self-service by enabling automated detection and disconnection processes that require minimal human intervention. The robot calling system automatically initiates calls, analyzes responses to identify soliciting numbers, cross-references detected numbers against known fraud patterns, and triggers disconnection actions for confirmed fraudulent SIM cards. The system serves itself by continuously learning from new detections and automatically adapting its detection criteria, reducing the need for manual system configuration and oversight while maintaining high productivity in fraud detection and removal.
Data Source
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AI summary
The invention relates to a method (100) for detecting soliciting phone numbers fraudulently used to solicit calls to target numbers. The method (100) comprises several iterations of a detection phase (104) including the following steps: - initiating (106) a telephone call to at least one target number; - receiving (108) at least one message(s); - detecting (110) at least one soliciting number using said received message; and - detecting a new target number in said received message; characterized in that it includes a further iteration of the detection phase (104) using said new target number, when said target number is a new number. The invention also relates to a system implementing such a method (100).