Iterative SIM Box Detection System for Fraudulent Call Networks
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Solution Overview
Problem
Current methods for detecting SIM cards used for soliciting premium-rate calls are inefficient, as they detect fraudulent SIM cards one by one, consuming significant time and resources, and are not effective in identifying groups of SIM cards used for fraudulent activities.
Innovation Solution
A method involving a 'detection' stage where test calls are made to suspected target numbers, analyzing received messages to identify new soliciting and target numbers, and iteratively using new target numbers to detect and store soliciting numbers, allowing for quicker and more comprehensive detection of SIM boxes used for fraudulent calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current methods are used to detect SIM cards one by one, then detection accuracy is maintained, but detection time and resource consumption increase significantly
Solution Approach 1:
The detection system segments the fraudulent communication network into individual components by analyzing caller identifiers (CLI) and tracing them to specific SIM cards and soliciting numbers. This segmentation allows parallel processing of multiple detection paths simultaneously, transforming sequential one-by-one detection into concurrent multi-target detection.
Solution Approach 2:
The system performs preliminary actions by proactively calling target numbers and sending test messages before actual fraudulent calls occur. This preliminary detection phase identifies soliciting numbers and associated SIM cards in advance, allowing the system to prepare detection patterns and trace relationships before the full-scale fraud operation begins, thereby reducing overall detection time.
2Productivity
If individual SIM card detection is performed, then resource consumption is controlled per target, but overall detection efficiency decreases due to sequential processing
Solution Approach 1:
The detection system implements multi-functionality by using a single unified platform that can simultaneously perform multiple detection tasks: calling target numbers, analyzing incoming messages, tracing caller identifiers, identifying soliciting numbers, and detecting fraudulent SIM cards. This universal system handles diverse detection scenarios through integrated modules rather than separate specialized systems, improving throughput while managing complexity through consolidation.
Solution Approach 2:
The system introduces intermediary components including test message templates, message analysis intermediaries, and CLI tracing mediators that facilitate communication between different detection modules. These intermediaries standardize data exchange formats and protocols, allowing parallel processing of multiple detection operations without increasing overall system complexity.
3Reliability
If massive detection of fraudulent SIM cards is attempted, then detection coverage improves, but time consumption increases due to the volume of targets
Solution Approach 1:
The detection system implements periodic action through iterative detection cycles that systematically process batches of target numbers. Each cycle includes: selecting a batch of targets, sending test calls/messages, analyzing responses, identifying new soliciting numbers, and updating the detection database. This periodic batch processing approach ensures comprehensive coverage of all fraudulent SIM cards while maintaining controlled time consumption through structured iteration rather than unstructured exhaustive searching.
Solution Approach 2:
The system employs feedback mechanisms where detection results from each cycle feed into the next cycle's target selection. When a soliciting number is detected, the system automatically generates new target numbers associated with that soliciting number and adds them to the detection queue. This feedback-driven target generation ensures complete coverage of the fraudulent network hierarchy while optimizing detection time by focusing subsequent cycles on newly identified targets rather than re-scanning already-checked numbers.
Data Source
AI summary
The invention relates to a method (100) of detecting a “soliciting” telephone number that is being used fraudulently for soliciting calls to “target” numbers.The method (100) comprises a plurality of iterations of a detection stage (104) comprising the following steps:sending (106) a telephone call to at least one target number;receiving (108) at least one message;detecting (110) at least one soliciting number from said received message; anddetecting a new target number in said received message;the method being characterized in that it includes a new iteration of the detection stage (104) using said new target number when said target number is a new number.The invention also provides a system for performing such a method (100).