CPE Fraud Detection via Identification Data Comparison
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Solution Overview
Problem
Network operators face challenges in detecting fraudulent use of customer premise equipment (CPE) devices, as subscribers can relocate these devices to unauthorized premises, violating subscription terms, due to physical control over the devices.
Innovation Solution
A system and method that involve a network fraud detection manager querying CPE devices for identification data, comparing it to historical data, and correlating changes with other metrics like upstream channels and timing offsets to identify potential fraudulent use, using a network operator interface, fraud detection logic, and a CPE interface to flag devices suspected of fraudulent activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subscribers are given physical control over CPE devices at their premises, then service delivery and customer convenience are improved, but fraudulent relocation of devices to unauthorized premises becomes possible
Solution Approach 1:
The system continuously monitors CPE devices by querying identification data from connected devices and comparing it against authorized premises information. This feedback mechanism detects when a CPE device is relocated to an unauthorized location and triggers appropriate responses, resolving the contradiction by maintaining physical control benefits while preventing fraudulent relocation through active monitoring
Solution Approach 2:
The fraud detection manager acts as an intermediary between the CPE device and the network operator. It collects identification data from connected devices, compares it with authorized premises information, and determines whether fraudulent relocation has occurred. This intermediary layer enables service delivery while preventing fraud by mediating between device mobility and authorization constraints
2Reliability
If CPE devices are monitored continuously for fraud detection, then fraudulent use is detected, but network resources and system complexity increase
Solution Approach 1:
The fraud detection functionality is extracted as a separate, dedicated fraud detection manager component rather than being embedded throughout the entire network infrastructure. This extracted module specifically handles identification data collection, comparison, and fraud determination, reducing overall system complexity while maintaining reliable fraud detection capabilities
Solution Approach 2:
Instead of implementing complex monitoring throughout the network, the system uses simplified identification data (such as device identifiers) that can be easily copied and compared. This copying approach allows fraud detection through straightforward data comparison rather than complex continuous monitoring, reducing system complexity while maintaining detection reliability
Data Source
AI summary
Methods, systems, and computer readable media can be operable to detect possible fraudulent use of a customer premise equipment device. Information identifying a device connected to a customer premise equipment device can be retrieved and compared to historical information identifying one or more devices previously connected to the customer premise equipment device. The customer premise equipment device can be classified as a device suspected of fraudulent use when the current information identifying a device connected to the customer premise equipment device is different than the historical information identifying the one or more devices previously connected to the customer premise equipment device.