Cable Modem Fraud Detection via Network Collector Inventory

The system segments fraud detection into distinct functional modules: a network collector that scans and inventories devices, a fraud detection system that analyzes device data, and a policy enforcement system that applies subscription rules. This modular segmentation allows each component to specialize in specific tasks, improving overall fraud detection capability while managing system complexity through clear separation of concerns.

The system performs preliminary actions by continuously scanning the network and building an inventory of legitimate devices before fraud occurs. The network collector proactively collects device identification data, MAC addresses, and subscription information in advance, creating a baseline database that enables rapid fraud detection when anomalies occur, rather than reacting only after fraud is detected.

The system introduces an intermediary approach by having the network collector scan devices and store information in a centralized inventory database, rather than directly querying or interfering with subscriber devices in real-time. The fraud detection system then compares device data against this pre-collected inventory, enabling accurate fraud detection without continuous direct interaction with legitimate subscriber equipment, thus minimizing impact.

The system enables self-service by having devices effectively report their own characteristics through the scanning process, and by using pre-collected device inventory data for comparison. The fraud detection mechanism relies on comparing current device states against the established inventory baseline, allowing accurate detection without requiring continuous active monitoring that would burden legitimate subscribers.