Cubic has been granted a patent for a system that detects fraud in international telecommunication traffic. The system includes a transactions registry, logging module, and fraud detection module to identify anomalies and classify calls into fraud types. GlobalData’s report on Cubic gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Cubic, Payment actuated vending was a key innovation area identified from patents. Cubic's grant share as of February 2024 was 80%. Grant share is based on the ratio of number of grants to total number of patents.
Fraud detection system for international telecommunication traffic
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A newly granted patent (Publication Number: US11882236B2) introduces a system designed to detect fraud in international telecommunication traffic. The system includes a transactions registry accessible by multiple operators and carriers, a logging module to record call details, and a fraud detection and classification module. This module analyzes correlated entries from different operators to identify anomalies indicating fraud and classifies the call accordingly. The system utilizes blockchain technology for the distributed transactions registry, includes timing information such as call setup time, and routing information in the entries to enhance fraud detection capabilities.
Furthermore, the system incorporates features like identifying source and destination operators, classifying fraud types such as hijacking, charge evasion, Simbox fraud, and CLI manipulation fraud based on specific criteria. It also considers timing information like answer time and release time to detect call stretching, false answer, and late disconnect fraud types. Additionally, a fraudster identification module arranges entries to identify potential fraudsters in the call chain. The system also includes a notification and reporting module to transmit, store, and process fraud detection results. The patent also outlines a method for detecting fraud in international telecommunication traffic, involving steps like adding entries to the transactions registry, selecting correlated entries, comparing them for anomalies, and classifying the call based on the detected fraud.
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