Real-Time Diameter Event Record Streaming for Fraud Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for processing telecommunication event records in batch mode lead to delayed fraud mitigation, inefficient data handling, and resource wastage due to non-real-time processing, resulting in delayed responses to fraud activities and unnecessary data duplication.
Innovation Solution
Implementing a real-time streaming system that uses collector, producer, and consumer components to process and aggregate telecommunication event records in a messaging queue, allowing for immediate fraud detection and billing record generation, thereby reducing storage needs and enabling prompt fraud mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If batch mode processing is used for telecommunication event records, then data processing can be performed with simpler infrastructure, but fraud detection is delayed and response time increases
Solution Approach 1:
The patent transitions from static batch processing to dynamic stream processing, where data flows continuously through the system and is processed in real-time as it arrives. This dynamic approach enables immediate fraud detection while maintaining continuous operational efficiency through the event-driven architecture with producers, consumers, and message queues.
2Speed
If real-time stream processing is implemented, then fraud detection speed improves, but system complexity increases
Solution Approach 1:
The patent segments the processing system into distinct modular components: collector components for data ingestion, producer components for event generation, message queues for buffering, consumer components for processing, and aggregator components for consolidation. This segmentation allows real-time processing capability while managing complexity through clear component boundaries and specialized functions.
Solution Approach 2:
The patent introduces message queues as intermediary components that buffer and manage events between producers and consumers. These intermediaries decouple the production and consumption processes, allowing real-time processing to proceed smoothly without direct synchronization overhead, thus managing system complexity while maintaining speed.
3Loss of substance
If batch processing is used, then storage resources can be fully utilized for data retention, but data duplication increases and storage efficiency decreases
Solution Approach 1:
The patent implements selective data retention where processed events are archived only once after being consumed and aggregated. The stream processing architecture ensures that duplicate copies are not created during processing, and the system recovers storage space by maintaining single copies of processed data in the data store, eliminating the data duplication problem inherent in batch processing systems.
Data Source
AI summary
A method of real-time streaming telecommunication event records. The method comprises receiving event records by a collector component executing on a computer system, storing the event records in a messaging queue by the collector component, where the messaging queue is executed on the computer system, retrieving some of the event records from the messaging queue by a producer component executing on the computer system, where each of the retrieved event records are associated with a same on-going telecommunication activity, aggregating the event records associated with the same on-going telecommunication activity by the producer into a bundle, retrieving the bundle by a consumer component executing on the computer system, formatting the bundle by the consumer component into an aggregated data record, analyzing the aggregated data record based on a predefined fraud pattern by the consumer component, and generating a billing record by the consumer component based on the aggregated data record.