Secure CDR Exchange for Real-Time Telephony Fraud Detection
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Solution Overview
Problem
Current telecommunication fraud detection systems suffer from latency in detecting fraudulent calls, as they rely on complex analytics and past fraud data, leading to delayed detection and reconciliation, which is inadequate for real-time fraud prevention and accounting.
Innovation Solution
Implementing a method where call data records (CDRs) are electronically signed and exchanged between origin and target nodes, allowing for real-time validation and fraud notification, using secure CDRs to flag discrepancies in call durations and prevent fraud during call routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex analytics and data correlations are used to detect fraud, then fraud detection accuracy is improved, but detection latency increases
Solution Approach 1:
The system performs preliminary actions by electronically signing CDRs at the origin node before transmission and validating them at intermediate nodes during call routing. This advance preparation and verification eliminate the need for complex post-call analytics, enabling real-time fraud detection without latency.
Solution Approach 2:
The invention extracts the essential fraud detection mechanism from complex analytics by focusing solely on validating the electronic signature of CDRs. This extraction simplifies the detection process to a single critical verification step, achieving both high accuracy and real-time performance.
2Measurement precision
If CDR data is collected, organized, transformed, and analyzed using fuzzy logic, then fraud risk ratings are improved, but processing time increases
Solution Approach 1:
The system uses disposable electronic signatures on CDRs that provide precise fraud identification without requiring complex processing. Each signed CDR is a self-contained verification object that can be quickly validated, eliminating the need for time-consuming fuzzy logic analysis while maintaining high precision.
Solution Approach 2:
The invention replaces the mechanical system of complex data collection, organization, transformation, and fuzzy logic analysis with an electronic signature validation mechanism. This substitution eliminates multi-step processing while achieving equivalent or superior fraud detection precision in real-time.
3Adaptability or versatility
If multiple intermediate nodes are used for call routing, then call connectivity is improved, but fraud detection complexity increases
Solution Approach 1:
The electronic signature validation mechanism serves multiple functions across different node types (origin, intermediate, target). The same simple validation process works universally at every node, maintaining routing flexibility while avoiding the need for complex node-specific fraud detection logic.
Solution Approach 2:
The electronically signed CDR acts as an intermediary that carries fraud detection information through multiple intermediate nodes. This mediator enables simple validation at each node without requiring complex inter-node coordination, thus supporting flexible routing while keeping detection complexity low.
Data Source
AI summary
A method for detecting of fraudulent calls is provided. The method includes initiating, by an origin node, a call to a target node, and generating, by the origin node, a first call data record (CDR) for the call, wherein the CDR includes at least one call parameter of the call recorded by the origin node upon termination of the call. The method also includes generating, by the origin node, a first secure CDR that contains the first CDR, sending, by the origin node, the first secure CDR to the target node, and generating, by the origin node, a fraud notification based on a second secure CDR received from a first node and the first secure CDR.