Voice Call Content Detection for Spoof-Resistant Scam Screening
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Solution Overview
Problem
The increasing sophistication of scammers in spoofing telephone numbers and evading scam alerting mechanisms in telecommunication networks poses a challenge for network operators, who are held responsible for protecting subscribers from fraudulent calls.
Innovation Solution
Integrating a cloud service provider with a telecommunication operator's voice network to transcribe calls using speech-to-text technology and evaluate the transcript with a generative pre-trained transformer (GPT) language model to determine the likelihood of fraudulent activity, enabling proactive notifications and interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional scam alerting mechanisms using telephone number databases are used, then basic scam detection is provided, but sophisticated scammers can defeat these mechanisms by spoofing telephone numbers
Solution Approach 1:
The patent introduces an intermediary AI analysis layer between the telephone number database and the call routing system. This intermediary transcribes call content and analyzes it using machine learning models to detect fraudulent intent, even when the caller ID is spoofed. The intermediary provides deeper inspection beyond surface-level number matching.
Solution Approach 2:
The patent replaces the mechanical, rule-based telephone number database matching system with an intelligent, adaptive AI-based content analysis system. Instead of relying on static number lists, the system uses speech-to-text conversion and natural language processing to dynamically assess call risk based on actual conversation content.
2Measurement precision
If cloud-based AI transcription and analysis services are integrated, then fraud detection accuracy is improved, but system complexity and security requirements increase
Solution Approach 1:
The patent segments the fraud detection system into distinct functional modules: call interception, speech-to-text conversion, AI content analysis, result interpretation, and notification/ intervention systems. Each module operates independently but communicates through standardized interfaces, making the overall complex system manageable and maintainable.
Solution Approach 2:
The patent introduces intermediary components that bridge traditional telephony infrastructure and modern cloud-based AI services. These intermediaries handle protocol translation, data formatting, and security authentication, allowing integration without requiring complete system replacement.
3Reliability
If call content is transmitted to cloud services for analysis, then fraud detection capability is enhanced, but security and privacy concerns arise
Solution Approach 1:
The patent implements preliminary security measures before call content leaves the operator's network. Encryption is applied to transcribed content before transmission, and authentication protocols verify the identity of cloud services receiving the data. This preliminary protection ensures security requirements are met before cloud processing occurs.
Solution Approach 2:
The patent applies different security measures to different parts of the system based on their specific requirements. Sensitive call content receives encryption and anonymization, while metadata like caller ID and timing information uses standard security protocols. This localized approach optimizes security without unnecessarily complicating the entire system.
Data Source
AI summary
Characteristics of a voice call in a telecommunications network are identified. A voice call that is in process in the telecommunications network is accessed and, for a specified segment of the voice call, a sample of the voice call is analyzed. Based on the analysis, a prompt is generated for input to a machine learning model. The prompt is usable to prompt the machine learning model to determine a likelihood that the voice call meets one or more characteristics. The prompt includes an example of a different voice call that meets the one or more characteristics.