Landline Call Fraud Interception Using Server-Side Speech Analysis
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Solution Overview
Problem
Elderly individuals, who are often non-technologically savvy, are vulnerable to financial scams through non-digital means such as landline phone calls, and existing fraud prevention tools are inadequate for real-world social engineering.
Innovation Solution
A fraud prevention device connected to a landline phone that analyzes speech, provides alerts, and offers geographical risk heat maps, with remote management capabilities to configure settings through a user interface designed for the elderly, using natural language processing to identify potential fraud and educate users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If speech analysis and natural language processing are implemented to detect fraud, then fraud detection capability is improved, but device complexity increases
Solution Approach 1:
The patent introduces an application server as an intermediary that performs the complex speech analysis and natural language processing operations. The fraud prevention device itself remains relatively simple, while the server handles the computationally intensive fraud detection algorithms, thereby improving detection capability without significantly increasing device complexity at the user端.
2Ease of operation
If a user interface designed for the elderly is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system includes automated features such as call blocking, risk level assignments, and alert generation that operate without requiring user configuration or intervention. The device automatically manages fraud prevention functions, reducing the operational burden on elderly users while maintaining a simple interface.
Solution Approach 2:
The application server acts as an intermediary that handles complex configuration and management tasks remotely. This allows the user interface to remain simple for elderly users while the server manages the sophisticated fraud prevention logic and settings.
3Measurement precision
If real-time speech analysis is performed during calls, then fraud detection accuracy is improved, but use of energy increases
Solution Approach 1:
The application server performs the energy-intensive real-time speech analysis and natural language processing operations remotely. The fraud prevention device on the user端 remains energy-efficient while the server handles the computationally demanding fraud detection algorithms, achieving high detection accuracy without excessive energy consumption at the user device.
Data Source
AI summary
A method may include receiving, over a first wired phone line interface of a computing device, a telephone call with an originating call identification; passing the telephone call to an attached phone over a second wired phone line interface; matching, at the computing device, the originating call identification to a number list of a plurality of number lists; based on the number list, assigning, using the computing device, the telephone call a threat level; and presenting, on a display device of the computing device, an identification of the threat level.