Behavioral Biometric Fraud Detection via Input Dynamics
Solution Overview
Problem
Current methods for verifying the truthfulness of information provided during application processes, such as visa and loan applications, are inefficient due to time and economic constraints, necessitating a simpler method to detect fraudulent information.
Innovation Solution
A behavioral biometric-based system that monitors electronic input device dynamics, such as keyboard and mouse usage patterns, to identify anomalous behavior indicative of deceptive responses, using baseline data to compare against control characteristics for fraud detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extensive background checking is performed to determine the veracity of information, then the accuracy of fraud detection is improved, but the time consumption and economic cost increase
Solution Approach 1:
The patent replaces the mechanical system of extensive background checking with a behavioral biometric analysis system that automatically analyzes electronic input device dynamics. This substitution uses computational algorithms to process behavioral data (keyboard typing patterns, mouse movements, click sequences) instead of manual verification processes, thereby maintaining fraud detection accuracy while dramatically reducing time consumption and economic cost.
Solution Approach 2:
The patent introduces behavioral biometric data as an intermediary element between the subject and the verification process. Instead of directly checking background information, the system uses behavioral patterns captured during form filling as an indirect indicator of truthfulness. This intermediary approach enables fraud detection without requiring extensive background checks, resolving the contradiction between accuracy and time efficiency.
2Reliability
If extensive background checking is performed to determine the veracity of information, then the accuracy of fraud detection is improved, but the economic cost increases
Solution Approach 1:
The patent replaces expensive manual background checking processes with an automated behavioral biometric analysis system. The system captures and analyzes electronic input device dynamics using software algorithms, eliminating the need for costly human investigators and extensive verification procedures while maintaining high fraud detection accuracy.
Solution Approach 2:
The system enables the verification process to serve itself by automatically analyzing behavioral data without requiring external verification resources. The behavioral biometric analysis is performed autonomously by the system itself, reducing economic costs associated with external background checking services while maintaining detection accuracy.
3Measurement precision
If traditional verification methods are used, then thorough checking of information is possible, but the process becomes complex and time-consuming
Solution Approach 1:
The patent replaces complex manual verification procedures with an automated behavioral biometric analysis system. The system automatically captures electronic input device dynamics and applies analytical algorithms to assess information veracity, maintaining thoroughness while eliminating procedural complexity.
Solution Approach 2:
The patent changes the verification parameters from checking the content of provided information to analyzing the behavioral parameters of how the information was provided. By measuring electronic input device dynamics (typing speed, pause duration, mouse movement patterns), the system achieves thorough verification through a different parameter set that is inherently simpler to measure and analyze.
Data Source
AI summary
The present invention provides a system and a method for detecting or determining possible fraudulent information provided by a subject using the subject's behavioral biometric during an application filing process using an electronic input device. The method involves comparing the subject's electronic input device usage characteristic with a control electronic input device usage characteristic data to determine a fraud potential of the subject's input or answer to the question.