Biometric Authentication Probability Scoring for Fraud Resistance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Biometric authentication systems for financial transactions face challenges in achieving high accuracy and speed while preventing fraudulent attempts, as they often result in false rejections of valid customers and provide feedback to fraudsters, which can encourage further attempts.
Innovation Solution
A system that calculates a combined probability of liveness and match to authorize transactions, using the formula D=Pp*(K+Pm), where Pp is the probability of a live person and Pm is the probability of a match, incorporating methods such as image reflection analysis and temperature measurement to determine liveness, and biometric data comparison to assess authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication systems use strict matching thresholds to prevent fraud, then security against fraudulent attempts is improved, but the rejection rate of valid customers increases
Solution Approach 1:
The patent changes the authentication parameter from a binary match/no-match decision to a continuous probability score D=Pp*(K+Pm). This allows the system to maintain high security by requiring a high probability score while reducing false rejections by accounting for both liveness and match probabilities, rather than using a fixed threshold that inadvertently rejects valid customers with slightly varying biometric readings.
2Ease of operation
If biometric systems provide detailed authentication feedback to users, then user experience is improved, but fraudsters can use this feedback to refine their fraudulent attempts
Solution Approach 1:
The patent extracts only the essential authentication outcome (authorized/not authorized) from the detailed probability analysis. The system calculates both Pp (liveness probability) and Pm (match probability) and combines them into a single decision metric D, but only communicates the final authorization decision to the user, not the intermediate probability values. This removes the harmful information that could help fraudsters while maintaining user experience through clear authorization feedback.
3Productivity
If biometric systems process authentication quickly to maintain high transaction speed, then productivity is improved, but the ability to perform thorough fraud detection is reduced
Solution Approach 1:
The patent performs preliminary liveness detection (calculating Pp) before the final match comparison (calculating Pm). The liveness check using reflection analysis and temperature measurement quickly eliminates obvious spoofing attempts early in the process, allowing the system to proceed rapidly with genuine users while maintaining thorough fraud detection capability through the combined probability formula D=Pp*(K+Pm).
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces the rejection rate of valid customers, provides a strong deterrent against fraudulent attempts by obscuring feedback on authentication methods, and enhances the system's ability to detect and deter fraudulent activities by combining liveness and match probabilities in decision-making.
Implementation Method 1
temperature measurement to determine liveness
Implementation Method 2
image reflection analysis
Data Source
AI summary
A method and system for authenticating financial transactions is disclosed wherein biometric data is acquired from a person and the probability of liveness of the person and probability of a match between the person or token and known biometric or token information are calculated, preferably according to a formula D=P(p)*(K+P(m)), wherein K is a number between 0.1 and 100, and authenticating if the value of D exceeds a predetermined value.