Biometric Challenge Selection Using User Trait Deviation

Solution Overview

Problem

Conventional authentication methods do not effectively account for unique user features when selecting biometric challenges, leading to potential false positives, as they do not tailor challenges based on distinguishing traits such as speech patterns, location, and device usage.

Innovation Solution

An authentication system that extracts user traits from electronic input, maps these traits to user attributes, and selects biometric challenges that deviate most from the mean values across a population, thereby emphasizing the most distinguishing characteristics of the user.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional authentication uses generic biometric challenges (e.g., random phrases), then the authentication process is simple and fast, but the reliability decreases due to higher false positives from fraudulent users

Engineering Contradiction:

Improveauthentication reliabilityVSAvoidauthentication system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary analysis of user traits (speech patterns, location, device characteristics) during the authentication process before selecting the challenge. This allows the system to customize challenges based on pre-analyzed user profiles, improving reliability without requiring complex pre-processing infrastructure

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The authentication system transitions from uniform generic challenges to localized personalized challenges tailored to each user's specific traits. By adapting challenge content to local user characteristics (e.g., Boston accent patterns, Tel Aviv location), the system improves authentication reliability while maintaining manageable complexity through targeted customization

Inventive Principle:

Principle #3Local quality

2Measurement precision

If biometric challenges are tailored to individual user traits, then false positives are reduced, but the complexity of selecting and processing challenges increases

Engineering Contradiction:

Improveauthentication accuracyVSAvoidchallenge selection complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system changes parameters of the challenge based on user traits analysis. By dynamically adjusting challenge content parameters (phrase selection, language dialect, cultural references) according to user attributes like location and speech patterns, the system achieves higher measurement precision while managing complexity through parameter-based adaptation rather than structural complexity

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system automatically analyzes user traits and selects appropriate challenges without requiring manual configuration or complex external processing. The authentication system serves itself by using the user's own traits (speech patterns, location data) to generate personalized challenges, reducing operational complexity while improving accuracy

Inventive Principle:

Principle #25Self-service

3Object-affected harmful factors

If generic challenges are used for all users, then the authentication process is easier to operate, but fraudulent users can more easily mimic legitimate users

Engineering Contradiction:

Improvefraud detection capabilityVSAvoidauthentication process simplicity

Core Design Contradiction:

Object-affected harmful factorsVSEase of operation

Solution Approach 1:

The system performs preliminary analysis of user traits (speech patterns, location, device characteristics) during the authentication process before selecting the challenge. This allows the system to customize challenges based on pre-analyzed user profiles, improving reliability without requiring complex pre-processing infrastructure

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The authentication system transitions from uniform generic challenges to localized personalized challenges tailored to each user's specific traits. By adapting challenge content to local user characteristics (e.g., Boston accent patterns, Tel Aviv location), the system improves authentication reliability while maintaining manageable complexity through targeted customization

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS8752144B1Targeted biometric challenges

Publication Date: 2014.06.10 EMC IP HLDG CO LLC

AI summary

An improved technique tailors a biometric challenge activity to a particular user. The particular user submits electronic input from which an authentication system extracts information concerning traits of the particular user; such traits can include keystroke and swiping patterns, handheld device positions, and place of origin. An authentication server maps values of user attributes such as place of origin, age, and UI device to the extracted traits. The authentication server then selects biometric challenges for the particular user based on user attributes having values which deviate most from a mean value of that attribute taken across a population of users. That is, the authentication server bases biometric challenges on the most distinguishing traits of the particular user.