Behavioral Biometric Use-Print for Digital Scam Detection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current methods are ineffective in detecting and preventing digital scams where users are pressured into taking detrimental actions, as they rely on authentication technologies that cannot distinguish between genuine user actions and scam-induced behavior, and geographic-based measures are clunky and easily bypassed by scammers.

Innovation Solution

The use of behavioral biometrics to record and analyze user interactions, generating a unique 'use-print' that monitors deviations in behavior, applying machine learning algorithms to detect stress, and providing interventions to prevent fraudulent actions, such as pop-up warnings or blocking transactions, while refining the algorithm with user feedback.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If authentication technology is used to verify user identity, then authentication confidence levels are improved, but it becomes ineffective against scams where the legitimate user is pressured into taking detrimental actions

Engineering Contradiction:

Improveauthentication confidenceVSAvoidscam effectiveness

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system segments user verification into two independent components: identity authentication (verifying who the user is) and behavioral biometric monitoring (detecting abnormal behavior patterns). This segmentation allows the system to maintain high authentication confidence while simultaneously detecting scam-induced behavioral deviations, resolving the contradiction between reliable authentication and scam prevention.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces behavioral biometrics as an intermediary monitoring layer between the authenticated user and the system actions. This intermediary continuously analyzes behavioral patterns and can detect when a legitimately authenticated user is under duress, allowing the system to intervene and prevent scam completion without compromising the underlying authentication mechanism.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Object-affected harmful factors

If geographic-based restrictions are implemented to block remote access, then some scam prevention is achieved, but the measure is clunky, over-inclusive, and easily bypassed by scammers

Engineering Contradiction:

Improvescam preventionVSAvoidsystem flexibility

Core Design Contradiction:

Object-affected harmful factorsVSEase of operation

Solution Approach 1:

The system changes the detection parameter from geographic location (external, easily manipulated) to behavioral biometrics (internal, difficult to fake). By monitoring parameters such as typing cadence, mouse movement patterns, and device handling characteristics, the system achieves accurate scam detection without the clumsiness and bypass vulnerabilities of geographic restrictions.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system replaces the mechanical approach of blocking remote access connections with a sophisticated behavioral analysis system. Instead of preventing connections based on location, the system allows connections but monitors behavioral patterns in real-time, substituting a rigid mechanical filter with an adaptive intelligent detection mechanism that is both more flexible and more effective.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If behavioral biometrics are monitored in real-time, then scam detection accuracy is improved, but system complexity and processing requirements increase

Engineering Contradiction:

Improvescam detection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system applies partial monitoring by focusing on key behavioral biometric indicators most strongly correlated with scam scenarios, such as typing speed variations, mouse movement erraticism, and unusual device handling patterns. Rather than analyzing every possible behavioral parameter, the system selectively monitors the most discriminative features, achieving high detection accuracy while managing computational complexity.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system performs preliminary action by establishing baseline behavioral profiles for each user during normal, scam-free periods. These pre-established baselines are stored and used for rapid comparison during monitoring, eliminating the need for complex real-time analysis of absolute behavioral values. The system only needs to detect deviations from the baseline, significantly reducing processing requirements while maintaining high detection accuracy.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20240311831A1Systems and methods to use behavioral biometrics to detect and defend against a digital scam-in-progress

Publication Date: 2024.09.19 CAPITAL ONE SERVICES LLC

AI summary

Systems and methods for preventing fraud using behavioral biometrics may include a server with memory and a processor. The processor may be configured to create a behavioral biometric use-print for a user based on a plurality of observed and recorded user interactions and then monitor one or more behavioral biometrics of the user while the user accesses a user account. These monitored behavioral biometrics may be compared against the behavioral biometric use-print to determine if there are material deviations indicating that the user is under stress. When the server determines that the user is under stress, it may provide an intervention to help safeguard against potential in-process fraud.