Anonymized Human Liveness Detection with Behavioral Trust Scores
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Solution Overview
Problem
Existing information handling systems face challenges in verifying user uniqueness and liveness efficiently, leading to instances of fraud and the need for cumbersome identity document verification, which poses risks in handling and storing private information.
Innovation Solution
A method and system that confirm user uniqueness and quality through a public user behavioral score, calculated via positive and negative anonymous behavior tracking across multiple platforms, associating an immutable digital user identifier with a behavioral score to grant access privileges based on legitimacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional identity documents are required for user verification, then user uniqueness and liveness can be confirmed, but the system becomes cumbersome and creates security risks around handling and storing private information
Solution Approach 1:
The patent extracts the essential verification function from physical identity documents and replaces it with a digital behavioral score system. Instead of requiring users to submit and store physical documents, the system extracts behavioral patterns from anonymous activity across platforms to generate a trust score, thereby confirming user uniqueness without the complexity and security risks of document handling
Solution Approach 2:
The patent introduces a behavioral score as an intermediary between user identity verification and platform access. Rather than directly verifying identity documents, the system uses anonymized behavioral data from multiple platforms as a mediator to assess user legitimacy, reducing both verification complexity and security risks while maintaining reliability
2Reliability
If identity documents are collected and stored for verification, then fraud can be reduced, but security risks increase due to handling and storing private information
Solution Approach 1:
The patent removes sensitive personal information from the verification process entirely. Instead of collecting and storing identity documents, the system extracts anonymized behavioral patterns from user activity across platforms to generate fraud-resistant trust scores, thereby preventing fraud without creating security vulnerabilities from data storage
Solution Approach 2:
The patent uses transient, disposable behavioral data rather than permanent stored identity information. Behavioral scores are generated from temporary activity patterns and can be updated or revoked without the long-term security risks associated with storing sensitive personal documents, reducing fraud prevention costs while eliminating data security vulnerabilities
3Reliability
If anonymous behavior tracking is implemented across multiple platforms, then user legitimacy can be assessed without storing private information, but system complexity increases
Solution Approach 1:
The patent creates a universal behavioral scoring system that functions across multiple platforms and ecosystems. The same anonymized tracking and scoring mechanism works universally for different applications and services, reducing the need for platform-specific verification systems and thereby managing complexity while maintaining high legitimacy assessment accuracy
Solution Approach 2:
The patent segments the verification system into independent modular components: anonymous tracking modules on individual platforms, a centralized scoring algorithm, and access control interfaces. This segmentation allows each component to be developed and maintained independently, reducing overall system complexity while enabling reliable multi-platform user legitimacy assessment
Data Source
AI summary
An information handling system may receive, from a first sensor of the information handling system, first sensor data. The information handling system may receive, from a second sensor of the information handling system, second sensor data. Based, at least in part, on the first sensor data and the second sensor data, the information handling system may generate a plurality of security profiles for the information handling system. Based, at least in part, on the first sensor data and the second sensor data, the information handling system may apply a security profile of the plurality of security profiles to the information handling system.