Quantified Identity Authentication via Probabilistic Scoring
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Solution Overview
Problem
Current identity and authentication methods rely on physical entities or knowledge-based systems, which can be insecure and inconvenient, especially when users need to be near authorized devices or remember passwords, and do not effectively leverage the proliferation of personal devices for secure and convenient authentication.
Innovation Solution
A Quantified Identity system that uses a multi-dimensional probabilistic profile based on a user's identity elements and additional data sources to provide secure authentication, allowing devices to communicate and verify user identity through a Quantified Identity Provider (QIP), which calculates a probabilistic identity score based on time, location, and proximity, reducing the need for explicit user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (physical entities or knowledge-based systems) are used, then users can access services, but security is compromised and user convenience is reduced due to the need to be near authorized devices or remember passwords
Solution Approach 1:
The patent transitions from traditional single-factor authentication to multi-dimensional probabilistic authentication by incorporating multiple identity elements (devices, locations, timestamps, behaviors) that collectively form a probabilistic identity profile. This dimensional expansion enables more secure authentication without requiring users to consciously participate in each verification step.
Solution Approach 2:
The system automatically collects and processes identity elements from various sources (devices, locations, timestamps) without requiring explicit user input. The probabilistic identity profile is generated and verified automatically, allowing the authentication system to serve itself by leveraging existing user-generated data and device communications.
2Measurement precision
If multiple identity elements and data sources are integrated for probabilistic identity verification, then authentication precision is improved, but system complexity increases
Solution Approach 1:
The Quantified Identity Provider (QIP) serves as a universal platform that handles multiple identity elements, data sources, and verification scenarios through a single probabilistic identity profile system. This multi-functional approach consolidates complexity into a centralized service rather than requiring separate verification systems for each authentication scenario.
Solution Approach 2:
The system dynamically adjusts the weight and importance of different identity elements based on their reliability and relevance to the specific authentication context. By changing parameters such as element weights, thresholds, and data source priorities, the system optimizes verification precision without requiring structural complexity changes.
3Ease of operation
If explicit user input and verification steps are reduced for seamless access, then user convenience is improved, but authentication reliability may be compromised
Solution Approach 1:
The system performs preliminary authentication actions by continuously collecting and analyzing identity elements in the background before actual service access is needed. This preliminary verification establishes a baseline probabilistic identity profile that enables seamless access without requiring explicit user verification steps at the point of use.
Data Source
AI summary
Determination of a quantified identity using a multi-dimensional, probabilistic identity profiles is contemplated. The quantified identity may be used to authenticate a user entity provided to a point-of-sale device or other interface associated with identity requester in order to verify the corresponding users as who they say they are. The user identity may be determined initially as a function of user inputs made to the identity requester and/or as a function of wireless signaling exchange with devices associated with the user.