Randomized Digital Identity Authentication for Adaptive Multi-Factor Access
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Solution Overview
Problem
Existing authentication methods, relying on predictable verification steps or single factors, are cumbersome, time-consuming, and vulnerable to hacking, failing to ensure secure access to facilities or computer systems.
Innovation Solution
Implementing multi-factor authentication using randomly selected digital identity factors, which involves collecting and randomly selecting multiple digital identity factors, comparing them with user-provided information, and granting access only when matches are confirmed, often with AI-assisted decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predictable verification steps are used for authentication, then the authentication process is simple to implement, but the system becomes vulnerable to hacking and security breaches
Solution Approach 1:
The authentication system dynamically selects which factors to verify based on risk assessment, user profile, and contextual information. Instead of always verifying all factors or a fixed subset, the system adapts the verification process in real-time, selecting from biometric data, device information, location data, and behavioral patterns to create a flexible security model that adjusts to threats
Solution Approach 2:
The system changes the parameters of authentication by moving from static, predictable verification steps to dynamic parameter selection. Multiple authentication factors are collected and stored with associated metadata, then randomly selected and verified based on current security requirements, transforming the authentication process from a fixed procedure to a adaptable parameter-driven system
2Reliability
If multiple authentication factors are always verified, then security is improved, but the authentication process becomes time-consuming and cumbersome
Solution Approach 1:
The system performs partial verification by selecting only the necessary number of authentication factors needed to achieve the required security level. Instead of always verifying all available factors, the system randomly selects a subset (e.g., 2-3 factors from a pool of 5-10) that provides sufficient security while reducing authentication time and user burden
Solution Approach 2:
The verification process is dynamic and adaptive, adjusting the number and type of factors verified based on real-time risk assessment. Low-risk scenarios may require fewer verification steps while high-risk scenarios automatically trigger more stringent multi-factor verification, optimizing the balance between security and convenience
3Productivity
If a single authentication factor is used, then the authentication process is fast and simple, but the device becomes vulnerable to hacking
Solution Approach 1:
The system implements multi-functionality by collecting and storing multiple types of authentication factors (biometric data, device information, location data, behavioral patterns) that can serve different security needs. This universal approach allows the same authentication system to handle both fast single-factor verification and secure multi-factor verification depending on the situation
Solution Approach 2:
The system dynamically determines the appropriate number of factors to verify based on contextual risk assessment. For low-risk operations, the system may verify only one or two factors to maintain speed, while automatically escalating to verify multiple factors when risk thresholds are exceeded, thus adapting authentication intensity to actual security needs
Data Source
AI summary
Techniques are described for providing multifactor authentication using randomly selected Digital Identity factors associated with a human user or individual seeking access to a facility, building, computer system, network, application, memory, etc. Digital Identity factors are or memory. Digital Identity factors are retrieved and stored by an authentication agent. The Digital Identity factors can be retrieved from a network such as the internet or can be previously provided by a customer or human individual requesting authorization. Upon receiving a request for authentication, a plurality of Digital Authentication factors are randomly selected. A request is sent to an environment associated with the human individual seeking access, the request including information regarding the randomly selected Digital Authentication factors. A reply is received having information regarding the randomly selected authentication factors. The information in the reply is compared with the randomly Digital Identity factors to determine whether to grant or deny access.