Universal Identity Authentication Process for Cybersecurity
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Solution Overview
Problem
Current cybersecurity measures are inadequate in accurately authenticating or denying access to cyber resources based on the claimed identity of individuals, leading to security failures in cyberspace.
Innovation Solution
A scalable configurable universal full spectrum identity authentication process that utilizes a unique identity authentication dataset for a specific known person to make authentication determinations about any tested person, employing a computing device, sensor observations, and predetermined criteria to authenticate or deny access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing cybersecurity measures are used, then access control is provided, but authentication accuracy is insufficient
Solution Approach 1:
The authentication process is divided into multiple independent verification stages: biometric authentication, knowledge-based authentication, and possession-based authentication. Each stage operates independently and can be configured with different security levels, allowing the system to segment the authentication task to achieve higher overall accuracy without overwhelming the user.
Solution Approach 2:
The system implements a universal authentication framework that can handle multiple types of authentication methods (biometric, knowledge-based, possession-based) within a single integrated platform. This multi-functional approach allows the system to authenticate users through various means depending on the security requirements, thereby improving authentication accuracy while maintaining ease of use.
2Reliability
If multiple authentication methods are implemented, then authentication accuracy improves, but system complexity increases
Solution Approach 1:
The authentication system dynamically adapts its complexity based on the security risk level and user profile. For low-risk scenarios, the system uses simpler authentication methods, while high-risk scenarios trigger more comprehensive verification. This dynamic adjustment allows the system to maintain high authentication accuracy without consistently presenting maximum complexity.
Solution Approach 2:
The system implements partial authentication actions for routine access and excessive (comprehensive) authentication for critical operations. Users can perform simple authentication for everyday tasks, while complex multi-factor authentication is required only when necessary, such as for financial transactions or access to sensitive resources. This approach improves accuracy when needed without unnecessarily increasing complexity for routine operations.
3Reliability
If comprehensive sensor observations are collected, then authentication reliability improves, but data processing requirements increase
Solution Approach 1:
The system performs preliminary action by pre-processing and storing sensor observations in a structured format during the authentication setup phase. Biometric templates, behavioral patterns, and other sensor data are analyzed and optimized in advance, creating ready-to-compare reference data that reduces the computational burden during actual authentication operations.
Solution Approach 2:
The system extracts and focuses on the most discriminative features from the comprehensive sensor observations. Rather than processing all raw sensor data equally, the system identifies and extracts the key characteristics that are most useful for authentication (such as specific biometric features or behavioral patterns), thereby reducing data processing requirements while maintaining high authentication reliability.
Data Source
AI summary
A scalable configurable universal complete spectrum identity authentication process that utilizes all or part of at least one computer, and necessary resources for making identity authentication determinations as to whether or not one specific sensor-observed tested person is the same person as the one specific known person he or she claims to be. The identity authentication process makes one-time, intermittently performed, or constantly performed identity authentication determinations regarding any one specific tested person, and it is configurable for doing so at any attainable level of accuracy including 100% accuracy. The identity authentication process is configurable for interacting with itself or utilized cyber resources to perform possible variable functions, it utilizes data representing recognized aspects, characteristics or features for comparing or determining, and it utilizes observation data, derived data, useful information, or outcomes from comparing for making identity authentication determinations, and it may report on any of its operations.