Authentication Dataset Generation from Network Activity
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Solution Overview
Problem
The generation of authenticating information for accessing resources is inherently insecure, making it challenging to ensure secure access.
Innovation Solution
A method implemented by a first computing system that accesses a secured data source to generate a dataset of user data elements, extracts information from unsecured internet data sources to generate another dataset, and combines these datasets to generate a third set of user data elements. This method provides a secured web portal where user credentials are verified against the third dataset, and alternative credentials are registered if the initial credentials are rejected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods are used, then ease of operation is maintained, but security reliability deteriorates
Solution Approach 1:
The system performs preliminary actions by proactively collecting and storing authentication data from multiple sources (secured data sources, unsecured internet data sources) before authentication is needed. This creates a pre-established dataset of legitimate user credentials that can be quickly verified during authentication, eliminating the need for complex real-time verification procedures while maintaining high security standards.
Solution Approach 2:
The system introduces an intermediary authentication dataset that mediates between the user's credential and the authentication decision. Instead of directly comparing credentials against multiple external sources during login, the system uses a pre-generated dataset as an intermediary layer, simplifying the authentication process while maintaining comprehensive security checks.
2Reliability
If multiple data sources are combined for verification, then authentication security is improved, but device complexity increases
Solution Approach 1:
The system merges multiple data sources (secured data sources, unsecured internet data sources) into a single integrated authentication dataset. This consolidation allows the system to leverage diverse data sources for enhanced verification accuracy while presenting a unified, manageable structure that reduces operational complexity during authentication.
Solution Approach 2:
The system performs the complex task of integrating multiple data sources in advance, creating a ready-to-use authentication dataset before actual authentication occurs. This preliminary integration work eliminates the need for complex real-time data gathering and processing during login, reducing device complexity while maintaining verification accuracy.
3Reliability
If comprehensive data collection is performed, then authentication reliability is improved, but loss of time increases
Solution Approach 1:
The system performs comprehensive data collection from multiple secured and unsecured sources in advance, creating a pre-populated authentication dataset. This eliminates the need for time-consuming data gathering during actual authentication events, as the verification process simply queries the pre-collected dataset, thereby maintaining high authentication assurance while minimizing time loss.
Solution Approach 2:
The system prepares authentication data in advance as a cushioning measure, ensuring that comprehensive verification can be performed quickly when needed. By having the data ready beforehand, the system cushions against the potential time loss that would otherwise occur during authentication, allowing rapid verification without compromising thoroughness.
Data Source
AI summary
Disclosed are example methods, systems, and devices that allow for secure generation of authentication datasets from network activity. The techniques include accessing secured data sources to generate a first dataset of secured data, and extracting information from one or more unsecured data sources to generate a second dataset comprising a second dataset. A third set of data elements can be generated from the first and second datasets, and may be utilized to authenticate credentials that can be utilized to access secured data via a network. The techniques can transmit indications that credentials are invalid if the credentials fail to satisfy aspects of the third dataset.


