Dynamic Authentication Level Updates via User Action Monitoring
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Solution Overview
Problem
Existing systems lack effective mechanisms for securely verifying and validating users and content through ongoing multifactor authentication, leading to potential unauthorized access and tampering.
Innovation Solution
A system that employs ongoing multifactor authentication, continuously monitors user actions to update authentication levels, and integrates security signatures with content to ensure authentication and integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods are used, then user access is granted quickly, but security is compromised allowing unauthorized access and content tampering
Solution Approach 1:
The authentication system transitions from static to dynamic by continuously monitoring user actions and automatically updating authentication levels in real-time. The system adapts authentication requirements based on current user behavior, device state, and content sensitivity, rather than relying on fixed authentication levels established at login.
Solution Approach 2:
The system implements continuous authentication by constantly monitoring user actions, device characteristics, and content access patterns. Instead of performing authentication as a discrete event at login, the system maintains ongoing authentication validation throughout the user session, ensuring continuous security verification.
2Reliability
If multifactor authentication is implemented, then authentication reliability improves, but system complexity and user burden increase
Solution Approach 1:
The system automatically collects authentication data from multiple sources including user actions, device characteristics, and content metadata without requiring manual user input. The authentication level is calculated and updated automatically based on monitored parameters, eliminating the need for users to manually provide multiple authentication factors.
Solution Approach 2:
The system continuously monitors user actions and system state, then feeds this information back to automatically adjust authentication levels. This closed-loop feedback mechanism allows the system to respond dynamically to changing conditions, maintaining high security while requiring minimal user interaction beyond normal system usage.
3Measurement precision
If continuous monitoring of user actions is performed, then authentication accuracy improves, but processing time and system resources increase
Solution Approach 1:
The system monitors user actions continuously but only processes authentication updates when significant changes occur or at predetermined intervals. Instead of recalculating authentication levels after every single user action, the system uses selective processing of monitored data, maintaining accuracy while reducing unnecessary computational overhead.
Data Source
AI summary
A system for ongoing multifactor authentication is provided. The system includes a computer device including at least one processor in communication with at least one memory device. The at least one memory device includes computer instructions that cause the at least one processor to a) instruct a computer device to conduct a multifactor authentication of a user; calculate an authentication level for the user based upon the multifactor authentication of the user; b) continually monitor one or more actions of the user to determine additional authentication data; c) update the authentication level for the user based upon the additional authentication data; d) receive a request from the user to access a first content; e) access an authentication profile for the first content; f) compare the authentication profile to the updated authentication level for the user; and g) determine whether to grant access to the first content based upon the comparison.