Adaptive Authentication System with Dynamic Risk Scoring
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Solution Overview
Problem
Current authentication systems are inefficient and vulnerable due to user burden, human errors, and lack of adaptability to changing IT security requirements, often relying on insecure methods like passwords and biometrics that can be compromised.
Innovation Solution
A self-adaptive secure authentication system that learns user behavior and combines multi-level, multi-factor authentication by assigning a score index to users based on their authentication requests, continuously updating this index and requesting additional biometric identifiers when a predefined threshold is reached, ensuring enhanced security and adaptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-factor authentication is implemented to enhance security, then security level is improved, but user burden and complexity increase
Solution Approach 1:
The authentication system dynamically adjusts the number and type of authentication factors required based on real-time risk assessment. The system monitors user behavior patterns, device trust levels, and environmental factors to continuously adapt authentication requirements, transitioning between low-friction (single factor) and high-security (multi-factor) modes as needed.
Solution Approach 2:
The system changes authentication parameters such as the number of factors required, specificity of biometric data, and verification strictness based on calculated risk scores. When risk is low, the system accepts fewer authentication factors; when risk increases, it automatically raises authentication requirements without user intervention.
2Reliability
If advanced biometric authentication methods are used to improve security, then authentication strength is improved, but system complexity and cost increase
Solution Approach 1:
The authentication system segments different authentication methods into distinct modules (biometric authentication module, token-based authentication module, behavioral authentication module). Each module handles specific authentication factors independently, allowing the system to select and combine appropriate modules based on risk assessment without requiring all complex components to be active simultaneously.
Solution Approach 2:
The system implements a universal authentication framework that can accommodate multiple authentication methods through a common risk assessment and coordination mechanism. The same core system architecture handles diverse authentication types (fingerprint, facial recognition, behavioral patterns, device tokens) using unified processing logic, reducing overall system complexity despite supporting multiple sophisticated methods.
3Ease of operation
If static authentication requirements are used to simplify the system, then ease of operation is improved, but adaptability to changing security requirements deteriorates
Solution Approach 1:
The system continuously monitors authentication outcomes, user behavior patterns, security incidents, and environmental factors, using this feedback to dynamically update risk models and authentication requirements. This closed-loop feedback mechanism enables the system to adapt to changing security threats and user patterns while maintaining operational simplicity through automated adjustments.
Solution Approach 2:
The authentication system performs self-adjustment through automated risk assessment and adaptive policy application without requiring manual reconfiguration. The system serves itself by learning from authentication outcomes and automatically modifying future authentication requirements, eliminating the need for static administrator-configured rules while maintaining system simplicity.
Data Source
AI summary
A method, a system, and a non-transitory computer readable program code are disclosed for authenticating users for services. The method includes registering one or more users in an authentication system; assigning a score index to each of the one or more users in the authentication system for one or more services, the score index representing a security level and corresponding authentication required to access each of the one or more services; inputting each request for services from the one or more users into the authentication system to continuously update the score index for each of the one or more users, each of the requests including one or more authenticators or biometric identifiers for the requested service; and requesting the one or more users to register one or more additional authenticators or biometric identifiers with the authentication system upon the score index for a user reaching of a predefined threshold value.