Contextual Confidence Scoring for Adaptive Authentication
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Solution Overview
Problem
Existing authentication systems face challenges in balancing security and convenience, as they often require either low security with high usability or high security with poor usability, and struggle to dynamically adjust based on contextual factors like location and network connection.
Innovation Solution
The implementation of contextual confidence scoring-based access control, which evaluates authentication techniques using context scores that consider the location, network connection, and historical usage of the client device, dynamically adjusting the security level by enhancing authentication methods, identifying anomalies, and removing or reducing trust based on context scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication systems use high security measures (multiple authentication steps), then security level is improved, but usability deteriorates
Solution Approach 1:
The system dynamically adjusts the authentication process by evaluating context scores in real-time and adapting the number of authentication steps required. When context scores indicate low risk, the system reduces authentication steps; when scores indicate high risk, it increases steps, making the security system flexible rather than static
Solution Approach 2:
The system changes the parameter of authentication step count based on context scores. By calculating context scores from multiple factors (device trust, network trust, location, behavior patterns) and comparing against thresholds, the system adjusts security parameters dynamically to balance security and usability
2Ease of operation
If traditional authentication systems use low security measures (fewer authentication steps), then usability is improved, but security level deteriorates
Solution Approach 1:
The system continuously monitors contextual factors (device behavior, network conditions, location data, authentication patterns) and uses this feedback to adjust security measures. The context score calculation incorporates real-time feedback loops that assess risk and automatically adjust authentication requirements accordingly
Solution Approach 2:
The context score acts as an intermediary mechanism between the authentication request and the security decision. Rather than directly determining security based on fixed rules, the system uses context scores as a mediating factor that translates multiple contextual parameters into a single security assessment that guides authentication step selection
3Reliability
If authentication systems require multiple authentication steps, then security is improved, but authentication time increases
Solution Approach 1:
The system dynamically determines the number of authentication steps based on real-time context score evaluation. When context scores indicate low risk environments or trusted devices, the system reduces authentication steps to minimize time loss; when scores indicate high risk, it increases steps to maintain security
Solution Approach 2:
The system changes the authentication time parameter by adjusting the number of required authentication steps based on context scores. By modifying security parameters dynamically rather than using fixed thresholds, the system optimizes the balance between security and time efficiency
4Adaptability or versatility
If authentication systems dynamically adjust based on context, then adaptability is improved, but system complexity increases
Solution Approach 1:
The system segments the complex authentication decision-making process into distinct modular components: context data collection modules, context score calculation modules for different factors (device trust, network trust, location, behavior), threshold comparison modules, and authentication step selection modules. This segmentation makes the complex system more manageable and maintainable
Solution Approach 2:
The context score calculation framework serves multiple functions simultaneously: it assesses device trust, network trust, location validity, and behavioral patterns through a unified scoring mechanism. This multi-functional approach reduces overall system complexity by using a single versatile evaluation framework rather than separate systems for each contextual factor
Data Source
AI summary
Described embodiments provide systems and methods for contextual confidence scoring-based access control. The systems and methods can include one or more processors configured to receive a request from the client device to access an item of content. The one or more processors can select a first subset of authentication techniques. The authentication techniques identifiable with a score. The one or more processors can determine that a sum of the scores of the selected first subset of the authentication techniques exceeds a threshold. The one or more processors can transmit, to the client device, one or more authentication requests utilizing the selected first subset of authentication techniques. The one or more processors can provide, responsive to successful authentication by the client device, access to the item of content to the client device.