Security Questionnaire for Device Authentication Based on Telemetry Scores
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Solution Overview
Problem
Existing systems for device authentication in distributed environments require significant computing resources and user intervention to re-establish a root of trust, making the process computationally expensive and time-consuming.
Innovation Solution
The system uses shared knowledge from historical telemetry data to generate a security questionnaire, allowing for the re-authentication of data processing systems without user intervention by identifying candidate data points with high security scores and storing them in an activity log.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional device authentication methods are used to re-establish root of trust, then security validation is achieved, but computing resource expenditure and time consumption increase significantly
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing telemetry data before authentication is needed, establishing a baseline of normal system behavior. This pre-computed knowledge is stored and readily available when authentication events occur, eliminating the need for resource-intensive real-time analysis during the actual authentication process.
Solution Approach 2:
The system creates simplified copies of authentication evidence through security questionnaires that represent the essential validation requirements. Instead of performing complete traditional authentication protocols, the system uses these copied verification mechanisms that capture the critical security checks while consuming fewer computing resources.
2Measurement precision
If complete telemetry data is collected and analyzed for security validation, then authentication accuracy improves, but computing resource consumption increases
Solution Approach 1:
The system extracts only the most relevant and discriminating features from the complete telemetry data set. By identifying and isolating the key behavioral indicators that most effectively distinguish authorized from unauthorized systems, the system achieves high authentication accuracy while processing a manageable subset of data rather than the entire telemetry data set.
Solution Approach 2:
The system applies different levels of analysis to different portions of telemetry data based on their relevance and reliability. Critical security-related metrics receive more thorough analysis while less important data points undergo lighter processing, optimizing the balance between authentication accuracy and resource consumption through differentiated processing quality.
Data Source
AI summary
Methods and systems for authenticating data processing systems throughout a distributed environment without user intervention are disclosed. To authenticate data processing systems without user intervention, a system may include a network core and one or more data processing systems. The network core may attempt to authenticate data processing systems using a security questionnaire. Security questions in the security questionnaire may be based on telemetry data obtained from the data processing system prior to a loss of a root of trust. To conserve computing resources, only telemetry data with a security score that exceeds a security score threshold may be retained. The network core may provide the data processing system with a security questionnaire and the data processing system may use similar telemetry data to respond to the security questionnaire. If the answers to the security questions are considered accurate, the data processing system may be re-authenticated.