Distributed System Trust Model for Compromised Device Isolation
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Solution Overview
Problem
Distributed systems face challenges in managing trust between devices, particularly in identifying and isolating compromised or malfunctioning devices, especially in environments with minimal physical security.
Innovation Solution
A trust model is implemented that quantifies trust levels between devices based on behavioral consistency and similarity in characteristics, allowing for direct and indirect trust ratings to determine the trustworthiness of devices and manage requests within the distributed system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security measures are used in distributed systems, then physical security is provided, but compromised devices cannot be automatically identified and isolated
Solution Approach 1:
The patent transforms the abstract concept of trust into quantifiable parameters including direct trust ratings, indirect trust ratings, and behavioral consistency ratings. These parameters are continuously measured and updated based on device interactions and observed behaviors, enabling automated trust assessment without complex manual security management
Solution Approach 2:
The system implements continuous feedback loops where device behaviors are monitored, trust ratings are updated based on observed consistency, and compromised devices are automatically isolated when trust thresholds are violated. This feedback mechanism enables dynamic adaptation to security threats without increasing operational complexity
2Reliability
If manual identification of compromised devices is implemented, then security can be maintained, but system productivity decreases due to manual intervention
Solution Approach 1:
The system enables devices to self-assess their trustworthiness and self-isolate when compromised based on automated trust rating calculations. Devices continuously report their behaviors and receive automated trust assessments, eliminating the need for manual security interventions while maintaining system reliability
Solution Approach 2:
The system performs preliminary trust assessments continuously in the background before security incidents occur. By pre-calculating direct and indirect trust ratings and monitoring behavioral consistency proactively, the system is prepared to automatically isolate compromised devices without interrupting normal operations
3Reliability
If trust ratings are calculated for all devices, then compromised devices can be isolated, but computational resources are consumed
Solution Approach 1:
The system calculates trust ratings locally at each device rather than centrally for all devices. Each device computes its own direct trust rating based on local behavioral observations and receives indirect trust ratings from neighboring devices, distributing computational load and reducing overall resource consumption while maintaining comprehensive trust assessment
Data Source
AI summary
Methods and systems for managing trust in distributed are disclosed. To manage trust, a behavior and characteristic based trust model may be used. The trust model may utilize similarity between devices and public activity of devices over time to ascertain levels of trust that should be afforded devices of the distributed system. The levels of trust may be used to ascertain whether requests from devices of the distributed systems should be honored, or rejected. The trust models may facilitate establishment of trust in environments where physical intrusion based threats are present.