Policy-Based Control for Autonomous Devices
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Solution Overview
Problem
Existing computing devices, particularly robotics and unmanned vehicles, face challenges in maintaining adaptive and dynamic security policies due to constantly changing environments, requiring a mechanism for autonomous and adaptive policy management.
Innovation Solution
A policy-based access control system that updates security policies based on context, allowing granular control through local or remote modifications using policy decision points and enforcement points, enabling dynamic adaptation to changing conditions and threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static security policies are used in computing devices, then system simplicity is maintained, but adaptability to changing environments and threats deteriorates
Solution Approach 1:
The patent implements dynamic security policies that automatically adapt to changing environmental conditions and threats. The system transitions from static policies to dynamic policies that are continuously updated based on contextual information from sensors and environmental monitoring, resolving the contradiction between adaptability and complexity by making the system flexible rather than rigid
Solution Approach 2:
The computing device autonomously manages its own security policies through self-service mechanisms. The device can automatically detect environmental changes, evaluate threats, and update its own security policies without requiring constant external intervention, thereby improving adaptability while managing complexity through autonomous operation
2Extent of automation
If autonomous operation is enabled in robotics and UxVs, then operational independence is improved, but security control and monitoring deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where environmental sensors continuously monitor conditions and feed this information back to the policy management system. This feedback loop enables the system to maintain reliable security control even during autonomous operation by continuously adapting policies based on real-time environmental data and threat assessments
Solution Approach 2:
The system performs preliminary security assessments and policy adjustments before autonomous actions are executed. By evaluating potential threats and updating security policies in advance, the system ensures that autonomous operations maintain reliable security control while preserving operational independence
3Measurement precision
If granular policy control is implemented, then security precision is improved, but system complexity and management difficulty worsens
Solution Approach 1:
The patent segments security policies into modular, granular components that can be independently managed and applied to specific devices, components, or environmental conditions. This segmentation enables precise policy control while reducing management complexity by organizing policies into manageable, reusable units that can be selectively applied
Data Source
AI summary
An autonomous and adaptive method and system for secure, policy-based control of remote and locally controlled computing devices. The invention uses a policy-based access control mechanism to achieve adaptive and dynamic behavior modification based on the context of the local operating environment of the computing device. The modification system assesses the desirability of actions or outcomes as determined by the policy rules and modifies them accordingly, thus altering the behavior of the computing device. The system can utilize a machine learning technique, pattern matching and heuristic evaluation. When applied to the control of robotic and autonomous devices, the system allows the robot to offload adjudication to a remote system and also facilitates cooperative behaviors between robots operating in dynamic environments.