Edge Computing Security Enforcement via UAV Deployment
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Solution Overview
Problem
In edge computing systems, ensuring that multiple edge devices with varying security capabilities collaborate effectively while maintaining a predetermined level of security is challenging, especially when they need to be deployed closer to client devices to minimize latency.
Innovation Solution
A method that involves identifying suitable edge computing devices, determining and installing required security software and configurations, and deploying them using unmanned aerial vehicles (UAVs) or unmanned transport vehicles (UTVs) to ensure the necessary security level is met, allowing for efficient edge computation near the client device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If edge devices are deployed closer to client devices to minimize latency, then response time is improved, but security enforcement becomes more challenging due to varying security capabilities of distributed devices
Solution Approach 1:
The system performs preliminary security assessment and software installation on edge devices before they are deployed to perform computational workloads. The deployment system identifies required security software and configurations, installs them on selected edge devices, and verifies security compliance prior to deployment, ensuring security requirements are met before the devices begin operating near client devices.
2Reliability
If security software and configurations are enforced on all edge devices, then security level is improved, but device complexity and deployment time increase
Solution Approach 1:
The system applies different security software and configuration levels to different edge devices based on their specific security capabilities, hardware characteristics, and the security requirements of the computational workloads they will perform. Rather than uniformly enforcing the same security measures on all devices, the system tailors security enforcement to each device's local characteristics and needs.
Solution Approach 2:
The system dynamically adjusts security parameters such as software selection, configuration settings, and enforcement strictness based on the edge device's capabilities, the sensitivity of the computational workload, and the deployment context. This allows the system to optimize security enforcement by changing parameters rather than applying fixed security measures to all devices.
Data Source
AI summary
Computer technology that each edge computing device has appropriate security software, and associated configuration thereof, to be included in edge computing system deployment having a predetermined security level. The types of security software may include encryption/decryption software, encryption/decryption key handling software and/or security load sharing software. The edge computing devices may include unmanned aerial vehicles and/or other unmanned transport vehicles (for example, wheeled ground vehicles) to transport the respective edge computing devices into physical proximity with the client device that will be using the edge computing system deployment.