Redundant Sensor Control for Unmanned Vehicle Security
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Unmanned vehicles are vulnerable to software attacks and lack effective security measures for ensuring compliance with regulatory schemes, as traditional wireless security methods rely solely on software and do not provide robust monitoring and control.
Innovation Solution
A redundant sensor and control system is introduced, which is physically attached to the unmanned vehicle and operates independently, monitoring environmental data and enabling secure authorized wireless communication. This system can initiate autopilot control or activate a kill switch if operating conditions are violated, ensuring the vehicle operates within approved parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional wireless security methods relying solely on software are used, then the system is simpler and easier to implement, but the unmanned vehicle becomes vulnerable to software attacks and hacker intrusion
Solution Approach 1:
The control system is divided into two independent segments: the primary software-based control system and the redundant hardware-based sensor and control system. This segmentation allows each system to operate independently, so that if the software system is compromised, the hardware system can take over to maintain security and control the unmanned vehicle.
Solution Approach 2:
The redundant hardware sensor and control system is prepared in advance as a backup mechanism. Before any security incident occurs, the system is configured to monitor environmental data and control parameters, ready to activate and take control if the primary software system is attacked or compromised, thus cushioning against potential security failures.
2Reliability
If a redundant sensor and control system is added to monitor environmental data and enforce operating conditions, then security and compliance are improved, but the device complexity increases
Solution Approach 1:
The redundant hardware sensor and control system serves multiple functions simultaneously: it monitors environmental data (temperature, humidity, pressure), tracks control parameters (speed, altitude, position), enforces operating conditions, and provides backup control capability. This multi-functionality reduces the need for separate dedicated systems for each function.
Solution Approach 2:
The redundant control system is designed to autonomously monitor environmental data and control parameters, compare them against predefined operating conditions, and automatically take control or activate safety mechanisms without requiring constant external supervision. The system serves itself by independently detecting violations and executing corrective actions.
3Measurement precision
If the redundant control system continuously monitors environmental data and control parameters, then detection precision of violations is improved, but the energy consumption increases
Solution Approach 1:
Instead of continuous monitoring at maximum precision, the system employs periodic sampling of environmental data and control parameters at strategically determined intervals. The monitoring frequency and precision are dynamically adjusted based on the current operational state and risk level, reducing unnecessary energy consumption while maintaining adequate detection capability.
Solution Approach 2:
The system applies full monitoring precision only when violations are detected or suspected, using lower precision monitoring during normal operation. This partial application of maximum monitoring intensity balances detection precision requirements with energy conservation, activating full scrutiny only when necessary.
Data Source
AI summary
Systems and methods for unmanned vehicle security and monitoring are provided herein. In exemplary embodiments, a redundant sensor and control system is used for monitoring and controlling the unmanned vehicle. The redundant sensor and control system is operable to override the control station and take over control of the unmanned vehicle when at least one operational condition of the unmanned vehicle exceeds an approved parameter.