Unmanned Vehicle Security Engine for Simulated Data Deception
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Solution Overview
Problem
Unauthorized users can pose as authorized users to access and control unmanned vehicles, compromising data security and operational integrity.
Innovation Solution
The unmanned vehicle detects unauthorized access attempts, simulates operations, and quarantines cyberattacks, while continuing authorized tasks, using a security engine to monitor and classify user behavior, and send simulated data to the unauthorized user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the unmanned vehicle transmits real operational data to remote computing systems, then authorized users can monitor and control the vehicle, but unauthorized users can also access and compromise the system
Solution Approach 1:
The patent introduces a security engine as an intermediary component that sits between the data transmission interface and the unauthorized user. This security engine intercepts, analyzes, and filters data packets, determining whether to allow transmission based on authentication credentials. The security engine acts as a mediator that protects the core vehicle systems while enabling legitimate communication, thus improving security without requiring complete system redesign.
2Reliability
If the unmanned vehicle implements strict access control measures, then data security is improved, but legitimate operational efficiency may be reduced due to additional verification steps
Solution Approach 1:
The security engine performs authentication and authorization checks in advance, before any actual data transmission occurs. By pre-verifying user credentials and access rights, the system establishes security permissions upfront, allowing subsequent data exchanges to proceed smoothly without repeated verification delays. This preliminary security validation ensures that legitimate operations face minimal friction while maintaining strong security controls.
3Measurement precision
If the system monitors and analyzes user behavior in detail, then unauthorized access detection is improved, but processing overhead and system resource consumption increase
Solution Approach 1:
The security engine implements differentiated monitoring strategies based on user identity and behavior patterns. Rather than applying uniform high-level analysis to all users, the system applies enhanced scrutiny selectively to suspicious activities, unrecognized users, or high-risk operations. For authenticated users with established patterns, the system reduces monitoring intensity, thereby lowering processing overhead while maintaining detection capability for actual threats.
Data Source
AI summary
An unmanned vehicle includes at least one navigation sensor configured to measure navigation data indicative of an environment, at least one status sensor configured to measure status data indicative of operating parameters of a hardware system and a computing system. The computing system includes a navigation engine configured to receive the navigation data and status data and plan a path through the environment and a security engine. The security engine is configured to detect that an unauthorized user is attempting to access the navigation data or the status data, send an alert to an authorized user indicating that the unauthorized user is attempting to access navigation data or status data, and send, to the unauthorized user, simulated data including one or both of simulated navigation data and simulated status data.