GPS Spoofing Hijack Strategy for Stable Anti-Drone Redirection
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Solution Overview
Problem
Current anti-drone technologies are inadequate for safely and quickly neutralizing drones carrying dangerous materials or explosives, as they often lack accuracy and stability in hijacking, and are not versatile enough to handle various drone types and flight modes, posing risks to surrounding structures and causing economic losses.
Innovation Solution
An anti-drone method that analyzes a drone's features through GPS spoofing signals to automatically generate a hijacking strategy, including identifying safety device mechanisms and path-following algorithms, allowing for precise and stable hijacking by injecting appropriate GPS spoofing signals, and disabling flight when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If jamming is used to disable drone flight, then the drone is neutralized, but the drone remains in flight and hovers until battery runs out, causing slow handling speed and leaving dangerous materials in the protection zone
Solution Approach 1:
The patent replaces physical/jamming-based neutralization methods with GPS spoofing signal injection. Instead of using radio frequency jamming that causes the drone to hover uncontrollably, the system injects spoofed GPS signals that trick the drone's navigation system into believing it has reached the protection zone boundary, causing the drone to autonomously return to its takeoff location. This substitution achieves both reliable neutralization and rapid handling.
2Ease of operation
If GPS spoofing signals are used for anti-drone, then the drone can be redirected, but conventional methods lack accuracy and stability in hijacking direction, causing sudden direction changes and collision risks
Solution Approach 1:
The patent performs preliminary analysis of the drone's features (model, flight mode, safety device mechanisms, path-following algorithms) before injecting GPS spoofing signals. By pre-characterizing the target drone and selecting appropriate spoofing strategies based on the analysis results, the system ensures accurate and stable hijacking direction without sudden changes or collision risks.
Solution Approach 2:
The system continuously monitors the drone's response to GPS spoofing signals and adjusts the spoofing strategy in real-time based on the drone's actual behavior. This feedback mechanism ensures that the hijacking direction remains accurate and stable, preventing sudden direction changes even when the drone encounters unexpected conditions.
3Adaptability or versatility
If conventional GPS spoofing methods are used, then the drone can be affected, but the method lacks versatility to handle various drone types and flight modes
Solution Approach 1:
The patent segments the anti-drone process into distinct phases: drone feature analysis, strategy selection, and GPS spoofing signal injection. By dividing the system into modular components that can independently analyze different drone characteristics and select appropriate strategies, the system achieves versatility across various drone types and flight modes while maintaining high hijacking success rates.
Solution Approach 2:
The system creates a universal anti-drone platform that can handle multiple drone types, flight modes, and safety device mechanisms through a single integrated solution. The feature analysis module identifies drone-specific characteristics, and the strategy selection module chooses the most effective GPS spoofing approach for each scenario, making the system adaptable to both existing and newly developed drones.
Data Source
AI summary
Disclosed are an anti-drone method using a GPS spoofing signal and a system thereof. According to an embodiment of the inventive concept, an anti-drone method may include injecting a GPS spoofing signal to analyze a drone feature of a target drone and hijacking the target drone by injecting a GPS spoofing signal into the target drone based on a drone hijacking strategy corresponding to the analyzed drone feature among predefined drone hijacking strategies. The analyzing of the drone feature may include injecting the GPS spoofing signal to analyze a safety device mechanism (GPS fail-safe) and a path-following algorithm of the target drone.