Unmanned aerial vehicle with immunity to hijacking, jamming, and spoofing attacks
AssigneeDrobotics, LLC
InventorEyal Stein
Life of this patent
Estimating the term…
Abstract
An unmanned aerial vehicle (UAV) or “drone” executes a neural network to assist with detecting and responding to attacks. The neural network may monitor, in real time, the data stream from a plurality of onboard sensors during navigation and may communicate with a high-altitude pseudosatellite (“HAPS”) platform For example, if the neural network detects a cyber-attack but determines that it does not interfere with external communications, it may shift navigation control of the drone to the HAPS.
Claims26
An unmanned aerial vehicle (UAV) comprising:
- a flight package;
- a UAV navigation system;
- a UAV image-acquisition device;
- a UAV communications array including a plurality of agile transceivers;
- a computer memory including a plurality of pre-stored waypoints and flight images of a pre programmed flight path;
- and
- a drone inspection neural network including compute engines,
- the compute engines including a processor and instructions, stored in the computer memory and executable by the processor, for using real time data received from one or more of the UAV image-acquisition device, the UAV communications array, or the UAV navigation system as input to the drone inspection neural network for:
- identifying and classifying (a) that an attack on the UAV is occurring, (b) the characteristics and type of attack, and (c) if the attack is new and uncharacterized,
- where the compute engines are configured to:
- send attack data to a HAPS or cloud based neural compute engine if the attack is classified as uncharacterized,
- request updated weight and configuration files, identifying the characteristics and type of attack;
- and
- receive updated classifications for the type of attack, and mitigation instructions in real time.
A method for a UAV including a flight package, a UAV navigation system, a UAV image-acquisition device, a UAV communications array including a plurality of agile transceivers, a computer memory including a plurality of pre-stored waypoints and flight images of a pre programmed flight path, a drone inspection neural network including compute engines, the compute engines including a processor and instructions, stored in the computer memory and executable by the processor, the method comprising:
- using, by the compute engines, real time data received from one or more of the UAV image-acquisition device, the UAV communications array or the UAV navigation system as input to the drone inspection neural network for;
- identifying and classifying, (a) that an attack on the UAV is occurring, (b) characteristics and type of attack, and (c) if the attack is new and uncharacterized
- sending, using the compute engines, attack data to a HAPS or cloud based neural compute engine if the attack is classified as uncharacterized,
- requesting, using the compute engines, updated weight and configuration files identifying the characteristics and type of attack, and
- receiving, using the compute engines, updated classifications for the type of attack, and mitigation instructions in real time.
Dependencies are inferred from the claim text.