System and method for small unmanned aerial systems (sUAS) defense
AssigneeThe Johns Hopkins University
InventorLanier Watkins
Life of this patent
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Abstract
Provided is a method and a computer device for performing the method for defending a perimeter against a small unmanned aerial system (sUAS). The method includes detecting a presence of a wireless access point (WAP) associated with a sUAS; analyzing data packets intercepted from the WAP; determining the type of sUAS based on the data packets that were intercepted using a machine learning classifier; determining one or more exploits from a library of exploits to initiate against the sUAS based on the type of sUAS determined by the machine learning classifier; and transmitting the one or more exploits to the sUAS.
Claims19
A computer-implemented method for taking control of a small unmanned aerial system (sUAS), the method comprising:
- detecting a presence of a wireless access point (WAP) associated with a sUAS;
- capturing and logging metadata to document a time and a date at which a whitelisted access point is detected;
- analyzing, by a hardware processor, data packets intercepted from the WAP;
- determining, by the hardware processor, that the sUAS is of an unknown type based on one or more open systems interconnection (OSI) Layer 2 characteristics of the data packets that were intercepted using a machine learning classifier;
- determining, by the hardware processor, one or more exploits from a library of exploits to initiate against the sUAS based on the machine learning classifier;
- and
- transmitting the one or more exploits to the sUAS.
A computer device comprising:
- a hardware processor;
- a computer-readable medium configured to store instructions that when executed by the hardware processor cause the hardware processor to perform a method for taking control of a small unmanned aerial system (sUAS), the method comprising:
- detecting a presence of a wireless access point (WAP) associated with a sUAS;
- capturing and logging metadata to document a time and a date at which a whitelisted access point is detected;
- analyzing data packets intercepted from the WAP;
- determining that the sUAS is of an unknown type based on one or more open systems interconnection (OSI) Layer 2 characteristics of the data packets that were intercepted using a machine learning classifier;
- determining one or more exploits from a library of exploits to initiate against the sUAS based on the machine learning classifier;
- and
- transmitting the one or more exploits to the sUAS.
Dependencies are inferred from the claim text.