Systems and methods for unmanned aerial vehicle detection

A system, comprising:

• at least one device comprising a processor, wherein the at least one device is configured to:
• obtain connection-related data associated with user equipment (UE) devices operating in a network, wherein the UE devices include unmanned aerial vehicles (UAVs) and devices other than UAVs;
• store the connection-related data;
• identify, in the stored connection-related data, data associated with known UAVs;
• filter the stored connection-related data based on a distance associated with a known UAV, wherein the distance comprises at least one of a distance from the known UAV or a distance from a serving base station serving the known UAV;
• train a machine learning classifier using the filtered data;
• and
• execute the machine learning classifier to identity UAVs operating in the network.

A non-transitory computer-readable medium having stored thereon sequences of instructions which, when executed by at least one processor, cause the at least one processor to:

• access stored connection-related data associated with user equipment (UE) devices operating in a network, wherein the UE devices include unmanned aerial vehicles (UAVs) and devices other than UAVs;
• identify, in the stored connection-related data, data associated with known UAVs;
• filter the stored connection-related data based on a distance associated with a known UAV, wherein the distance comprises at least one of a distance from the known UAV or a distance from a serving base station serving the known UAV;
• train a machine learning classifier using the filtered data;
• and
• execute the machine learning classifier to identity UAVs operating in the network.