Disclosed herein is a method and system for detecting, monitoring and/or controlling one or more of mobile services for a mobile communication device (also referred to herein as a Controllable Mobile Device or CMD), and in particular, when the device is being used and the vehicle, operated by the user of the device, is moving. The present method and system determines whether the vehicle is being operated by a user that may also have access to a mobile communication device which, if used concurrently while the vehicle is in operation, may lead to unsafe operation of the vehicle. If the mobile services control system determines that a vehicle operator has potentially unsafe access to a mobile communication device, the mobile services control system may restrict operator access to one or more services that would otherwise be available to the operator via the mobile communication device.

An Unmanned Aerial Vehicle is disclosed. The Unmanned Aerial Vehicle includes a body, rotors attached to the body, one or more sensors, and an electromagnetic pulse transmitter. The electromagnetic pulse transmitter is configured to transmit an EMP and the Unmanned Aerial Vehicle is configured to track a target Unmanned Aerial Vehicle using the one or more sensors and direct the electromagnetic pulse transmitter at the target Unmanned Aerial Vehicle to disrupt the target Unmanned Aerial Vehicle.

Method and apparatus for cooperative early threat detection and avoidance in C-V2X. In one aspect, the apparatus detects a threat entity within a threat zone based on data signals received from the threat entity, wherein the threat entity obstructs wireless spectrum or resources utilized in cooperative or automated driving decisions. The apparatus transmits, to at least one second wireless device, a message indicating the threat entity within the threat zone.

A configuration for virtual sensing via sensor sharing for C-V2X scheduling. The apparatus receives, from a first wireless device, a message indicating a threat entity within a threat zone. The threat entity transmits data that interferes with transmission of BSMs. The apparatus determines a candidate resource of a set of candidate resources on which to transmit a BSM based at least in part on the message indicating information related to the threat entity from the first wireless device. The apparatus transmits, to at least a third wireless device, the BSM on a determined candidate resource.

In some examples, a system includes a transceiver configured to receive surveillance messages from Y target vehicles, where Y is an integer greater than two. The system includes processing circuitry configured to determine predicted positions of the Y target vehicles based on the surveillance messages. The processing circuitry is also configured to determine reported positions of the Y target vehicles based on later received surveillance messages. The processing circuitry is further configured to determine that respective differences between the respective predicted position and the respective reported position for X of the Y target vehicles is greater than a threshold distance. The processing circuitry is configured to determine that Global Navigation Satellite System interference has occurred in response to determining that X divided by Y is greater than a threshold level.

A interference detection device (22) perform the following actions: receiving individual position data from mobile terminals (4(j)) which individual position data indicates an area (12(j)) in which individual ones of the mobile terminals (4(j)) are located based on positioning signals received by the mobile terminals (4(j)); identifying if individual position data may have been affected by one or more interfering signals transmitted by interfering device (14(m)) and interfering with the positioning signals; (A) identifying if a number of mobile terminals (4.sub.v(j)) in a first area (18) is higher than a maximum threshold number, and, if so, determining that individual position data of the number of mobile terminals (4.sub.v(j)) may have been affected by the interfering signals; or (B) identifying if a number of the mobile terminals (4(j)) in a second area (36) is lower than a minimum threshold number; and, if so, determining that individual position data of the number of mobile terminals (4(j)) may have been affected by interfering signals; or (C) receiving further individual position data which indicates further areas (18) in which mobile terminals (4(j)) are located based on another positioning technique than a positioning technique used to determine the individual position data as received from the mobile terminals (4(j)); determining if the areas (12(j)) overlap with the further areas (18) at least to a minimum extent, and, if not, determining that individual position data of the mobile terminals (4(j)) may have been affected by the interfering signals.

Disclosed herein is a method and system for detecting, monitoring and/or controlling one or more of mobile services for a mobile communication device (also referred to herein as a Controllable Mobile Device or CMD), and in particular, when the device is being used and the vehicle, operated by the user of the device, is moving. In addition, one aspect of the invention generally relates to a method and system for modifying a user's driving behaviors, in particular to a system and method for modifying a user's unsafe driving behaviors, e.g., using one or more services of a controllable mobile device while driving, by providing a score to the user rating indicating that they are using a mobile device in a distracting way, or driving in a manner that indicates that they are distracted.

A system, method and computer program product for controlled drone descent, and deactivation, including a drone deactivation system; and a location system. The drone deactivation system calculates positioning, signal reception, signal strength, and signal identification parameters of a target drone from the location system, and determines an attack method based on the calculated parameters. The drone deactivation system employs the determined attack method against the target drone for forcing at least one of controlled drone descent, and deactivation of the target drone.

Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. Sensor data can be received from one or more portable countermeasure devices or sensors. The sensor data can relate to an object detected proximate to a particular airspace. The system can analyze the sensor data relating to the object to determine a location of the object and determine that the object is flying within the particular airspace based at least in part on location data. A portable countermeasure device can be identified that corresponds to the location of the object. The system can transmit information about the object to the identified portable countermeasure device. The portable countermeasure device can transmit additional data relating to the object to the system.

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.