Communication with a key fob of a vehicle can be controlled based on a key fob jamming condition. One or more sensors can be configured to detect the key fob jamming condition. In response to the key fob jamming condition being detected, a jamming device can be activated to cause one or more jamming signals to be emitted. The one or more jamming signals can prevent the key fob from receiving and responding to other signals.

System and methods are described that illustrate how to collect and store data about geographic regions of jamming and/or spoofing of signal(s) emitted from satellite(s) of a global navigation satellite system (GNSS). An entity is configured to, and to communicate whether the jamming and/or spoofing has been detected, and the corresponding geographic location and the corresponding detection time. A processing system is configured to receive data about detected jamming and/or spoofing, and a corresponding geographic location and a detection time of such jamming and/or spoofing. Entities(s) may receive information about jamming and/or spoofing from the processing system. The received information may be used to alert the entities to dynamically changing jamming and/or spoofing. The received information may be further used so alert other entities to dynamically changing jamming and/or spoofing.

A system for providing integrated detection and countermeasures against unmanned aerial vehicles include a detecting element, a location determining element and an interdiction element. The detecting element detects an unmanned aerial vehicle in flight in the region of, or approaching, a property, place, event or very important person. The location determining element determines the exact location of the unmanned aerial vehicle. The interdiction element can either direct the unmanned aerial vehicle away from the property, place, event or very important person in a non-destructive manner, or can cause disable the unmanned aerial vehicle in a destructive manner.

The presently disclosed method and system exploits a received signal strength of a jamming signal emitted by a jammer to allow navigation of an object through an area containing the jamming signal. In one embodiment, the method comprises receiving a plurality of navigation data and a jamming signal when entering a jamming zone. The method then comprises repeatedly measuring the strength of the jamming signal while moving within the jamming zone. The method then comprises determining the location of the jammer based on the movement within the jamming zone and the strength of the jamming signal at multiple coordinates. The method further comprises performing movement to destination coordinates within the jamming zone at least partially based on the jammer location and the strength of the jamming signal.

A computer-implementable method employs radio signal metadata to train a cognitive learning and inference system to produce an inferred function, wherein the metadata comprises a syntactic structure of at least one radio communication protocol. The inferred function is used to map metadata of a detected radio signal to a cognitive profile of a transmitter of the detected radio signal. The mapping effects intelligent discrimination of the transmitter from at least one other transmitter through corroborative or negating evidentiary observation of properties associated with the metadata of the detected radio signal. A response to the transmitter is based upon the mapping.

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 for providing integrated detection and deterrence against an unmanned vehicle including but not limited to aerial technology unmanned systems using a detection element, a tracking element, an identification element and an interdiction or deterrent element. Elements contain sensors that observe real time quantifiable data regarding the object of interest to create an assessment of risk or threat to a protected area of interest. This assessment may be based e.g., on data mining of internal and external data sources. The deterrent element selects from a variable menu of possible deterrent actions. Though designed for autonomous action, a Human in the Loop may override the automated system solutions.

Methods, apparatus, systems and articles of manufacture are disclosed to validate data communicated by a vehicle. An example apparatus an anomaly detector to, in response to data communicated by a vehicle, at least one of compare an estimated speed with a reported speed or compare a location of the vehicle with a reported location. The apparatus including the anomaly detector further to generate an indication of the vehicle in response to the comparison. The apparatus further includes a notifier to discard data sent by the vehicle and notify surrounding vehicles of the data communicated by the vehicle.

A method to detect and jars an electromagnetic transmission includes detecting electromagnetic radiation from an electromagnetic radiating source, determining the type of the received electromagnetic radiation by comparing the signature of the received signal with signatures from a database, selecting the waveform and frequency to disturb the determined type, and transmitting a waveform with a frequency to jam the electromagnetic transmission. A system to jam an electromagnetic transmission is also provided.

Disclosed is an anti-eavesdropping method for the Internet of Vehicles (IoV) based on intermittent cooperative jamming. The method comprises: on the premise of effectively preventing an illegitimate user V.sub.e from information eavesdropping, first establishing optimization problems for the purpose of minimizing an energy consumption of a cooperative jamming user V.sub.j; analyzing unique communication characteristics of the IoV based on the Wireless Access in Vehicular Environments (WAVE) protocol, to obtain time structures of physical-layer data packets in the IoV and physical-layer data packet duration; and calculating the shortest physical-layer data packet duration in the IoV; then solving an optimal cooperative jamming scheme for any available power range for the cooperative jamming user V.sub.j; and finally, conducting, by the cooperative jamming user V.sub.j, periodic repetition according to the solved optimal cooperative jamming schemes in a period of data transmission between legitimate users, until transmission between the legitimate users ends.