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.

The system and methods described herein aids in the defense of unmanned vehicles, such as aerial vehicles, from wifi cyber attacks. Such attacks usually do not last long and in the case of many point-to-point command and control systems, the attacks originate from close proximity to the unmanned vehicle. The system and methods described herein allow a team to rapidly identify and physically respond to an adversary trying to take control of the unmanned vehicle. Another aspect of the embodiment taught herein is to allow for the location of a wifi signal in a hands-free manner by able to visualize the source of the signal using an augmented reality display coupled to an antenna array.

A radio frequency (RF) jamming device includes a differential segmented aperture (DSA), a jammer source outputting a jamming signal at one or more frequencies or frequency bands to be jammed, and RF electronics that amplify and feed the jamming signal to the DSA so as to emit a jamming beam. The DSA includes an array of electrically conductive tapered projections, and the RF electronics comprise power splitters configured to split the jamming signal to aperture pixels of the DSA. The aperture pixels comprise pairs of electrically conductive tapered projections of the array of electrically conductive tapered projections. The RF electronics further comprise pixel power amplifiers, each connected to amplify the jamming signal fed to a single corresponding aperture pixel of the DSA. The RF jamming device may include a rifle-shaped housing, with the DSA mounted at a distal end of the barrel of the rifle-shaped housing.

Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. A tracking system can include one or more first computing devices that receive sensor data associated with an object in a particular airspace from one or more sensors. The first computing device can analyze the sensor data relating to the object to determine information about the object. A portable countermeasure device can include one or more second computing devices. The second computing device can receive the information relating to the object. The second computing device can display a visual indicator indicating the information on a display.

A method for processing information related to one or more monitored areas, the method may include receiving by a central control unit, UAV indicators about at least one unmanned airborne vehicle (UAV) located within the one or more monitored areas; wherein the UAV indicators are generated by a preprocessing step that comprises extracting information that is embedded within sensed UAV communication, the sensed UAV communication is sensed by at least one sensor of a group of sensors; aggregating, by a central control unit, the UAV indicators, to provide aggregated information; and responding to the aggregated information, wherein the responding comprises at least one out of (i) outputting the aggregated information, and (ii) storing the aggregated information.

Systems, methods and apparatus are described for a HERF weapon that may emit high-energy radio waves at a target based on locational information and a frequency associated with the target. The HERF weapon may receive the frequency and locational information from a sensing system. The HERF weapon may emit a high energy pulse toward the target and on the frequency associated with the target to disable or destroy the target without affecting nearby devices. The HERF weapon may allow the user to avoid detection by using a frequency that corresponds to the target's operating frequency.

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.

Systems and methods are described for a cyber-physical vehicle management system generated by an Integrated Secure Device Manager (ISDM) Authority configured to manage licensing and approval of Cyber-Physical Vehicle (CPV)s, a public/private key pair and a unique ID for the Authority, create a self-signed Authority token signed by the private key, send the Authority token to a plurality of ISDM Node device configured to verify Module device authenticity and in communication with the Authority, store, by each Node, the Authority token, and mark, by each Node, the Authority token as trusted.

A radio frequency (RF) jamming device includes a differential segmented aperture (DSA), a jammer source outputting a jamming signal at one or more frequencies or frequency bands to be jammed, and RF electronics that amplify and feed the jamming signal to the DSA so as to emit a jamming beam. The DSA includes an array of electrically conductive tapered projections, and the RF electronics comprise power splitters configured to split the jamming signal to aperture pixels of the DSA. The aperture pixels comprise pairs of electrically conductive tapered projections of the array of electrically conductive tapered projections. The RF electronics further comprise pixel power amplifiers, each connected to amplify the jamming signal fed to a single corresponding aperture pixel of the DSA. The RF jamming device may include a rifle-shaped housing, with the DSA mounted at a distal end of the barrel of the rifle-shaped housing.

A computer-implementable method employs network 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 network communication protocol. The inferred function is used to map metadata of a detected network signal to a cognitive profile of a transmitter of the detected network 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 network signal. Information content in the network signal can be determined from the inferred function or the cognitive profile without demodulating the network signal.