Disclosed herein are system, method, and computer program product embodiments for detecting spoofing of a navigation device. A plurality of anti-spoofing techniques are provided. The plurality of anti-spoofing techniques detect interference with data provided by one or more navigation devices for a plurality of threat situations. Positioning, timing and frequency characteristics associated with the one or more navigation devices are analyzed in order to identify a threat situation among the plurality of threat situations. Based on the identified threat situation one or more of the anti-spoofing techniques are executed. The one or more anti-spoofing techniques can be executed in parallel in order to provide various anti-spoofing detection techniques at the same time.

Methods, systems, and devices are disclosed for operating a drone consistent with an access level of the drone and/or an operator of the drone. Various embodiments may include determining, by a processor of the drone, whether the drone is registered with an agency or the operator of the drone is registered to operate the drone. In response to determining that the drone and/or the operator is registered, the drone processor may operate the drone consistent with an access level of the drone and/or operator. In response to determining that the drone and/or the operator is registered, the drone processor may restrict operations of the drone.

Disclosed herein are system, method, and computer program product embodiments for detecting spoofing of a navigation device. A plurality of anti-spoofing techniques are provided. The plurality of anti-spoofing techniques detect interference with data provided by one or more navigation devices for a plurality of threat situations. Positioning, timing and frequency characteristics associated with the one or more navigation devices are analyzed in order to identify a threat situation among the plurality of threat situations. Based on the identified threat situation one or more of the anti-spoofing techniques are executed. The one or more anti-spoofing techniques can be executed in parallel in order to provide various anti-spoofing detection techniques at the same time.

An LED light and communication system is in communication with a broadband over power line communications system. The LED light and communication system includes at least one optical transceiver. The optical transceiver includes a light support having a plurality of light emitting diodes and at least one photodetector attached thereto, and a processor. The processor is in communication with the light emitting diodes and the at least one photodetector. The processor is constructed and arranged to generate a communication signal.

A circular grazing system for poultry and/or livestock. The circular grazing system including a center pivot structure installed at a field. The center pivot structure may have a center pivot axis. The field may be a poultry and/or livestock grazing field. The circular grazing system for poultry and/or livestock may include an enclosure for containing poultry and/or livestock. The enclosure may extend generally radially from the center pivot structure to a circumference of the field. The enclosure may be rotably coupled to the center pivot structure such that the enclosure rotates around the center pivot axis.

A circular grazing system for poultry and/or livestock. The circular grazing system including a center pivot structure installed at a field. The center pivot structure may have a center pivot axis. The field may be a poultry and/or livestock grazing field. The circular grazing system for poultry and/or livestock may include an enclosure for containing poultry and/or livestock. The enclosure may extend generally radially from the center pivot structure to a circumference of the field. The enclosure may be rotably coupled to the center pivot structure such that the enclosure rotates around the center pivot axis.

Disclosed herein are system, method, and computer program product embodiments for adapting to malware activity on a compromised computer system by detecting timing anomalies between timing signals. An embodiment operates by analyzing first timing data accessed from a validated source and second timing data accessed from an unvalidated receiver source in order to compute a threat detection value, which is utilized to determine if there is a discrepancy or anomaly in the timing or frequency of either the validated and unvalidated sources.

A method of phrase extraction for ASR models includes obtaining audio data characterizing an utterance and a corresponding ground-truth transcription of the utterance and modifying the audio data to obfuscate a particular phrase recited in the utterance. The method also includes processing, using a trained ASR model, the modified audio data to generate a predicted transcription of the utterance, and determining whether the predicted transcription includes the particular phrase by comparing the predicted transcription of the utterance to the ground-truth transcription of the utterance. When the predicted transcription includes the particular phrase, the method includes generating an output indicating that the trained ASR model leaked the particular phrase from a training data set used to train the ASR model.

Techniques for determining whether data associated with an autonomous/non-autonomous operation of a manned/unmanned vehicle may be trusted. For example, a first set of data may be provided from a source external to a manned/unmanned vehicle. A second set of data may be accessed. This second set may be provided from a source internal or external to the manned/unmanned vehicle and may be associated with the same autonomous/non-autonomous operation. The two sets may be compared to determine whether the first set of data may be trusted or not. If untrusted, a corrective action may be performed.

A system, configured to mount on an ownship vehicle, includes a transceiver configured to receive positioning signals and receive surveillance signals including surveillance data from a second vehicle and processing circuitry configured to determine a location of the ownship vehicle based on the positioning signals received by the transceiver and determine expected characteristics of the surveillance signals based on the surveillance data. The processing circuitry is further configured to compare the expected characteristics and actual characteristics of the surveillance signals received from the second vehicle and determine that the surveillance signals include a discrepancy indicative of false positioning signals in response to comparing the expected characteristics and the actual characteristics. The processing circuitry is configured to output an alert signal indicating the false positioning signals in response to determining that the surveillance signals include a discrepancy.