Bastille Networks, Inc.

David Maynor

Robert Baxley

Christopher Jay Rouland

Michael Thomas Engle

Logan Michael Lamb

Robert John Baxley

Systems and methods can support a sensor mesh and signal transmission architecture for electromagnetic signature analysis and threat detection. Sensor antennas may be deployed within an electromagnetic environment. A configurable antenna feed network can couple radio frequency signals from the antennas to both software-defined radio receivers and hardware-defined radio receivers. A raw signal analysis engine associated with the software-defined radio receiver can receive digital samples of the radio frequency signals, identify signal features within the digital samples, and generate signal feature vectors from the identified signal features. A signal feature network can receive the signal feature. A signal aggregation and analysis engine can receive the signal feature vectors from the signal feature network, aggregate the signal feature vectors, process the signal feature vectors, and identify wireless attacks according to the signal features within the signal feature vectors. One or more updatable analysis databases can support the signal processing operations.

Sensor mesh and signal transmission architectures for electromagnetic signature analysis

Systems and methods can support detecting and identifying threats associated with wireless devices. A radio receiver can collect radio frequency signals from one or more sensor antennas positioned within an electromagnetic environment. The receiver can generate data samples representing at least a portion of the radio frequency signals. Feature vectors can be generated comprising at least a portion of the data samples and attribute information. The attribute information can describe one or more features of a communicated signal within the radio frequency signals. Content of the feature vectors may be compared against signatures of known signals to identify radio frequency signals associated with a wireless attack. Content of the feature vectors may be compared against templates of known attacks to classify the identified wireless attacks. Threat information associated with the wireless attacks may be presented to one or more operator interfaces.

Electromagnetic signature analysis for threat detection in a wireless environment of embedded computing devices

Systems and methods can support detecting and identifying threats associated with wireless devices within an electromagnetic environment. One or more sensor antennas may be located within the electromagnetic environment. Radio frequency signals may be coupled from the sensor antennas into a radio receiver. The radio receiver can communicate data samples representing a portion of the radio frequency signal to a raw signal analysis engine. The raw signal analysis engine can identify features associated with a communicated signal within the data samples. The raw signal analysis engine can classify modulation features and decode information features from the communicated signal. Feature vectors may be generated comprising the data samples and the identified features associated with the data samples. The feature vectors can be transmitted to a signal aggregation and analysis engine to support detecting and identifying electromagnetic threats and to support associated operator interfaces.

Blind signal classification and demodulation in a multimodal radio frequency environment

Systems and methods can support identifying multiple radio transmitters as being integrated within a single communications device. Radio frequency signals may be collected using one or more sensors incorporating radio receivers. A first radio frequency signature and a second radio frequency signature may be identified within one or more of the radio frequency signals as originating respectively from a first radio transmitter and a second radio transmitter. Characteristics of the first and second radio frequency signatures may be analyzed to evaluate a relationship between the first and second radio frequency signatures. It may be determined whether or not the first and second radio transmitters are integrated within a common wireless electronic device based upon the evaluated relationship between the first radio frequency signature and the second radio frequency signature. Characteristics and behaviors associated with the wireless electronic device may be determined therefrom.

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Atlanta, GA, United States of America

David Maynor