The Boeing Company

Ramin Nobakht

Scott Charles Sullivan

Ronald Ward Sackman

Leonard Alan Plotke

Daniel H Wells

A system that detects malicious traffic flows in a network includes a computer system including a processor in communication with at least one memory device. The processor is programmed to store a plurality of context information about the network including a plurality of devices. The processor is also programmed to determine a network configuration of the network at a specific point in time. The processor is further programmed to generate one or more security policies for one or more devices of the plurality of devices in the network based on the network configuration and the plurality of context information. In addition, the processor is programmed to deploy the one or more security policies to the one or more devices in the network, wherein the one or more devices are configured to execute an algorithm to monitor communications on the network in view of a corresponding security policy of the one or more security policies.

Systems and methods for context aware cybersecurity

A system for detecting malicious traffic flows in a network is provided. The system includes a processor. Based on packet information received for a plurality of data packets transmitted over the network the processor is programmed to calculate inter-arrival times and packet durations for the plurality of data packets. The processor is also programmed to filter the packet information to remove noise. The processor is further programmed to generate at least one histogram based on the packet information, the inter-arrival times, and the packet durations. In addition, the processor is programmed to generate a power spectral density estimate based on the packet information, the inter-arrival times, and the packet durations. Moreover, the processor is programmed to analyze the at least one histogram and the power spectral density estimate to detect one or more unexpected data flows. Furthermore, the processor is programmed to report the one or more unexpected data flows.

Systems and methods for real-time network traffic analysis

A network for a large number of processing elements utilizes a trellis ring architecture to provide an efficient and fault tolerant data routing system. The processing elements (which may be chip-based processors, circuit cards, unit level assemblies, or computing devices) are interconnected together in an endless ring structure. In addition to the ring arrangement, the processing elements are interconnected via primary and additional trellis connections that reduce the average and/or the maximum number of network node hops between two processing elements in the network architecture.

Trellis ring network architecture

Systems and methods for carrier phase recovery are provided. One method includes providing a reference signal, detecting an input signal and determining a Signal to Noise Ratio (SNR) of the input signal. The method also includes employing a Minimum Mean Square Error (MMSE) algorithm based on the SNR to determine a Carrier Phase Recovery Loop (CPRL) bandwidth.

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Laguna Niguel, CA, United States of America

Ramin Nobakht