Abstract: Disclosed herein are embodiments of systems, methods, and products comprise a computing device, which provides a secure data transport service (SecureX) for data packets traversing from an end user device (EUD) to a mission network over untrusted networks. The disclosed SecureX module may be software product running on the EUD and on a SecureX appliance fronting the mission network. The SecureX module on the EUD compresses the data packets by removing header fields that are constant over the same packet flow and double encrypts the data packets with different cryptographic keys. The SecureX on the EUD transmits the double compressed encrypted data packets over the untrusted network. The SecureX appliance receives the double compressed encrypted data packets, decrypts the data packets and decompresses the data packets to recreate the original data packets. The SecureX appliance transmits the original data packets to the mission network.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprising a computing device, which provides Efficient Data-In-Transit Protection Techniques for Handheld Devices (EDITH) to protect data-in-transit. An end user device (EUD) may generate a multicast data packet. The EDITH module of the EUD encapsulates the data packet in a GRE packet and directs the GRE packet to a unicast destination address of an EDITH Multicast Router included in an infrastructure. The EDITH module on the EUD double compresses and double encrypts the GRE packet. The EDITH module on the infrastructure decrypts and decompresses the double compressed and double encrypted GRE packet to recreate the GRE packet. The EDITH module on the infrastructure decapsulates the GRE packet to derive the original multicast data packet, and distributes the original multicast data packet to the multiple group member based on the multicast destination address included in the original multicast data packet.

Abstract: A computing device may authenticate a user of the computing device as an authorized user. The computing device may, in response to authenticating the user of the computing device as the authorized user, transition from a locked state to an unlocked state. The computing device may, in response to authenticating the user of the computing device as the authorized user, determine one or more computing devices that are proximate to the computing device. The computing device may, in response to determining the one or more computing devices that are proximate to the computing device, send to each of the one or more computing devices an indication of successful user authentication by the computing device to enable each of the one or more computing devices to transition from the locked state to the unlocked state without performing user authentication.

Abstract: A method and system for determining predictably feasible model designs. The method includes defining a plurality of model designs, wherein the plurality of model designs include a plurality of infeasible model designs, wherein one or more of the infeasible model designs are infeasible due to limits in technology; storing information representing a plurality of technological trends; and classifying one or more of the infeasible model designs as predictably feasible model designs, wherein the predictable feasible model designs are those infeasible model designs expected to become feasible model designs if one or more of the plurality of technological trends continues as anticipated.

Abstract: A computer-implemented method for securing unmanned aerial system (UAS) operations includes receiving a UAS flight plan for a UAS and a UAS operation, the UAS flight plan including a flight profile and flight path for the UAS; determining a mission type for the UAS operation requires use of dummy aircraft information; and assigning a dummy UAS identification for the UAS. Generating dummy airframe information, including dummy airframe characteristics and performance data, for the UAS, includes generating dummy airframe information that corresponds to airframe information for an actual civil aircraft that could follow the received UAS flight plan. The method further includes causing the UAS to broadcast the dummy UAS identification and the dummy airframe information with an automatic dependent surveillance-broadcast signal during at least a portion of the UAS operation.

Abstract: Various computing technologies for various reverse engineering platforms capable of outputting, including creating or generating, a human readable and high level source code, such as C, Fortran, LISP, or BASIC, from various binary files, such as application binaries, executable binaries, or data binaries, in an original language as developed pre-compilation. For example, some of such reverse engineering platforms can be programmed to disassemble binary files from different process architectures, identify various code optimizations as compiler introduced, reverse or unwind various compiler optimizations (de-optimize), and generate a human readable and high-level source code from de-optimized data.

Abstract: Techniques are described for implementing a system that deploys and monitors training simulations and exercises across a network, and that enables the development and execution of virtual training. An example system outputs, for display in a web browser of a trainee computing system, a graphical user interface that includes one or more training exercises, and initiates execution of software agent(s) associated with skill(s) to be demonstrated by a trainee. The example system outputs, at the trainee computing system, content corresponding to scene(s) of an at least partially virtual environment for a training exercise, where the content is rendered for display at least in the web browser of the trainee computing system. After receiving interaction data collected by the software agent(s) during the training exercise, the example system determines, based on the interaction data, that the skill(s) associated with the training exercise have been demonstrated.

Abstract: Disclosed herein are embodiments for managing a task including one or more skills. A server stores a virtual environment, software agents configured to collect data generated when a user interacts with the virtual environment to perform the task, and a predictive machine learning model. The server generates virtual entities during the performance of the task, and executes the predictive machine learning model to configure the virtual entities based upon data generated when the user interacts with the virtual environment. The server generates the virtual environment and the virtual entities configured for interaction with the user during display by the client device, and receives the data collected by the software agents. The system displays a user interface at the client device to indicate a measurement of each of the skills during performance of the task. The server trains the predictive machine learning model using this measurement of skills during task performance.

Abstract: An automatic, autonomous predictive aircraft surface state event track (ASSET) system, includes a mobile device onboard an aircraft and a remote service in communication with the mobile device. The mobile device includes a processor, and an application that in turn includes machine instructions encoded on a non-transitory computer-readable storage medium. The processor executes the machine instructions to receive sensor data from aircraft onboard sensors, the sensor data indicating an operational state of the aircraft; and transmit the sensor data. The remote service receives the sensor data and includes a remote processor that executes machine instructions to compute an operational state of the aircraft; identify an aircraft event associated the aircraft; and using the aircraft operational data, the sensor data, and the event, predict that the aircraft will meet a next scheduled aircraft event within a specified time window.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprise an analytic server, which provides a terrain segmentation and classification tool for synthetic aperture radar (SAR) imagery. The server accurately segments and classifies terrain types in SAR imagery and automatically adapts to new radar sensors data. The server receives a first SAR imagery and trains an autoencoder based on the first SAR imagery to generate learned representations of the first SAR imagery. The server trains a classifier based on labeled data of the first SAR imagery data to recognize terrain types from the learned representations of the first SAR imagery. The server receives a terrain query for a second SAR imagery. The server translates the second imagery data into the first imagery data and classifies the second SAR imagery terrain types using the classifier trained for the first SAR imagery. By reusing the original classifier, the server improves system efficiency.

Abstract: Disclosed herein are embodiments of a network monitoring device for a supercomputer system having a plurality of supercomputer nodes. The network monitoring device may utilize plug-in software modules to provide network monitoring capabilities related to discovering the network topologies of the supercomputer system, determining network and computing resources that are available for new applications in the supercomputer system, collecting network and computing resources that are being used by running software applications in the supercomputer system, and monitoring running software applications on the supercomputer system.

Abstract: This disclosure is directed to network optimization in a complex joint network for increasing the network utility of the complex joint network. A computing device in the complex joint network may receive a data flow via a complex joint network. The computing device may determine, based on a network template, a mission utility associated with the data flow and a traffic class associated with the data flow. The computing device may control one or more quality of service decisions based at least in part on the mission utility associated with the data flow and the traffic class associated with the data flow.

Abstract: An automatic, autonomous, and aircraft-centric interference advisory method is executed entirely on a fist aircraft operating on a movement area of a runway, the movement are including ramps, taxiways, and runways. The method includes a processor onboard the first aircraft computing a first movement projection for the first aircraft using first aircraft data received at the first aircraft; the processor computing additional second movement projections for multiple second aircraft operating on the movement area of the airport using second data regarding each of the multiple second aircraft; the processor detecting a threat to the first aircraft on approach to a defined intersection of the movement area from any of the multiple second aircraft based on a corresponding second movement projection within a configurable time limit of entry into the defined intersection by the first aircraft; and providing on the first aircraft, a threat advisory for a detected threat.

Abstract: Disclosed herein are embodiments of a cloud data synchronization system enabling an user operating a mobile client device to download mission-specific data sets from a fixed cloud-based server system to a database of the mobile client device, and then use the downloaded data sets independently on the mobile client device when the mobile client device is disconnected from a network connecting to the fixed cloud-based server system. When connectivity to the fixed cloud-based server system is re-established by the mobile client device in an intermittent and bandwidth-limited communication network environment, the fixed cloud-based server system may provide bi-directional data synchronization between records of the fixed cloud-based server system and the mobile client device to update the data sets on the fixed cloud-based server system and the mobile client device while operating in the intermittent and bandwidth-limited communication network environment.

Abstract: Various embodiments described herein relate to a system for providing automated solutions, in response to a query of a user. The system may include a search engine-based web service, which may receive information from a database and may enable the user to troubleshoot their query. The search engine-based web service may include an artificial intelligence based chat service. The user may use the artificial intelligence based chat service to submit the query. In response, an intelligent virtual assistant of the artificial intelligence based chat service may process the query and return the solutions from the database, which may be appropriately related to subject matter of the query.

Abstract: A method for minimizing aircraft collisions, includes detecting a flight of an unmanned aerial system (UAS) in a restricted area and determining a location of a radio frequency (RF) emitter in communication with the UAS. The method includes, at each of a plurality of RF sensors of a network of wireless RF sensors, receiving RF emissions within an RF band pertaining to UAS control, processing the received RF emissions, and transmitting data derived from the processed RF emissions. The method further includes at a designated one of the plurality of RF sensors, receiving the transmitted data from the RF sensors, a processor computing, using the transmitted data received from the RF sensors, a location estimate for the RF emitter and to predict the UAS is flying, and based on the prediction, the processor generating an alert.

Abstract: Disclosed is a high assurance unified switching device corresponding to a modular, standards-compliant extensible network switch supporting multiple security domains with data isolation of multiple data packets obtained from the multiple security domains. The device may comprise an inner layer router and an outer layer security wrapper (outer layer router). The ports on the outer layer router are configured for different security domains and assigned corresponding key pairs. The ports use the assigned key pairs for encrypting data packets prior to routing and decrypt the data after routing such that there is an isolation of data packets of different security domains. A routed packet arriving at the wrong port cannot be decrypted and therefore is dropped.

Abstract: Various embodiments described herein relate to a machine-learning based electronic media analysis software system. The system is configured to detect anomalous and predictive patterns associated with an event. The system is configured to use feature extraction techniques and semi-supervised machine-learning to detect the patterns associated with the event in the electronic media messages, which may indicate a synthetic driven behavior and conversation corresponding to the event.

Abstract: A method for improving data flow and data security in an existing wireless communications network comprising a central node and a plurality of remote nodes, during band-width-limiting conditions, the method including generating, by a processor at the central node, a hybrid network overlay to the existing wireless communications network, the hybrid network overlay including a remote overlay node for each remote node and a central overly node for the central node.

Abstract: A product obsolescence forecast system includes machine instructions stored in a non-transitory computer readable storage medium, the machine instructions. A processor executes the instructions to receive an identity of a first product and identities of one or more second products similar to the first product, each of the second products having gone obsolete; receive a determinant of obsolescence of one or more of the obsolete second products; generate one or more observations related to the first product by inputting each received determinant to a trained network; and generate a statistical analysis of the one or more observations to provide an expected value of an actual obsolescence date for the first product.