Abstract: Embodiments of a cooking station having a main body with a hood pivotably coupled relative to the main body. In some embodiments, the main body may be sized to support a griddle with the hood pivotably coupled to a splash guard of the griddle. The hood includes a brace structure sized and configured to substantially support the hood and substantially prevent warping of the hood.

Abstract: Embodiments of a solar powered portable power station configured to be powered by a solar element and/or alternate energy source and method thereof are provided. The solar powered portable power station includes a portable cart structure with an upper support structure configured to support and position components being powered by the portable power station. The upper support structure of the portable cart structure configured to support and position an electric device, such as a portable cooking station or other appliance or a power tool, each of which may be powered by the portable power station.

Abstract: A cooking system with modifiable portability that includes an outdoor oven and a stand. The outdoor oven extends with an upper oven portion and a lower oven portion. The upper oven portion includes a cooking chamber having a lower stone positioned on a tray. The lower oven portion includes oven legs extending therefrom. The stand includes a frame structure extending between an upper side and a lower side, the frame structure sized and configured to receive the oven legs of the outdoor oven so that the outdoor oven is positionable over the stand. The stand includes wheels positioned adjacent the lower side of the stand. The outdoor oven being removable from the frame structure of the stand to separate the outdoor oven from the stand so that the outdoor oven is useable in a countertop configuration.

Abstract: One or more virtual supervisory control and data acquisition (SCADA) controllers are provided. The virtual SCADA controller(s) may be deployed upon a detection of a failure of a physical SCADA controller. An on-site module may detect failure including a security breach which causes the physical SCADA controller to be disconnected from a network and the virtual SCADA controller(s) to take over control. The virtual SCADA controller(s) may be on-site or off-site.

Abstract: A system and method (referred to as the system) detect malware by training a rule-based model, a functional based model, and a deep learning-based model from a memory snapshot of a malware free operating state of a monitored device. The system extracts a feature set from a second memory snapshot captured from an operating state of the monitored device and processes the feature set by the rule-based model, the functional-based model, and the deep learning-based model. The system identifies identifying instances of malware on the monitored device without processing data identifying an operating system of the monitored device, data associated with a prior identification of the malware, data identifying a source of the malware, data identifying a location of the malware on the monitored device, or any operating system specific data contained within the monitored device.

Abstract: A heating system configured to employ pellets as a fuel source for cooking and configured to be initially ignited with a gas fuel. The heating system including a gas line configured to feed gas to a fire pot. The fire pot being located in a main body. The fire pot includes one or more screens to define a region within the fire pot such that the one or more screens are sized and configured to block pellets from entering the region. Further, the gas line is associated with a mixing structure configured to mix the gas fuel and oxygen together.

Abstract: An oven member that may be positioned over a cooking station base with gas flame burners. The oven member includes an inner shell, an outer shell, and lower and upper stones. The inner shell includes a ridge and a ledge and positioned over the cooking station base. The lower stone is configured to be positioned adjacent the ridge of the inner shell and the upper stone is configured to be positioned adjacent the ledge of the inner shell so that the lower stone is positioned parallel relative to the upper stone to at least partially define a baking chamber between the lower and upper stones. The outer shell is sized to be positioned over the inner shell with a gap defined between the inner and outer shells, the outer shell including an oven door positionable over an access opening defined in the outer shell. The access opening is sized and configured to facilitate accessing food product in the baking chamber such that the access opening is accessed along a front side of the oven member.

Abstract: A cooking system configured to minimize cross-winds while cooking a food product. The cooking system includes a cooking station, a griddle and a wind guard. The wind guard extends to define a barrier portion and an engaging portion, the engaging portion coupled to legs of the griddle so that, upon the griddle being placed onto the cooking station, the barrier portion blocks a gap between the griddle and a top side of the cooking station.

Abstract: A system, device and method of a griddle with structure configured to minimize the effects of thermal stress and strain. The griddle extends to define a flat cooking surface and an oppositely facing underside surface. The underside surface extends to define a front end, a rear end, a first end, and a second end, the front end extending parallel with the rear end, the first end extending parallel with the second end. The underside surface includes a reinforcement structure directly secured thereto. The reinforcement structure extends with diagonal reinforcement portions such that the diagonal reinforcement portions are elongated and longitudinally extend transverse along the underside surface relative to each of the front end, the rear end, the first end and the second end of the underside surface of the griddle.

Abstract: One or more virtual supervisory control and data acquisition (SCADA) controllers are provided. The virtual SCADA controller(s) may be deployed upon a detection of a failure of a physical SCADA controller. An on-site module may detect failure including a security breach which causes the physical SCADA controller to be disconnected from a network and the virtual SCADA controller(s) to take over control. The virtual SCADA controller(s) may be on-site or off-site.

Abstract: Whether testing intrusion detection systems, conducting training exercises, or creating data sets to be used by the broader cybersecurity community, realistic user behavior is a desirable component of a cyber-range. Existing methods either rely on network level data or replay recorded user actions to approximate real users in a network. Probabilistic models can be fit to actual user data (sequences of application usage) collected from endpoints. Once trained to the user's behavioral data, these models can generate novel sequences of actions from the same distribution as the training data. These sequences of actions can be fed to emulator software via configuration files, which replicate those behaviors on end devices. The models are platform agnostic and can generate behavior data for any emulation software package. In some embodiments a latent variable is added to faithfully capture and leverage time-of-day trends.

Abstract: A system and method detects malware by processing notifications from an intrusion detection system and baseline snapshots from an image capture utility. The image capture utility constructs an image of the suspected malware intrusion and links the suspected malware intrusion to the baseline snapshots. The system and method propagates the image of the suspected malware intrusion across multiple networks before it distinguishes malicious code, device state, and files from benign code, device state, and files. Some systems and methods include a malware recovery system that executes machine learning instructions and heuristics to revert a client and/or a remote server to one or more baseline snapshots.

Abstract: A system and method (referred to as the system) detect malware by training a rule-based model, a functional based model, and a deep learning-based model from a memory snapshot of a malware free operating state of a monitored device. The system extracts a feature set from a second memory snapshot captured from an operating state of the monitored device and processes the feature set by the rule-based model, the functional-based model, and the deep learning-based model. The system identifies identifying instances of malware on the monitored device without processing data identifying an operating system of the monitored device, data associated with a prior identification of the malware, data identifying a source of the malware, data identifying a location of the malware on the monitored device, or any operating system specific data contained within the monitored device.

Abstract: A system and method detects malware by processing notifications from an intrusion detection system and baseline snapshots from an image capture utility. The image capture utility constructs an image of the suspected malware intrusion and links the suspected malware intrusion to the baseline snapshots. The system and method propagates the image of the suspected malware intrusion across multiple networks before it distinguishes malicious code, device state, and files from benign code, device state, and files. Some systems and methods include a malware recovery system that executes machine learning instructions and heuristics to revert a client and/or a remote server to one or more baseline snapshots.