Abstract:
One aspect of the invention is a system for providing a dynamic contextual touch menu. The system includes a multi-touch display and processing circuitry coupled to the multi-touch display. The processing circuitry is configured to detect a contextual menu display request in response to a touch detected on the multi-touch display. The processing circuitry is configured to display a dynamic contextual touch menu associated with a first element as a targeted element in response to the detected contextual menu display request. The processing circuitry is also configured to modify content of the dynamic contextual touch menu to align with a second element as the targeted element in response to a detected motion on the multi-touch display between the first and second elements.
Abstract:
According to some embodiments, a system, method, and non-transitory computer readable medium are provided comprising a plurality of real-time monitoring nodes to receive streams of monitoring node signal values over time that represent a current operation of the cyber physical system; and a threat detection computer platform, coupled to the plurality of real-time monitoring nodes, to: receive the monitoring node signal values; compute an anomaly score; compare the anomaly score with an adaptive threshold; and detect that one of a particular monitoring node and a system is outside a decision boundary based on the comparison, and classify that particular monitoring node or system as anomalous. Numerous other aspects are provided.
Abstract:
Methods and systems for self-certifying secure operation of a cyber-physical system having a plurality of monitoring nodes. In an embodiment, an artificial intelligence (AI) watchdog computer platform obtains, using the output of a local features extraction process of time series data of a plurality of monitoring nodes of a cyber-physical system and a global features extraction process, global features extraction data. The AI watchdog computer platform then obtains reduced dimensional data, generates an updated decision boundary, compares the updated decision boundary to a certification manifold, determines based on the comparison that the updated decision boundary is certified, and determines, based on an anomaly detection process, whether the cyber-physical system is behaving normally or abnormally.
Abstract:
According to some embodiments, streams of monitoring node signal values may be received over time that represent a current operation of an industrial asset control system. A current operating mode of the industrial asset control system may be received and used to determine a current operating mode group from a set of potential operating mode groups. For each stream of monitoring node signal values, a current monitoring node feature vector may be determined. Based on the current operating mode group, an appropriate decision boundary may be selected for each monitoring node, the appropriate decision boundary separating a normal state from an abnormal state for that monitoring node in the current operating mode. Each generated current monitoring node feature vector may be compared with the selected corresponding appropriate decision boundary, and a threat alert signal may be automatically transmitted based on results of said comparisons.
Abstract:
A system includes a processor configured to cause a display to display a graphical visualization of an industrial system, detect a user input corresponding to an area of the display, perform a semantic zoom of the area of the display, and to display a first level of information based on a first level of the semantic zoom. The first level of information includes a data that was not previously displayed on the area of the display. The processor is configured to perform a semantic zoom of a graphical visualization of a graphical device during the first level of the semantic zoom. The processor is configured to cause the display to transition to a concurrent display of the graphical device and a second level of information during a second level of the semantic zoom.
Abstract:
Systems and methods may be associated with a cyber-physical system, and a blueprint repository data store may contain electronic files that represent behavior-based asset monitoring parameters for different cyber-physical system asset types. A behavior-based asset monitoring creation computer platform may receive an indication of an asset type of the cyber-physical system. The behavior-based asset monitoring creation computer platform may then search the blueprint repository data store and retrieve an electronic file representing behavior-based asset monitoring parameters for the asset type of the cyber-physical system to be monitored. The behavior-based asset monitoring creation computer platform may also receive, from the remote operator device, adjustments to the retrieved behavior-based asset monitoring parameters and automatically configure, based on the adjusted behavior-based asset monitoring parameters, at least a portion of settings for an abnormal detection model. The abnormal detection model may then be created about output to be executed by an abnormal detection platform.
Abstract:
In some embodiments, an Unmanned Aerial Vehicle (“UAV”) system may be associated with a plurality of monitoring nodes, each monitoring node generating a series of monitoring node values over time that represent operation of the UAV system. An attack detection computer platform may receive the series of current monitoring node values and generate a set of current feature vectors. The attack detection computer platform may access an attack detection model having at least one decision boundary (e.g., created using a set of normal feature vectors a set of attacked feature vectors). The attack detection model may then be executed and the platform may transmit an attack alert signal based on the set of current feature vectors and the at least one decision boundary. According to some embodiments, attack localization and/or neutralization functions may also be provided.
Abstract:
According to some embodiments, a threat detection model creation computer may receive a series of normal monitoring node values (representing normal operation of the industrial asset control system) and generate a set of normal feature vectors. The threat detection model creation computer may also receive a series of threatened monitoring node values (representing a threatened operation of the industrial asset control system) and generate a set of threatened feature vectors. At least one potential decision boundary for a threat detection model may be calculated based on the set of normal feature vectors, the set of threatened feature vectors, and an initial algorithm parameter. A performance of the at least one potential decision boundary may be evaluated based on a performance metric. The initial algorithm parameter may then be tuned based on a result of the evaluation, and the at least one potential decision boundary may be re-calculated.
Abstract:
One aspect of the invention is a system for mobile device authentication. The system includes a public-facing server configured to interface with a mobile device. The system also includes a secure server configured to interface with the public-facing server and an authorization station. The authorization station includes processing circuitry configured to establish authorization limits for the mobile device and generate an authentication key associated with the authorization limits. The processing circuitry is further configured to provide the authentication key and an identifier of the mobile device to the secure server, and generate an authorization code including an encoded version of the authentication key and an address of the public-facing server. The processing circuitry is also configured to provide the authorization code to the mobile device to establish authentication for the mobile device to receive data from a control system network as constrained by the authorization limits.
Abstract:
A dynamic alarm system for operating a power plant is disclosed. The dynamic alarm system includes a sensor configured to generate a signal related to a measurement of an operation of the power plant. An interface displays a generated alarm to an operator and receives a dynamic rating value from the operator related to the generated alarm. A processor generates the alarm using the generated signal, compiles the rating value and alters an operation of the power plant from the compiled rating value.