Abstract: A format conversion system provides an extendable library of data format conversion functions configured to convert raw data (e.g., telemetry data) from any number of original formats to at least one normalized format. Received raw data is routed to the appropriate format conversion function in the library based on format conversion routing metadata generated with respect to raw data from a particular source and/or a mapping of data sources to corresponding original data formats and/or to corresponding format conversion functions. A selected format conversion function from the library is executed with respect to raw data from particular data sources, and normalized data corresponding to the raw data is output. A format conversion function definition interface enables user configuration of the various format conversion functions, and a configuration interface enables user configuration of the mapping used to route the raw data to the various format conversion functions.

Abstract: A format conversion system provides an extendable library of data format conversion functions configured to convert raw data (e.g., telemetry data) from any number of original formats to at least one normalized format. Received raw data is routed to the appropriate format conversion function in the library based on format conversion routing metadata generated with respect to raw data from a particular source and/or a mapping of data sources to corresponding original data formats and/or to corresponding format conversion functions. A selected format conversion function from the library is executed with respect to raw data from particular data sources, and normalized data corresponding to the raw data is output. A format conversion function definition interface enables user configuration of the various format conversion functions, and a configuration interface enables user configuration of the mapping used to route the raw data to the various format conversion functions.

Abstract: A method, an electronic device, and a computer readable medium for vulnerability detection are disclosed. The method includes generating a mapped dataset of a portion of an OPC UA server by mapping the portion of the server, wherein the server is compatible with OPC UA machine to machine (M2M) protocol communication including transport encodings and services. The method also includes identifying input test data to test the portion of the server based in part on the mapped dataset set in order to detect errors. The method further includes performing a plurality of targeted attacks by loading the input test data onto the portion of the server. In response to loading the input test data into the server, the method includes monitoring responses of the server to detect an error. Further, in response to detecting the error the method includes generating a report that indicates the detect error.

Abstract: A method, an electronic device, and a computer readable medium for vulnerability detection are disclosed. The method includes receiving a request, from a computing device, for data associated with an industrial plant. The method also includes generating a session with the computing device. The method further includes gathering nodes from one or more servers associated with the industrial plant, wherein each of the nodes includes data associated a particular feature of the industrial plant. Additionally the method includes deriving contextual links between the nodes and the received request for data to identify levels of similarity between the nodes and the request for data. The method also includes ranking the nodes based on the identified levels of similarity.

Abstract: A method, an electronic device, and a computer readable medium for vulnerability detection are disclosed. The method includes receiving a request, from a computing device, for data associated with an industrial plant. The method also includes generating a session with the computing device. The method further includes gathering nodes from one or more servers associated with the industrial plant, wherein each of the nodes includes data associated a particular feature of the industrial plant. Additionally the method includes deriving contextual links between the nodes and the received request for data to identify levels of similarity between the nodes and the request for data. The method also includes ranking the nodes based on the identified levels of similarity.

Abstract: A method, an electronic device, and a computer readable medium for vulnerability detection are disclosed. The method includes generating a mapped dataset of a portion of an OPC UA server by mapping the portion of the server, wherein the server is compatible with OPC UA machine to machine (M2M) protocol communication including transport encodings and services. The method also includes identifying input test data to test the portion of the server based in part on the mapped dataset set in order to detect errors. The method further includes performing a plurality of targeted attacks by loading the input test data onto the portion of the server. In response to loading the input test data into the server, the method includes monitoring responses of the server to detect an error. Further, in response to detecting the error the method includes generating a report that indicates the detect error.