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 of controlling tunneling in a communication network of an industrial process facility including a client computer and server computer running different communication protocols coupled by the communication network. The method includes providing the client and server computer with a processor connected to a memory. The processor implements a tunneling reliability program including a training model including labeled groups representing reliability data and security data determined from data sources received across the communication network and a learning classifying algorithm for classifying the reliability data and security data as being reliable or not reliable. The processor determines if the communication network is reliable based on the classified reliability data and security data. In response to determining that the communication network is not reliable or secure a notification is generated for a user that the communication network is not reliable and the notification is transmitted to the user.

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.