SCEPTRE

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An emulation capability for Industrial Control Systems

View the Project on GitHub sandialabs/sceptre-docs

  • Cluster Configuration
  • Networking
  • Adding/Removing a Compute Node
  • minimega
  • Workflow
  • State of Health
  • The SCEPTRE User App
  • SCEPTRE Field Device User Guide
  • bennu
  • Modifying an VM Images (.qc2)
  • Hardware-in-the-Loop
  • Acronyms
  • Quick Start Guide
  • The SCEPTRE User App

    The SCEPTRE user App provides a means for adding ICS specific details to a topology. The app helps

    Ultimately, the app generates configuration files and start up scripts so that upon experiment start up, all the ICS components are automatically configured and started up on boot of the VMs, creating an environment for the user free of manual start up steps. Without the SCEPTRE app, phēnix can still be used to create topologies or orchestrate VM deployment, however your experiment will either not have any ICS components or you will have to hardcode these components into your VMs.

    Components of SCEPTRE

    SCEPTRE Diagram

    This diagram is a high-level depiction of a typical SCEPTRE experiment deployed by phēnix. It abstracts away any hardware and some networking details (physical and virtual) to present a simplified view of the experiment construct.

    The large grey boxes represent a conceptual partition of the experiment layout. The 2 partitions are

    1. Simulation
    2. Control System

    Simulation Partition

    The simulation partition handles simulation of the physical process and the initial distribution of process data to the control system. It has 2 components: the solver and the provider. The solver generates physical process state data by, for example, numerically integrating a dynamic systems model from an initial condition. The solver also updates state data whenever it receives control system updates. The provider acts as an interface that enables the solver to receive and transmit data to and from the control system. The provider communicates to the control system via UDP multicast traffic over ZMQ sockets. Field device communication with the provider occurs over TCP using ZMQ sockets.

    SCEPTRE’s management network MGMT is used to move purely simulated data from the simulated physical process model to the SCEPTRE field devices that are monitoring and controlling the process. The MGMT network operates in the 172.16.0.0/16 address space. All the following connections are on the MGMT network and are not visible “in-game”.

    Port Description
    40000 provider --> field device published data is sent to field devices
    5555 field device --> provider upstream data transfer connection: registration, updates
    22 SSH port for connecting to devices for troubleshooting and updates

    Currently SCEPTRE supports integration with PowerWorld, PyPower, and MATLAB Simulink.

    Control System Partition

    The control system partition represents the emulated control system network. The network traffic seen on all the links contained within the control system partition emulates the traffic that would been seen on a real physical control network with the same topology as in the experiment.

    Field Devices

    From the point of view of the control system, the MGMT connection from the provider to field devices (such as RTUs or PLCs) is analogous to retrieving sensor data for a device on a physical plant. Thus, a field device gets simulated plant data from a MGMT connection. Likewise, a field device sends control system updates to the simulated plant through another MGMT connection.

    Additionally, a field device will send data upstream to other control system devices via various SCADA protocols. Since this traffic emulates the traffic that is seen in the real control network, this traffic traverses the EXP network. The SCADA protocols modeled in SCEPTRE use standard ports for communications and include:

    Port Protocol Description
    5413 Suite Link Communication between the SCADA server and the OPC server used by SCADA software
    502 ModbusTCP TCP/IP variant of the Modbus protocol to communicate between SCADA systems and field devices
    20000 DNP3 Distributed Network Protocol used to communicate between SCADA systems and field devices
    2404 IEC 60870-5-104 Network transmission protocol for SCADA control of automated systems
    4840 OPC UA Communication between the OPC server and a SCADA server
    32568 Suite Link Used for communication between historian machines for replications (applies to certain SCADA software)

    Additional SCADA protocols can be integrated into SCEPTRE by including the appropriate protocol stack in the bennu codebase.

    OPC

    A control process could contain different hardware endpoints, each potentially using different hardware communication protocols. A device is needed to translate/convert the various protocols into a common protocol used by other services, such as a Human Machine Interface (HMI). This conversion device is known as an OPC server (Object Linking and Embedding for Process Control or more recently Open Platform Communications). An OPC server converts hardware communication protocols used by various control process endpoints into a single OPC protocol.

    The OPC server listens to all of the RTUs and maps their addresses, names, values and other parameters to a generic object, or ‘tag’. This tag, or reference, is how the HMI interacts with the RTUs. Much of this configuration is automated via the SCEPTRE app, making it easier for the user.

    Currently, the SCEPTRE app uses TOP Server for the OPC server. However, other software packages can be used instead. Adding these other options to the SCEPTRE app is as easy as understanding how the desired software package is configured and automating the generation of the appropriate configuration file and creating a new start up script to start the right software package.

    SCADA Server

    A SCADA server acts as the centralized unit of control in ICSs. It “serves” data from the OPC server to other devices such as Human Machine Interfaces (HMIs). The SCADA server configuration is dependent on the successful configuration of the OPC server. Manually changing a name or address on the OPC server will have a ripple effect, resulting in the HMI displaying inaccurate information.

    The SCADA server configuration usually requires some sort of graphical display of the system. Graphical display creation is difficult to fully automate, thus the SCEPTRE app requires that a user has already created this graphical display of the system.

    Currently, the SCEPTRE app uses mySCADA for the SCADA server. However, other software packages can be used instead. Adding these other options to the SCEPTRE app is as easy as understanding how the desired software package is configured and automating the generation of the appropriate configuration file and creating a new start up script to start the right software package.

    Human-Machine Interface (HMI)

    An HMI client simply displays the live display of the status of the system as configured by the SCADA server.

    In SCEPTRE, the HMI is dependent upon the SCADA server. Using the mySCADA software for the SCADA server, the HMI simply displays the HMI through http in a web browser. However, other software packages can be used instead. Adding these other options to the SCEPTRE app is as easy as understanding how associated SCADA server software is configured and a new startup script to query the state of the SCADA server.

    Data historian

    A data historian is a centralized database for logging all information within and ICS environment. Unlike the OPC or SCADA server which contain only the current snapshot of the system, the historian temporally logs data over time and is therefore used for activities such as database queries, trend analysis, and other advanced analysis.

    Currently, the SCEPTRE app uses Wonderware Historian for the data historian. However, other software packages can be used instead. Adding these other options to the SCEPTRE app is as easy as understanding how the desired software package is configured and automating the generation of the appropriate configuration file and creating a new start up script to start the right software package.

    Engineer Workstation

    An engineer workstation is a machine periodically used to program field devices.

    In SCEPTRE, the engineer workstation if configured so that it can access field devices via putty.

    Usage

    The SCEPTRE app is configured by specifying the desired configurations in a scenario configuration file. The following metadata fields are associated with each type of device.

    Provider

    Field-Device

    OPC Server

    SCADA Server

    HMI

    Data historian

    Engineer Workstation

    Example

    The following is an example of how the SCEPTRE app. In this example, there is one physical process provider of a water way lock. There are two RTUs that monitor the lock and open/close gates based on logic defined in the config file. The OPC server monitors these two RTUs and then rest of the upstream SCADA software monitors and displays the data from the OPC server.

    - name: sceptre
      assetDir: /phenix/topologies/waterway
      hosts:        
      - hostname: simulink-provider
    	metadata:
    	  gt: /phenix/topologies/waterway/injects/simulinkgt
    	  gt_template: /phenix/topologies/waterway/injects/main.tmpl
    	  publish_endpoint: udp://*;239.0.0.1:40000
    	  publish_points: /phenix/topologies/waterway/injects/publishPoints.txt
    	  simulator: Simulink
    	  solver: /phenix/topologies/waterway/injects/simulinksolver
    	  type: provider
      - hostname: rtu-1
    	metadata:
    	  modbus:
    	  - name: lowerwater 
    		type: water
    	  - name: lock
    		type: water
    	  - name: lowergate
    		type: gate
    	  - name: lowervalve
    		type: valve
    	  - name: lowersensor
    		type: boat-sensor
    	  - name: locksensor
    		type: boat-sensor
    	  infrastructure: waterway 
    	  logic: lowergate.open = 1*((lowersensor.direction == 1) && (lowersensor.active == 1) && (lock.height >= lowerwater.height - 0.1) && (lock.height <= lowerwater.height + 0.1)) + 0*((locksensor.direction == 1) && (locksensor.active == 1) && (lock.height >= lowerwater.height - 0.1) && (lock.height <= lowerwater.height + 0.1)) + 1*((locksensor.direction == -1) && (locksensor.active == 1) && (lock.height >= lowerwater.height - 0.1) && (lock.height <= lowerwater.height + 0.1)) + 0*((lowersensor.direction == -1) && (lowersensor.active == 1)); lowervalve.open = 1*((lowersensor.direction == 1) && (lowersensor.active == 1) && (lock.height > lowerwater.height)) + 0*((locksensor.direction == 1) && (locksensor.active == 1) && (lock.height >= lowerwater.height)) + 1*((locksensor.direction == -1) && (locksensor.active == 1) && (lock.height > lowerwater.height)) + 0*((lowersensor.direction == -1) && (lowersensor.active == 1))
    	  provider: simulink-provider
    	  type: fd-server    
      - hostname: rtu-2
    	metadata:
    	  modbus:
    	  - name: upperwater 
    		type: water
    	  - name: lock
    		type: water
    	  - name: uppergate
    		type: gate
    	  - name: uppervalve
    		type: valve
    	  - name: uppersensor
    		type: boat-sensor
    	  - name: locksensor
    		type: boat-sensor
    	  infrastructure: waterway 
    	  logic: uppergate.open = 1*((locksensor.direction == 1) && (locksensor.active == 1) && (lock.height >= upperwater.height - 0.1) && (lock.height <= upperwater.height + 0.1)) + 0*((uppersensor.direction == 1) && (uppersensor.active == 1)) + 1*((uppersensor.direction == -1) && (uppersensor.active == 1) && (lock.height >= upperwater.height - 0.1) && (lock.height <= upperwater.height + 0.1)) + 0*((locksensor.direction == -1) && (locksensor.active == 1) && (lock.height >= upperwater.height - 0.1) && (lock.height <= upperwater.height + 0.1)); uppervalve.open = 1*((locksensor.direction == 1) && (locksensor.active == 1) && (lock.height < upperwater.height)) + 0*((uppersensor.direction == 1) && (uppersensor.active == 1)) + 1*((uppersensor.direction == -1) && (uppersensor.active == 1) && (lock.height < upperwater.height)) + 0*((locksensor.direction == -1) && (locksensor.active == 1) && (lock.height >= upperwater.height - 0.1) && (lock.height <= upperwater.height + 0.1))
    	  provider: simulink-provider
    	  type: fd-server
      - hostname: opc
    	metadata:
    	  connected_rtus:
    	  - rtu-1
    	  - rtu-2
    	  type: opc
      - hostname: scada-server
    	metadata:
    	  automation: /phenix/topologies/waterway/injects/myscada.exe
    	  project: /phenix/topologies/waterway/injects/waterway.mep
    	  type: scada-server
      - hostname: hmi
    	metadata:
    	  type: hmi   
      - hostname: historian
    	metadata:
    	  type: historian
    

    Debugging

    If using the SCEPTRE app correctly, the startup of all VMs in your experiment should be automated. If your experiment is not operating as expected, there are some things to start verifying:

    1. Start by verifying the SCEPTRE app created the appropriate config files and startup scripts. These files are located in /phenix/experiments/<exp_name>/sceptre.
    2. Verify the files generated by the SCEPTRE app were injected into the VMs. Looking at /phenix/experiments/<exp_name>/mm_files/<exp_name>.mm to see the location of the injects on each VM.
    3. If the injects exist on the VM, run the start up scripts manually to help debug. On Linux VMs, the start up scripts are located under /etc/phenix/startup and on Windows VMs the start up scripts C:\phenix\startup