Abstract: Disclosed are various embodiments for identifying devices that are part of a network. Devices are modeled based on physical characteristics. Devices are classified or device communications can be verified.

Abstract: There is provided a method including: during a training period, collecting a plurality of scan cycle times of a programmable logic controller (PLC) program executing on a PLC; calculating one or more baseline parameters based on the plurality of scan cycle times; determining a baseline PLC program signature based on the one or more baseline statistical parameters; and storing the baseline PLC program signature.

Abstract: Disclosed are various embodiments for identifying devices that are part of a network. Devices are modeled based on physical characteristics. Devices are classified or device communications can be verified.

Abstract: There is provided a method including: during a training period, collecting a plurality of scan cycle times of a programmable logic controller (PLC) program executing on a PLC; calculating one or more baseline parameters based on the plurality of scan cycle times; determining a baseline PLC program signature based on the one or more baseline statistical parameters; and storing the baseline PLC program signature.

Abstract: Disclosed are various embodiment's for fingerprinting devices that are part of a network. A network monitoring device monitors traffic between devices in the network. A fingerprint is generated based upon response times of the devices in the network. Embodiment's of the present disclosure provide for device fingerprinting in cyber-physical system, such as a control system environment. Embodiment's of the present disclosure can be used in conjunction with traditional intrusion detection system (IDS) in a control systems environment. Embodiment's of the present disclosure can be used to achieve device fingerprinting from software, hardware, and physics-based perspectives. Embodiment's of the present disclosure can prevent security compromises by accurately fingerprinting devices in a control system environment, and other networked environments, as may be appreciated. Embodiment's of the present disclosure can generate fingerprints of a device which reflects identifiable characteristics of a device, such as, e.