Abstract: A method for reducing latencies associated with anomaly detection and response in an internet-of-things (IoT) device includes analyzing sensor data collected by the IoT device to evaluate various predefined anomaly criteria and dynamically assigning the IoT device a condition indicator based on the evaluation of the predefined anomaly criteria, where the condition indicator is indicative of detection or non-detection one or more potential anomalies. The method further provides for selectively implementing an IoT event prioritization scheme based on the dynamically-assigned condition indicator.

Abstract: A computer implemented method includes receiving a request for device validation, reading a genesis record from a device, the genesis record containing a device identification (ID), an original owner ID, a current owner ID, and a first hash of the device ID, an original owner ID, a current owner ID, and validating, by multiple processing entities having replicated copies of a chain that includes the genesis record and a succeeding transfer block, ownership of the device.

Abstract: Networked device management is based on an ontology graph which includes device nodes, physical facility nodes, and edges. The ontology graph may go beyond network topology by also documenting: relationships between devices and facilities, facility attributes such as facility-specific security scores, and device characteristics such as whether a device is recognized, whether it is authorized, and its mission criticality. Medical devices, physical condition sensors, and other internet of things devices, including those embedded in vehicles, those located on a vehicle, those used for industrial control, or those which are intermittently air-gapped, are managed. Devices may be discovered by extraction of identifications and characteristics from telemetry data in a staged architecture. Security postures may be assessed, and security recommendations based on device context may be provided.

Abstract: Networked device management is based on an ontology graph which includes device nodes, physical facility nodes, and edges. The ontology graph may go beyond network topology by also documenting: relationships between devices and facilities, facility attributes such as facility-specific security scores, and device characteristics such as whether a device is recognized, whether it is authorized, and its mission criticality. Medical devices, physical condition sensors, and other internet of things devices, including those embedded in vehicles, those located on a vehicle, those used for industrial control, or those which are intermittently air-gapped, are managed. Devices may be discovered by extraction of identifications and characteristics from telemetry data in a staged architecture. Security postures may be assessed, and security recommendations based on device context may be provided.

Abstract: A method for reducing latencies associated with anomaly detection and response in an internet-of-things (IoT) device includes analyzing sensor data collected by the IoT device to evaluate various predefined anomaly criteria and dynamically assigning the IoT device a condition indicator based on the evaluation of the predefined anomaly criteria, where the condition indicator is indicative of detection or non-detection of one or more potential anomalies. The method further provides for selectively implementing an IoT event prioritization scheme based on the dynamically-assigned condition indicator.

Abstract: A method for reducing latencies associated with anomaly detection and response in an internet-of-things (IoT) device includes analyzing sensor data collected by the IoT device to evaluate various predefined anomaly criteria and dynamically assigning the IoT device a condition indicator based on the evaluation of the predefined anomaly criteria, where the condition indicator is indicative of detection or non-detection one or more potential anomalies. The method further provides for selectively implementing an IoT event prioritization scheme based on the dynamically-assigned condition indicator.