Abstract: A system includes reception of data at a computing network, generation of alerts at the computing network based on received data and on cyber sensor data, the cyber sensor data defining data attribute, reception of alerts from the computing network at a defense engine, detection of events based on the received alerts at the defense engine, generation threat data based on the detected events, generation of first cyber sensor data based on the threat data, and initiation of deployment of the first cyber sensor data within the computing network.

Abstract: A device comprises a processor. The processor is configured to generate a first signal using a first communication protocol. The first signal corresponds to data received by the processor. The processor is configured to generate a second signal using a second communication protocol. The second signal comprises fabricated data generated by the processor. Additionally, the processor is configured to transmit the first signal. The processor is also configured to transmit the second signal.

Abstract: A system includes reception of data at a computing network, generation of alerts at the computing network based on received data and on cyber sensor data, the cyber sensor data defining data attribute, reception of alerts from the computing network at a defense engine, detection of events based on the received alerts at the defense engine, generation threat data based on the detected events, generation of first cyber sensor data based on the threat data, and initiation of deployment of the first cyber sensor data within the computing network.

Abstract: A system includes a first computing device to (a) determine a first command conforming to an industrial control protocol and transmitted to a second computing device on a first computing network; (b) determine whether a second command corresponding to the first command was detected by a third computing device of a second computing network; (c) determine whether the first command was transmitted from one of one or more predetermined Internet Protocol subnets; (d) determine whether the command was issued by an expected issuing device; (e) determine whether the command was issued by an expected issuing software application; and determine a validity score based on determinations (b) through (e) and associate the validity score with the command.

Abstract: A device comprises a processor. The processor is configured to generate a first signal using a first communication protocol. The first signal corresponds to data received by the processor. The processor is configured to generate a second signal using a second communication protocol. The second signal comprises fabricated data generated by the processor. Additionally, the processor is configured to transmit the first signal. The processor is also configured to transmit the second signal.

Abstract: A device comprises a processor. The processor is configured to generate a first signal using a first communication protocol. The first signal corresponds to data received by the processor. The processor is configured to generate a second signal using a second communication protocol. The second signal comprises fabricated data generated by the processor. Additionally, the processor is configured to transmit the first signal. The processor is also configured to transmit the second signal.

Abstract: A device comprises a processor. The processor is configured to generate a first signal using a first communication protocol. The first signal corresponds to data received by the processor. The processor is configured to generate a second signal using a second communication protocol. The second signal comprises fabricated data generated by the processor. Additionally, the processor is configured to transmit the first signal. The processor is also configured to transmit the second signal.

Abstract: Systems, methods and apparatus are provided through which in some embodiments healthcare imaging processing applications are allocated to computing resources in reference to criteria.

Abstract: A data processing technique is provided. In one embodiment, a method includes crawling a network via a computing device to access patient data from a plurality of medical resources coupled to the network. The medical resources may include various imaging systems, computers, databases, patient monitors, and other medical devices and systems. The method may also include populating a searchable index of patient data accessed from at least a first medical resource of the plurality of medical resources, and storing the searchable index in a memory device to facilitate user-searching of the patient data via the searchable index. In one embodiment, the patient data includes either or both of DICOM data and HL7 data. Additional methods, systems, and devices are also disclosed.

Abstract: An integrated weight sensing system and method is disclosed for a medical imaging system. In one embodiment, the integrated weight sensing system may include a table assembly, a load cell, and a processor that are implemented in a medical imaging system. The table assembly includes a lifting mechanism used to position a patient within the medical imaging system. The load cell is mechanically coupled to the table assembly and in communication with the processor. The load cell is configured to measure and indicate the weight of the patient and the processor may be configured to adjust imaging parameters based on the weight of the patient. The table assembly may include a device in communication with the load cell and/or processor to display the weight of the patient. Additionally, the table assembly and/or the processor may include an interface for zeroing or recalibrating the load cell.

Abstract: An integrated weight sensing system and method is disclosed for a medical imaging system. In one embodiment, the integrated weight sensing system may include a table assembly, a load cell, and a processor that are implemented in a medical imaging system. The table assembly includes a lifting mechanism used to position a patient within the medical imaging system. The load cell is mechanically coupled to the table assembly and in communication with the processor. The load cell is configured to measure and indicate the weight of the patient and the processor may be configured to adjust imaging parameters based on the weight of the patient. The table assembly may include a device in communication with the load cell and/or processor to display the weight of the patient. Additionally, the table assembly and/or the processor may include an interface for zeroing or recalibrating the load cell.

Abstract: Systems, methods and apparatus are provided through which in some embodiments healthcare imaging processing applications are allocated to computing resources in reference to criteria.