Internet of things and operational technology detection and visualization platform
| DWPI Title: Method for monitoring activity of e.g. smart glass in network environment to assess potential risks to home network, involves determining number of risk indicators for privacy risks according to device communication within network |
| Abstract: A computer-implemented method of monitoring activity of devices in a network is provided. The method comprises passively collecting data regarding how the devices access the network, and for each device on the network, identifying all other devices on the network with which the device communicates. All communication traffic from the devices to outside the network is identified. A determination is made if there are any required updates and if patches for the devices execute in a fashion defined as safe. A number of risk indicators for privacy risks are determined according to device communication within the network, device communication to outside the network, and update and patch execution. A visualization of any identified risk factors is displayed to a user through a user interface. |
| Use: Method for monitoring activity of devices i.e. internet of things (IoT) device, such as a smart device e.g. smart glass, a camera, smart appliance, or operational technology (OT) type devices e.g. remote terminal unit (RTU), intelligent electronic device (IED) or sensors in network environment to assess potential risks to home network. |
| Advantage: The method enables utilizing a MongoDB to limit frequency of data collection to an extent that is optimal for the data and retrieval requirement, integrating devices across homes e.g. stoves, clocks, and refrigerators and connecting the devices to the home network in an effective manner without understanding and considering the risk to privacy and device operation, saving searches in Splunk so as to reduce need to modify data retrievals, and allowing the user to select an individual device in network and obtain descriptive information in an easy manner based on a variable device description template according to user requirements. |
| Novelty: The method (500) involves passively collecting data regarding how devices access a network (502). Other devices are identified (504) on the network with which the device communicates on the network. Communication traffic from the devices to outside the network is identified (506). A number of risk indicators for privacy risks is determined (510) according to device communication within the network, device communication to outside the network, and update and patch execution. A visualization of any identified risk factors is displayed (512) to a user through a user interface. |
| Filed: 11/18/2020 |
| Application Number: US16951904A |
| Tech ID: SD 15016.1 |
| This invention was made with Government support under Contract No. DE-NA0003525 awarded by the United States Department of Energy/National Nuclear Security Administration. The Government has certain rights in the invention. |
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