Abstract: Techniques for detecting anomalous behavior of an Internet-of-Things (IoT) device in an IoT network. IoT events of an IoT device are captured and analyzed to identify periodic activities of the IoT device. The periodic activities of the IoT device are tracked over time, and variations in the periodic activities are analyzed to assess potential threats to the IoT network.
Abstract: Techniques for assessing risks of IoT devices. A system utilizing such techniques can include a packet analysis based IoT device risk assessment system and an IoT device risk assessment system. A method utilizing such techniques can include extraction of IoT device risk factors from a device profile of an IoT device and application of assessment weights to the IoT device risk factors to assess a risk level of an IoT device.
Abstract: Techniques for assessing risks of IoT device. A system utilizing such techniques can include a packet analysis based IoT device risk assessment system and an IoT device risk assessment system. A method utilizing such techniques can include extraction of IoT device risk factors from a device profile of an IoT device and application of assessment weights to the IoT device risk factors to assess a risk level of an IoT device.
Abstract: Techniques for grouping and labeling Internet of Things (IoT) devices are disclosed. In accordance with an aspect of the invention, there is provided a computer program product configured to be operable to perform the techniques described in this paper to enable grouping and labeling of IoT devices. As devices are grouped and labeled, and behavior is matched to or deviates from known or expected behavior, the network can be more readily understood and alerts can be more timely and appropriate.
Type:
Application
Filed:
February 12, 2018
Publication date:
May 2, 2019
Applicant:
ZingBox, Inc.
Inventors:
Jun Du, Gong Cheng, Yilin Zhao, Pui-Chuen Yip
Abstract: Techniques for visualizing IoT device management. A system utilizing such techniques can include an IoT device risk assessment system and an IoT device management visualization system. A method utilizing such techniques can include grouping IoT devices into an IoT device dimension group based on IoT device dimensions defining the group and controlling presentation of management data for the IoT devices based on the grouping of the IoT devices into the IoT device dimension group.