Malware and anomaly detection via activity recognition based on sensor data
US9319423B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 4, 2013 |
| Grant date | Apr 19, 2016 |
| Priority date | — |
| Expiry date | May 14, 2034 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/68
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system for malware and anomaly detection via activity recognition based on sensor is disclosed. The system may analyze sensor data collected during a selected time period from one or more sensors that are associated with a device. Once the sensor data is analyzed, the system may determine a context of the device when the device is in a connected state. The system may determine the context of the device based on the sensor data collected during the selected time period. The system may also determine if traffic received or transmitted by the device during the connected state is in a white list. Furthermore, the system may transmit an alert if the traffic is determined to not be in the white list or if the context determined for the device indicates that the context does not correlate with the traffic.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.