Device identification method, apparatus, and system
AssigneeHuawei Technologies Co., Ltd.
InventorsWeiwang Xu, Li Xue, Haonan Ye, Jian Cheng, Liang Zhang
Life of this patent
Estimating the term…
Abstract
A device identification method, apparatus, and system are provided. A management device or a collection device first determines a network traffic feature of a to-be-identified device based on a first dataset. The first dataset includes a plurality of pieces of first data, and each piece of first data includes a data amount of a data packet that is of the to-be-identified device and that is collected within one first periodicity. Then, the management device or the collection device determines a device type of the to-be-identified device based on a device identification model and the network traffic feature of the to-be-identified device.
Claims13
A device identification method, wherein the method comprises:
- determining a network traffic feature of a to-be-identified device based on a first dataset, wherein the first dataset comprises a plurality of pieces of first data, wherein each piece of first data comprises a data amount of a data packet that is related to the to-be-identified device and that is collected within a first periodicity, and wherein the data packet is a heartbeat packet having a packet length less than a target length threshold;
- and
- determining a device type of the to-be-identified device based on a device identification model and the network traffic feature of the to-be-identified device by inputting the network traffic feature of the to-be-identified device to the device identification model;
- wherein the device identification model is a machine learning model obtained through training based on network traffic features of a plurality of known devices of a known device type.
An apparatus, comprising:
- at least one processor;
- and
- at least one non-transitory computer-readable storage medium storing instructions and configured to execute the instructions to cause the apparatus to:
- determine a network traffic feature of a to-be-identified device based on a first dataset, wherein the first dataset comprises a plurality of pieces of first data, wherein each piece of first data comprises a data amount of a data packet that is related to the to-be-identified device and that is collected within a first periodicity, and wherein the data packet is a heartbeat packet having a packet length less than a target length threshold;
- and
- determine a device type of the to-be-identified device based on a device identification model and the network traffic feature of the to-be-identified device by inputting the network traffic feature of the to-be-identified device to the device identification model;
- wherein the device identification model is a machine learning model obtained through training based on network traffic features of a plurality of known devices of a known device type.
Dependencies are inferred from the claim text.