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Internet of Things and non-Internet of Things equipment identification method and system, terminal and readable storage medium

A technology for Internet of Things devices and Internet of Things devices, which is applied in the field of Internet of Things identification, can solve problems such as the inability to effectively identify Internet of Things devices and non-Internet of Things devices, and achieve the effect of reliable recognition results, high reliability, and high recognition accuracy

Pending Publication Date: 2022-05-13
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for newly added devices, none of the above three types of identification methods can effectively identify whether the newly added device is an IoT device or a non-IoT device

Method used

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  • Internet of Things and non-Internet of Things equipment identification method and system, terminal and readable storage medium
  • Internet of Things and non-Internet of Things equipment identification method and system, terminal and readable storage medium
  • Internet of Things and non-Internet of Things equipment identification method and system, terminal and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] A method for identifying an Internet of Things and a non-Internet of Things device provided in this embodiment includes the following steps:

[0065] S101: Extract features from network traffic, and establish an initial random forest model according to the extracted traffic features, protocol features, and label data.

[0066] Wherein, in this embodiment, the characteristics of the device are defined as: traffic characteristics and protocol characteristics, both of which are extracted from the network traffic of the device. In addition, the traffic characteristics in this embodiment include the number of packets of incoming traffic, outgoing traffic, and bidirectional traffic, the number of transmitted bytes, the number of types of packet lengths, the average value of packet lengths, variance, and entropy of packet lengths. Protocol features include the number of destination IP addresses, the number of IPv4 packets, the number of IPv6 packets, the number of TCP packets,...

Embodiment 2

[0103] This embodiment provides a system based on the above-mentioned Internet of Things and non-Internet of Things device identification method, which includes:

[0104] The feature extraction module is used to extract features of the device. It is used for feature extraction of original equipment or feature extraction of new equipment.

[0105] The identification model building block is used to construct the identification model of IoT and non-IoT devices based on the random forest model based on the extracted features and device labels. That is, as in Embodiment 1, use devices with known device labels (that is, known as IoT devices or non-IoT devices) as original samples, and use device features and device labels to train a random forest model to obtain a recognition model. Therefore, based on the identification model, it can be identified as an Internet of Things device or a non-Internet of Things device.

[0106] A model updating module, configured to update the random ...

Embodiment 3

[0111] The present invention provides an electronic terminal, which at least includes one or more processors and one or more memories; wherein, the memories store computer programs, and the processors call the computer programs to realize: an Internet of Things and the steps of the non-Internet of Things device identification method.

[0112] The specific implementation is:

[0113] Based on the extracted features and device labels, a random forest model-based identification model of the Internet of Things and non-Internet of Things devices is constructed; the device label is a classification label that the device is an Internet of Things device or a non-Internet of Things device, and the features include at least traffic characteristics ;

[0114] Perform feature extraction on newly added devices, and identify them as Internet of Things devices or non-Internet of Things devices based on the recognition model;

[0115] The random forest model is updated with traffic characte...

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Abstract

The invention discloses an Internet of Things and non-Internet of Things equipment identification method and system, a terminal and a readable storage medium. The identification of Internet of Things and non-Internet of Things equipment is realized through multiple improvements of feature extraction, representative equipment selection, model updating and feature reduction; wherein flow features and protocol features are extracted from network flow, and then an initial random forest model is established; feature extraction is carried out on newly-added equipment, representative equipment is selected from the newly-added equipment to be marked and verified and used for model updating, the importance of the model is judged based on feature reduction in the model updating process, and therefore unimportant features are deleted, and the recognition precision of the model is further improved. The method provided by the invention has a model automatic updating function, and can obtain higher equipment identification precision for newly added equipment.

Description

technical field [0001] The invention belongs to the technical field of Internet of Things identification, and in particular relates to an identification method, system, terminal and readable storage medium for Internet of Things and non-Internet of Things devices. Background technique [0002] At present, the rapid development of Internet of Things technology has brought various conveniences to daily life and industrial production, and also provided a broad market space for equipment manufacturers, Internet service providers and application developers. However, the development of IoT technology also brings various challenges to network management and network security. From the perspective of network management, network administrators usually need to know the number and types of IoT devices in the network to facilitate management, but a large number of IoT devices are difficult to manage, and some devices are still located in remote locations far away from the central facilit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N20/00G16Y20/20G16Y40/10G16Y40/50
CPCG06N20/00G16Y20/20G16Y40/10G16Y40/50G06F18/23G06F18/24323
Inventor 杨家海樊琳娜韩鹍李国朋耿君峰杨洋时晨刘晶武备王喆冉淏丹
Owner NAT UNIV OF DEFENSE TECH
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