CN106714225A - Method and system for identifying network device and intelligent terminal - Google Patents
Method and system for identifying network device and intelligent terminal Download PDFInfo
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- CN106714225A CN106714225A CN201710034095.2A CN201710034095A CN106714225A CN 106714225 A CN106714225 A CN 106714225A CN 201710034095 A CN201710034095 A CN 201710034095A CN 106714225 A CN106714225 A CN 106714225A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/22—Parsing or analysis of headers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
Abstract
The invention discloses a method and a system for identifying a network device and an intelligent terminal. The method for identifying the network device comprises the steps of S1, generating a classification model of each type of the network device based on network behavior information of multiple preset network devices in different types when each network device performs network communication through WIFI, wherein the network behavior information comprises network packet information and/or signal intensity information; S2, obtaining the network behavior information of a to-be-identified network device when performing network communication through WIFI; S3, classifying the network behavior information of the to-be-identified network device based on the classification model of each type of the trained network device; and S4, identifying the type of the to-be-identified network device based on the classification result. According to the technical scheme, the type of the to-be-identified network device can be identified precisely when network connection is not built between the to-be-identified network device and a server. In addition, the whole identification process does not affect normal communication of each network device in a wireless network.
Description
Technical field
The present invention relates to communication technical field, the more particularly to recognition methods of the network equipment and its system, intelligent terminal.
Background technology
With the development of mobile terminal and internet, increasing people like using terminal (such as mobile phone, panel computer,
Notebook etc.) internet is accessed by way of wireless network to obtain various information, user can enjoy what is more enriched
Mobile Internet business and the applications such as game, amusement, audio-visual, Community Group, increasing new business and application need terminal
Support and adaptation.
Because the type of the network equipment is different, therefore in order to correctly match resource to the network equipment, it is necessary to first be set to network
Standby type is identified.In the prior art, it is the type of the identification network equipment, server can send out to the network equipment to be identified
Identification is sent to ask, the network equipment to be identified sends HTTP (Hypertext transfer to server
Protocol, HTTP) message, wherein, HTTP message head carries user agent (User Agent, abbreviation UA) information field and uses
To identify the type of the network equipment.Server is based on the type that user agent's information field is the recognizable network equipment.
However, existing RM needs to rely on internet, and only set up network company in the network equipment and server
After connecing, the type of the network equipment could be recognized, therefore recognition speed is slower, and recognition accuracy is relatively low.
The content of the invention
It is contemplated that at least solving one of technical problem present in prior art, it is proposed that a kind of knowledge of the network equipment
Other method and its system, intelligent terminal.
To achieve the above object, the invention provides a kind of recognition methods of the network equipment, including：
Step S1, according to some different types of network equipment that pre-sets, it carries out network service each via WIFI
When network behavior information, generate the disaggregated model of all types of network equipments, the network behavior information includes：Network
Package informatin and/or signal strength information；
Step S2, obtain network behavior information when the network equipment to be identified carries out network service by WIFI；
The disaggregated model of all types of network equipment that step S3, basis are trained is to the network equipment to be identified
Network behavior information classified；
Step S4, according to classification results, recognize the type of the network equipment to be identified.
Alternatively, also included before step S1：
Step S1a, some different types of network equipment that pre-sets of acquisition its carry out network each via WIFI and lead to
The wireless signal of broadcast during letter；
Step S1b, the wireless signal to getting are processed, logical with all types of network equipment of the signal for obtaining
The network package informatin and the signal strength information that WIFI is crossed when carrying out network service.
Alternatively, the step S1 includes：
Step S101, the network behavior information to all types of network equipments carry out feature extraction, obtain each
The network behavior feature of the network equipment of type；
Step S102, the network behavior feature to all types of network equipments are trained, all kinds of to obtain
The disaggregated model of the network equipment of type.
Alternatively, when the network behavior packet contains the network package informatin, the network behavior feature includes：
The average duration of network connection, network connection number of times, network access frequency, the size of upstream data amount in predetermined period, under
At least one of size of row data volume.
Alternatively, when the network behavior packet contains the signal strength information, the network behavior feature bag
Include：Change in signal strength waveform.
Alternatively, the network behavior feature is carried out using SVMs method or logistic regression in step s 102
Training, to obtain the disaggregated model of all types of network equipments.
Alternatively, the network package informatin includes：Source MAC, destination-mac address, the type of network bag, network bag
At least one of size, network bag acquisition time.
To achieve the above object, present invention also offers a kind of identifying system of the network equipment, including：
Disaggregated model generation module, for according to some different types of network equipment that pre-sets its each via
WIFI carries out network behavior information during network service, generates the disaggregated model of all types of network equipments, the network
Behavioural information includes：Network package informatin and/or signal strength information；
First acquisition module, believes for obtaining the network behavior when network equipment to be identified carries out network service by WIFI
Breath；
Sort module, the disaggregated model of all types of network equipment trained for basis is to the net to be identified
The network behavior information of network equipment is classified；
Identification module, for according to classification results, determining the type of the network equipment to be identified.
Alternatively, also include：
Second acquisition module, for obtaining some different types of network equipment for pre-setting, it enters each via WIFI
The wireless signal of broadcast during row network service；
Signal processing module, it is all types of with the signal for obtaining for processing the wireless signal for getting
The network equipment carries out the network package informatin and the signal strength information during network service by WIFI.
Alternatively, the disaggregated model generation module includes：
Feature extraction unit, carries out feature and carries for the network behavior information to all types of network equipments
Take, obtain the network behavior feature of all types of network equipments；
Features training unit, is trained for the network behavior feature to all types of network equipments, obtains
To the disaggregated model of all types of network equipments.
Alternatively, when the network behavior packet contains the network package informatin, the network behavior feature includes：
The average duration of network connection, network connection number of times, network access frequency, the size of upstream data amount in predetermined period, under
At least one of size of row data volume.
Alternatively, when the network behavior packet contains the signal strength information, the network behavior feature bag
Include：Change in signal strength waveform.
Alternatively, the features training unit uses SVMs method or logistic regression to the network behavior feature
It is trained, to obtain the disaggregated model of all types of network equipments.
Alternatively, the network package informatin includes：Source MAC, destination-mac address, the type of network bag, network bag
At least one of size, network bag acquisition time.
To achieve the above object, present invention also offers a kind of intelligent terminal, including：The identifying system of the network equipment, institute
The identifying system of the network equipment is stated using the identifying system of the above-mentioned network equipment.
Alternatively, the intelligent terminal is intelligent television or Intelligent set top box.
The invention has the advantages that：
The invention provides a kind of recognition methods of network equipment and its system, intelligent terminal, including：Step S1, basis
The some different types of network equipment for pre-setting its network behavior information when carrying out network service each via WIFI, it is raw
Into the disaggregated model of all types of network equipments, network behavior information includes：Network package informatin and/or signal strength information；Step
Rapid S2, obtain network behavior information when the network equipment to be identified carries out network service by WIFI；Step S3, basis are trained
The disaggregated model of all types of network equipments network behavior information of the network equipment to be identified is classified；Step S4, root
According to classification results, the type of the network equipment to be identified is recognized.Technical scheme can be in the network equipment to be identified and service
In the case that device does not set up network connection, the type of the network equipment to be identified can precisely be recognized.Additionally, whole identification
Process does not interfere with the proper communication of each network equipment in wireless network yet.
Brief description of the drawings
Fig. 1 is a kind of flow chart of the recognition methods of network equipment that the embodiment of the present invention one is provided；
Fig. 2 is a kind of flow chart of the recognition methods of network equipment that the embodiment of the present invention two is provided；
Fig. 3 is a kind of structural representation of the identifying system of network equipment that the embodiment of the present invention three is provided.
Specific embodiment
To make those skilled in the art more fully understand technical scheme, the present invention is carried below in conjunction with the accompanying drawings
A kind of recognition methods of the network equipment for supplying and its system, intelligent terminal are described in detail.
Fig. 1 is a kind of flow chart of the recognition methods of network equipment that the embodiment of the present invention one is provided, as shown in figure 1, should
The recognition methods of the network equipment includes：
Step S1, according to some different types of network equipment that pre-sets, it carries out network service each via WIFI
When network behavior information, generate the disaggregated model of all types of network equipments.
Wherein, network behavior information includes：Network package informatin and/or signal strength information.In the present embodiment, with network row
It is that information includes illustrative as a example by network package informatin and signal strength information.
Further, network package informatin includes：Source MAC, destination-mac address, the type of network bag, network bag it is big
At least one of small, network bag acquisition time.
It should be noted that " some different types of network equipment for pre-setting " refers to have known in advance in the present invention
Know the network equipment of its type, for example：Panel computer, notebook computer, mobile phone, desktop computer, intelligent watch, intelligent air purifying
Device etc. has wireless network card, and the equipment that can carry out WIFI communications.These are it is known that the network equipment of its type is all connected with
To same wireless router.
In step sl, can according to these it is known that the network behavior information of the network equipment of its type is used as sample,
These are obtained it is known that the disaggregated model of the network equipment of type.Specifically, step S1 includes：
Step S101, the network behavior information to all types of network equipments carry out feature extraction, obtain all types of nets
The network behavior feature of network equipment.
Wherein, network behavior feature is specifically included：The average duration of network connection, network connection number of times, network access frequency,
At least one of size, the size of downlink data amount, change in signal strength waveform of upstream data amount.For example, according to network
The quantity of bag acquisition time and network bag can obtain the average duration of network connection of the type network equipment in predetermined period, net
The features such as network connection number of times, network access frequency.Source MAC and destination-mac address in network bag, you can know net
Network bag is uplink traffic or downlink traffic (if destination-mac address is wireless router, then it represents that the network bag corresponds to up
Flow；If destination-mac address is the network equipment, then it represents that the network bag corresponds to downlink traffic), it is then based on the big of network bag
It is small, then can obtain the size of upstream data amount of the type network equipment in predetermined period and the size of downlink data amount.Root
Changed with time according to signal strength information can generate the type network equipment in the change in signal strength in predetermined period
Waveform.
It should be noted that in actual life, the service condition of heterogeneous networks equipment is different.For example：Due to
User carries with mobile phone and can often go out, and clarifier typically all only can be placed on family, then the network connection number of times meeting of mobile phone
It is relatively many, and the network connection number of times of clarifier is relatively fewer.Because mobile phone can be moved often, desktop computer will not be moved often
Dynamic, then the change in signal strength of mobile phone is more frequent, and the signal intensity of desktop computer is held essentially constant.Because mobile phone uses frequency
Rate is (uses of multiple different applications) higher, and the frequency of use of panel computer is relatively low (being used for seeing that video is more), then mobile phone correspondence
The downlink network bag duration it is short, measure small, the panel computer corresponding downlink network bag duration is long and amount is big.
As can be seen here, disparate networks equipment can be classified to a certain extent based on features described above.
Step S102, the network behavior feature to all types of network equipments are trained, to obtain all types of networks
The disaggregated model of equipment.
In a step 102 according to existing any one sorting algorithm come the network row to the above-mentioned all types of network equipment
It is characterized and is trained, obtains the disaggregated model of all types of network equipments.In the present embodiment, alternatively, using support to
Amount machine (Support Vector Machine, abbreviation SVM) method or logistic regression (Logistic Regression, abbreviation LR)
Method is trained to network behavior feature, to obtain the disaggregated model of all types of network equipments.
Step S2, obtain network behavior information when the network equipment to be identified carries out network service by WIFI.
In step s 2, the network package informatin and signal during network service can be carried out by WIFI to the network equipment to be identified
Strength information.
It should be noted that when the network equipment to be identified carries out network service by WIFI, can be incited somebody to action by the way of broadcast
Network bag is sent to wireless router, then carries out follow-up route by wireless router.Therefore, in the present invention, it is only necessary in nothing
The corresponding acquisition module of neighbouring setting of line router, you can get the WIFI signal that the network equipment to be identified sends, pass through
The WIFI signal is processed, you can obtain corresponding network package informatin and signal strength information.
Network row of the disaggregated model of all types of network equipment that step S3, basis are trained to the network equipment to be identified
For information is classified.
In step s3, the network behavior information that carries out of the network equipment to be identified for being got to step S2 carries out feature and carries
Take, and disaggregated model using all types of network equipments is identified to it, so as to can determine that the net of the network equipment to be identified
Network behavioural information generic.
It should be noted that the technology for using disaggregated model to classify information is the state of the art, specifically
Process is not be described in detail herein.
Step S4, according to classification results, recognize the type of the network equipment to be identified.
In step s 4, the network behavior information generic according to the network equipment to be identified, you can learn recognizing and wait to know
The type of the other network equipment.
It should be noted that in the present embodiment, the quantity as the network equipment for knowing its type of sample is more, carries
The species that the network behavior feature for taking is included is more, then the disaggregated model for obtaining is finer, and final recognition result is also more smart
It is accurate.
Visible by above-mentioned steps S1~step S4, technical scheme can be in the network equipment to be identified and server
In the case of not setting up network connection, the type of the network equipment to be identified can precisely be recognized.Additionally, entirely recognizing
Journey does not interfere with the proper communication of each network equipment in wireless network yet.
Fig. 2 is a kind of flow chart of the recognition methods of network equipment that the embodiment of the present invention two is provided, as shown in Fig. 2 should
The recognition methods that the present embodiment is provided not only includes the step S1~step S4 in above-described embodiment one, is wrapped also before step S1
Step S1a and step S1b is included, only step S1a and step S1b are described in detail below.
Step S1a, some different types of network equipment that pre-sets of acquisition its carry out network each via WIFI and lead to
The wireless signal of broadcast during letter.
When the network equipment to be identified carries out network service by WIFI, can using broadcast by the way of by network bag send to
Wireless router, then follow-up route is carried out by wireless router.Therefore, in the present invention, it is only necessary in the attached of wireless router
Corresponding acquisition module is closely set, you can get the WIFI signal that the network equipment of the variant type for pre-setting sends
(wireless signal).
Step S1b, the wireless signal to getting are processed, and are passed through with the network equipment that the signal for obtaining is all types of
WIFI carries out the network package informatin and signal strength information during network service.
In step S1b, come to process the WIFI signal for getting according to actual needs, can obtain corresponding network
Package informatin and signal strength information.Alternatively, network package informatin includes：Source MAC, destination-mac address, the class of network bag
At least one of type, the size of network bag, network bag acquisition time.
Fig. 3 is a kind of structural representation of the identifying system of network equipment that the embodiment of the present invention three is provided, such as Fig. 3 institutes
Show, the identifying system of the network equipment is used to realize the recognition methods in above-described embodiment one, embodiment two, the identifying system bag
Include：Disaggregated model generation module 1, the first acquisition module 2, sort module 3 and identification module 4.
Wherein, disaggregated model generation module 1 be used for according to some different types of network equipment that pre-sets its each
Network behavior information during network service is carried out by WIFI, the disaggregated model of all types of network equipments, network behavior is generated
Information includes：Network package informatin and/or signal strength information.Alternatively, network package informatin includes：Source MAC, Destination MAC
At least one of address, the type of network bag, the size of network bag, network bag acquisition time.
The network behavior that first acquisition module 2 is used to obtain when the network equipment to be identified carries out network service by WIFI is believed
Breath.
Sort module 3 is used for the disaggregated model according to all types of network equipment for training to the network equipment to be identified
Network behavior information is classified.
Identification module 4 is used for according to classification results, determines the type of the network equipment to be identified.
It should be noted that the disaggregated model generation module 1 in the present embodiment is used to perform the step in above-described embodiment one
Rapid S1, the first acquisition module 2 is used to perform the step S2 in above-described embodiment one, and sort module 3 is used to perform above-described embodiment
Step S3 in one, identification module 4 is used to perform the step S4 in above-described embodiment one.For the specific works of above-mentioned each module
Process, reference can be made to the corresponding contents in embodiment one, here is omitted.
Alternatively, the generation module of disaggregated model 1 includes：Feature extraction unit 101 and features training unit 102.
Wherein, feature extraction unit 101 is used to carry out feature extraction to the network behavior information of all types of network equipments,
Obtain the network behavior feature of all types of network equipments.
Alternatively, when network behavior packet contains network package informatin, network behavior feature includes：In predetermined period
The average duration of network connection, network connection number of times, network access frequency, the size of upstream data amount, downlink data amount it is big
It is at least one of small.
When network behavior packet contains signal strength information, network behavior feature includes：Change in signal strength waveform.
Features training unit 102 is used to be trained the network behavior feature of all types of network equipments, obtains all kinds of
The disaggregated model of the network equipment of type.Alternatively, features training unit 102 uses SVMs method or logistic regression to net
Network behavioural characteristic is trained.
It should be noted that the feature extraction unit 101 in the present embodiment is used to perform the step in above-described embodiment one
S101, features training unit 102 is used to perform the step S102 in above-described embodiment one.For the specific works of above-mentioned each unit
Process, reference can be made to the corresponding contents in embodiment one, here is omitted.
Alternatively, the identifying system also includes：Second acquisition module 5 and signal processing module 6.
Wherein, the second acquisition module 5 is entered for obtaining some different types of network equipment for pre-setting by WIFI
The wireless signal of broadcast during row network service.
Signal processing module 6 is used to process the wireless signal for getting, with the network that the signal for obtaining is all types of
Equipment carries out the network package informatin and signal strength information during network service by WIFI.
It should be noted that the first acquisition module 2 in the present embodiment can have and the second acquisition module 5 and signal transacting
The identical structure of module 6.Certainly, the first acquisition module 2 and the second acquisition module 5 can also be same module.
The second acquisition module 5 in the present embodiment is used to perform the step S1a in above-described embodiment two, signal processing module
6 are used to perform the step S1b in above-described embodiment two.For the specific work process of above-mentioned each module, reference can be made to embodiment two
In corresponding contents, here is omitted.
It should be noted that to ensure that the identifying system of the network equipment that the present embodiment is provided can get known type
The network equipment wireless signal and the wireless signal of the network equipment to be identified, can by the present embodiment provide the network equipment knowledge
Other system is placed in the vicinity of wireless router, in order to receive the signal of broadcast when each network equipment carries out radio communication.
The embodiment of the present invention three provides a kind of identifying system of the network equipment, can be in the network equipment to be identified and server
In the case of not setting up network connection, the type of the network equipment to be identified can precisely be recognized.Additionally, entirely recognizing
Journey does not interfere with the proper communication of each network equipment in wireless network yet.
The embodiment of the present invention four provides a kind of intelligent terminal, and the intelligent terminal includes：The identifying system of the network equipment, its
In the network equipment identifying system using the identifying system provided in above-described embodiment three.Specifically describe and can be found in above-mentioned implementation
Content in example three.
In the present embodiment, it is contemplated that identifying system is likely to require each network equipment and net to be identified for obtaining known type
The signal strength information of network equipment, the accuracy of the signal strength information accessed by guarantee then needs to ensure identifying system
Position be fixed.In the present embodiment, it is preferable that identifying system is integrated in into intelligent television or Intelligent set top box.Additionally, intelligence
Wireless network card is provided with TV and Intelligent set top box, monitoring (monitor) pattern is placed in by by wireless network card, you can right
The WIFI signal of each network equipment broadcast is detected that one is easy to get the network behavior information of each network equipment.
It is understood that the embodiment of above principle being intended to be merely illustrative of the present and the exemplary implementation for using
Mode, but the invention is not limited in this.For those skilled in the art, essence of the invention is not being departed from
In the case of god and essence, various changes and modifications can be made therein, and these variations and modifications are also considered as protection scope of the present invention.
Claims (16)
1. a kind of recognition methods of the network equipment, it is characterised in that including：
Step S1, when according to some different types of network equipment that pre-sets, it carries out network service each via WIFI
Network behavior information, generates the disaggregated model of all types of network equipments, and the network behavior information includes：Network bag is believed
Breath and/or signal strength information；
Step S2, obtain network behavior information when the network equipment to be identified carries out network service by WIFI；
Net of the disaggregated model of all types of network equipment that step S3, basis are trained to the network equipment to be identified
Network behavioural information is classified；
Step S4, according to classification results, recognize the type of the network equipment to be identified.
2. the recognition methods of the network equipment according to claim 1, it is characterised in that also included before step S1：
Step S1a, some different types of network equipment that pre-sets of acquisition its when carrying out network service each via WIFI
Broadcast wireless signal；
Step S1b, the wireless signal to getting are processed, and are passed through with the network equipment that the signal for obtaining is all types of
WIFI carries out the network package informatin and the signal strength information during network service.
3. the recognition methods of the network equipment according to claim 1, it is characterised in that the step S1 includes：
Step S101, the network behavior information to all types of network equipments carry out feature extraction, obtain all types of
The network equipment network behavior feature；
Step S102, the network behavior feature to all types of network equipments are trained, all types of to obtain
The disaggregated model of the network equipment.
4. the recognition methods of the network equipment according to claim 3, it is characterised in that when the network behavior packet contains
When having the network package informatin, the network behavior feature includes：The average duration of network connection, network in predetermined period connect
Connect at least one of number of times, network access frequency, the size of upstream data amount, size of downlink data amount.
5. the recognition methods of the network equipment according to claim 3, it is characterised in that when the network behavior packet contains
When having the signal strength information, the network behavior feature includes：Change in signal strength waveform.
6. the recognition methods of the network equipment according to claim 3, it is characterised in that in step s 102 using support to
Amount machine method or logistic regression are trained to the network behavior feature, to obtain the classification of all types of network equipments
Model.
7. the recognition methods of the network equipment according to claim 1, it is characterised in that the network package informatin includes：Source
At least one of MAC Address, destination-mac address, the type of network bag, the size of network bag, network bag acquisition time.
8. a kind of identifying system of the network equipment, it is characterised in that including：
Disaggregated model generation module, for it to enter each via WIFI according to some different types of network equipment for pre-setting
Network behavior information during row network service, generates the disaggregated model of all types of network equipments, the network behavior letter
Breath includes：Network package informatin and/or signal strength information；
First acquisition module, for obtaining the network behavior information when network equipment to be identified carries out network service by WIFI；
Sort module, for being set to the network to be identified according to the disaggregated model of all types of network equipment for training
Standby network behavior information is classified；
Identification module, for according to classification results, determining the type of the network equipment to be identified.
9. the identifying system of the network equipment according to claim 8, it is characterised in that also include：
Second acquisition module, for obtaining some different types of network equipment for pre-setting, it carries out net each via WIFI
The wireless signal of broadcast when network communicates；
Signal processing module, for processing the wireless signal for getting, with the network that the signal for obtaining is all types of
Equipment carries out the network package informatin and the signal strength information during network service by WIFI.
10. the identifying system of the network equipment according to claim 8, it is characterised in that the disaggregated model generation module
Including：
Feature extraction unit, feature extraction is carried out for the network behavior information to all types of network equipments, is obtained
To the network behavior feature of all types of network equipments；
Features training unit, is trained for the network behavior feature to all types of network equipments, obtains each
The disaggregated model of the network equipment of type.
The identifying system of 11. network equipments according to claim 10, it is characterised in that when the network behavior packet
During containing the network package informatin, the network behavior feature includes：The average duration of network connection in predetermined period, network
At least one of connection number of times, network access frequency, the size of upstream data amount, size of downlink data amount.
The identifying system of 12. network equipments according to claim 10, it is characterised in that when the network behavior packet
During containing the signal strength information, the network behavior feature includes：Change in signal strength waveform.
The identifying system of 13. network equipments according to claim 10, it is characterised in that the features training unit is used
SVMs method or logistic regression are trained to the network behavior feature, to obtain all types of network equipments
Disaggregated model.
The identifying system of 14. network equipments according to claim 8, it is characterised in that the network package informatin includes：Source
At least one of MAC Address, destination-mac address, the type of network bag, the size of network bag, network bag acquisition time.
A kind of 15. intelligent terminals, it is characterised in that including：Network equipment as described in any in above-mentioned claim 8-14
Identifying system.
16. intelligent terminals according to claim 15, it is characterised in that the intelligent terminal is intelligent television or intelligent machine
Top box.
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| CN201611243410 | 2016-12-29 | ||
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| CN108399387A (en) * | 2018-02-27 | 2018-08-14 | 南京芝麻信息科技有限公司 | The data processing method and device of target group for identification |
| CN109951846A (en) * | 2019-03-25 | 2019-06-28 | 腾讯科技（深圳）有限公司 | Wireless network recognition methods, device, storage medium and computer equipment |
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| CN111143644A (en) * | 2018-11-05 | 2020-05-12 | 中国移动通信集团广东有限公司 | Identification method and device of Internet of things equipment |
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