CN107707421A - User's online recognition methods, device and storage medium - Google Patents

User's online recognition methods, device and storage medium Download PDF

Info

Publication number
CN107707421A
CN107707421A CN201710700414.9A CN201710700414A CN107707421A CN 107707421 A CN107707421 A CN 107707421A CN 201710700414 A CN201710700414 A CN 201710700414A CN 107707421 A CN107707421 A CN 107707421A
Authority
CN
China
Prior art keywords
user
characteristic
characteristic information
internet
online
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710700414.9A
Other languages
Chinese (zh)
Other versions
CN107707421B (en
Inventor
张斌
赵伟健
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sangfor Technologies Co Ltd
Original Assignee
Sangfor Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sangfor Technologies Co Ltd filed Critical Sangfor Technologies Co Ltd
Priority to CN201710700414.9A priority Critical patent/CN107707421B/en
Publication of CN107707421A publication Critical patent/CN107707421A/en
Application granted granted Critical
Publication of CN107707421B publication Critical patent/CN107707421B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876Network utilisation, e.g. volume of load or congestion level
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/16Threshold monitoring
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/50Testing arrangements

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The invention discloses a kind of user online recognition methods, device and storage medium, belong to Internet technical field, methods described includes:Obtain user's mark of Internet user and corresponding user's internet records;Obtain corresponding with user's internet records characteristic information and characteristic type;The characteristic information and characteristic type are judged, target Internet user is obtained according to judged result;The target Internet user is detected, obtains sinking network user.The present invention is by more accurately judging targeted customer, so as to detect sinking network user.

Description

User's online recognition methods, device and storage medium
Technical field
The present invention relates to Internet technical field, more particularly to user's online recognition methods, device and storage medium.
Background technology
Today's society, internet technology, but network are a double-edged swords, and many teenagers indulge in network world It is illusory among, this phenomenon is especially prominent in colleges and universities.Some students indulge in online game, and whole spirit is by that exciting feelings Section is embezzled, and can influence their healthy growth to a certain extent;Some students indulge in online chat, and unacquainted people Make friends, wealth is deceived by online friend and defrauded women of their love;Some students indulge in the network novel, and these novels are more some psychosexualities, plot thousand Without exception, three see not just a piece, and the soul of the university student to having scanty experience of life can carry out the pollution of large area.With building for colleges and universities internet If colleges and universities also increasingly pay attention to the sinking network phenomenon of student.Internet data of the invention by student, to assess student network The risk of addiction.
The online total duration for calculating student is to assess the key technology point whether student has sinking network to be inclined to.Network is in itself There is no the concept of duration, in general way is exactly to calculate online total duration by the way that certain time whether there is flow.However, this do Method can trigger large-scale erroneous judgement.Give some instances:
Certain student simply plays game once in a while, does not indulge, and opens game client, but does not play, due to game client There is heartbeat packet with service end, by the algorithm of flow accumulative online total duration can be caused very big, not meet actual conditions.
Certain student has seen a few minutes in certain video website video, has suspended video playback, but client and service Holding still persistently has data-bag interacting, and under this situation, the statistical method that duration is calculated using traditional flow will also result in erroneous judgement.
As bandwidth is increasing, many Web content speeds of download are very fast, if using flow evaluation duration, obtain Duration may not feed back truth.For example student is seeing novel, actually he has seen a whole morning, but novel Each page turning flow is delayed less than 2 seconds also with regard to a little, it is shorter to add up time length ratio.
The content of the invention
It is a primary object of the present invention to solve by more accurately judging targeted customer, so as to detect sinking network user's Technical problem.
To achieve the above object, a kind of user's online recognition methods provided by the invention, the described method comprises the following steps:
Obtain user's mark of Internet user and corresponding user's internet records;
Obtain corresponding with user's internet records characteristic information and characteristic type;
The characteristic information and characteristic type are judged, target Internet user is obtained according to judged result;
The target Internet user is detected, obtains sinking network user.
Preferably, it is described that the characteristic information and characteristic type are judged, target online is obtained according to judged result User specifically includes:
Obtain characteristic type corresponding to characteristic information;
Judge whether characteristic type corresponding to the characteristic information is default characteristic type.
Preferably, it is described judge whether characteristic type corresponding to the characteristic information is default characteristic type after, it is described Method also includes:
If characteristic type corresponding to the characteristic information is default characteristic type, identified according to the user, obtain with Target Internet user corresponding to the default characteristic information.
Preferably, the characteristic information includes behavioural characteristic and flow value;
It is described that the characteristic information and characteristic type are judged, it is specific that target Internet user is obtained according to judged result Including:
Obtain user behavior feature;
Judge whether Internet user sends corresponding data message according to the behavioural characteristic.
Preferably, it is described judge whether Internet user sends corresponding data message according to the behavioural characteristic after, institute Stating method also includes:
If the Internet user sends corresponding data message, obtain described in flow value corresponding to characteristic information and judgement Whether flow value exceedes preset flow threshold value.
Preferably, described whether to judge the flow value more than after preset flow threshold value, methods described also includes:
If the flow value exceedes preset flow threshold value, identified, obtained and the characteristic information pair according to the user The target Internet user answered.
Preferably, the characteristic information includes accession page information;
It is described that the characteristic information and characteristic type are judged, it is specific that target Internet user is obtained according to judged result Including:
Judge whether the accession page is the abnormal page according to the accession page information;
If the accession page is not the abnormal page, identified, obtained corresponding with the characteristic information according to the user Target Internet user.
Preferably, methods described also includes:
Online duration of the target Internet user in preset time is obtained, determines that sinking network is used according to the online duration Family.
In addition, to achieve the above object, the present invention also proposes a kind of user's online identification device, described device includes:Deposit The user that reservoir, processor and being stored in can be run on the memory and on the processor surfs the Net recognizer, described User's online recognizer is arranged for carrying out the step of user's online recognition methods as described above.
In addition, to achieve the above object, the present invention also proposes a kind of storage medium, and user is stored with the storage medium Online recognizer, user's online recognizer realize user's online identification side as described above when being executed by processor The step of method.
The present invention passes through the user's mark for obtaining Internet user and corresponding user's internet records;In acquisition and the user Characteristic information and characteristic type corresponding to net record;The characteristic information and characteristic type are judged, according to judged result Obtain target Internet user;The target Internet user is detected, obtains sinking network user.The present invention is by more accurate Targeted customer is judged, so as to detect sinking network user.
Brief description of the drawings
Fig. 1 is the gateway device structural representation for the hardware running environment that scheme of the embodiment of the present invention is related to;
Fig. 2 is the schematic flow sheet of user of the present invention online recognition methods first embodiment;
Fig. 3 is present invention collection user's attentinal contents detailed map;
Fig. 4 is the schematic flow sheet of user of the present invention online recognition methods second embodiment;
Fig. 5 is the schematic flow sheet of user of the present invention online recognition methods 3rd embodiment;
Fig. 6 is the schematic flow sheet of user of the present invention online recognition methods fourth embodiment;
Fig. 7 is the schematic flow sheet of the user of the present invention online embodiment of recognition methods the 5th;
Fig. 8 is the present invention collection nearest online duration tendency chart of user.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Reference picture 1, Fig. 1 are the gateway device structural representation for the hardware running environment that scheme of the embodiment of the present invention is related to.
As shown in figure 1, the gateway device can include:Processor 1001, such as CPU, communication bus 1002, user interface 1003, network interface 1004, memory 1005.Wherein, communication bus 1002 is used to realize the connection communication between these components. User interface 1003 can include display screen (Display), input block such as keyboard (Keyboard), optional user interface 1003 can also include wireline interface, the wave point of standard.Network interface 1004 can optionally connect including the wired of standard Mouth, wave point (such as WI-FI interfaces).Memory 1005 can be high-speed RAM memory or stable memory (non-volatile memory), such as magnetic disk storage.Memory 1005 optionally can also be independently of aforementioned processor 1001 storage device.
It will be understood by those skilled in the art that the gateway device structure shown in Fig. 1 does not form the limit to gateway device It is fixed, it can include than illustrating more or less parts, either combine some parts or different parts arrangement.
As shown in figure 1, as in a kind of memory 1005 of storage medium can include operating system, network service mould Block, Subscriber Interface Module SIM and user's online recognizer.
In the gateway device shown in Fig. 1, network interface 1004 is mainly used in connecting equipment for surfing the net, is carried out with equipment for surfing the net Data communicate;User interface 1003 is mainly used in connecting user terminal, enters row data communication with terminal;In gateway device of the present invention Processor 1001, memory 1005 can be arranged on user and surf the Net in identification device, user identification device of surfing the Net passes through Processor 1001 calls the user's online recognizer stored in memory 1005, and performs following operate:
Obtain user's mark of Internet user and corresponding user's internet records;
Obtain corresponding with user's internet records characteristic information and characteristic type;
The characteristic information and characteristic type are judged, target Internet user is obtained according to judged result;
The target Internet user is detected, obtains sinking network user.
Further, processor 1001 can call the user's online recognizer stored in memory 1005, also perform Operate below:
Obtain characteristic type corresponding to characteristic information;
Judge whether characteristic type corresponding to the characteristic information is default characteristic type.
Further, processor 1001 can call the user's online recognizer stored in memory 1005, also perform Operate below:
If characteristic type corresponding to the characteristic information is default characteristic type, identified according to the user, obtain with Target Internet user corresponding to the default characteristic information.
Further, processor 1001 can call the user's online recognizer stored in memory 1005, also perform Operate below:
Obtain user behavior feature;
Judge whether Internet user sends corresponding data message according to the behavioural characteristic.
Further, processor 1001 can call the user's online recognizer stored in memory 1005, also perform Operate below:
If the Internet user sends corresponding data message, obtain described in flow value corresponding to characteristic information and judgement Whether flow value exceedes preset flow threshold value.
Further, processor 1001 can call the user's online recognizer stored in memory 1005, also perform Operate below:
If the accession page is not the abnormal page, online duration corresponding to the characteristic information is obtained, and according to institute State online duration and obtain the target online duration in preset time.
Further, processor 1001 can call the user's online recognizer stored in memory 1005, also perform Operate below:
Judge whether the accession page is the abnormal page according to the accession page information;
If the accession page is not the abnormal page, identified, obtained corresponding with the characteristic information according to the user Target Internet user.
Further, processor 1001 can call the user's online recognizer stored in memory 1005, also perform Operate below:
Online duration of the target Internet user in preset time is obtained, determines that sinking network is used according to the online duration Family.
The present embodiment obtains user's mark of Internet user and corresponding user's internet records by such scheme;Obtain Corresponding with user's internet records characteristic information and characteristic type;The characteristic information and characteristic type are judged, Target Internet user is obtained according to judged result;The target Internet user is detected, obtains sinking network user.This hair It is bright by more accurately judging targeted customer, so as to detect sinking network user.
Based on above-mentioned hardware configuration, the embodiment of the method that user's online of the present invention identifies is proposed.
Reference picture 2, Fig. 2 are the schematic flow sheet that method for distinguishing first embodiment is known in user of the present invention online.
In the first embodiment, user's online is known method for distinguishing and comprised the following steps:
Step S10, obtain user's mark of Internet user and corresponding user's internet records;
It can be user's individual or tissue to obtain Internet user, can be with when carrying out sinking network user detection Single individual is detected, the tissue of distribution can also be detected.
User, which is identified as, distributes to the unique mark that user's individual or tissue use, and the unique mark is used to be different from other Different Individual or tissue, user mark can be login account, and IP (interconnects association between Internet Protocol internets View) address, or MAC (Media Access Control medium access control sublayers agreement) address, or other energy The mark of above-mentioned function is enough realized, the present embodiment is not any limitation as to this, in the present embodiment preferred IP address.Carried out in user Before upper net operation, unique ip address is distributed for each user, user's binding is carried out by the IP address.
User's internet records are the user's internet information obtained, record online relevant with user by user's internet log and believe Breath, including user log in operation information of IP address, the surf time of user and user etc..
Step S20, obtain corresponding with user's internet records characteristic information and characteristic type;
The whole internet records of the internet records general record user of user, but the specific letter of user's access can not be refine to Breath, therefore the specific internet information of user can not be accurately obtained, the present embodiment passes through after by recording user's internet log Various network access styles in client Configuration network, such as the strategy such as novel, website, game, antivirus software and QQ, the client End can be regarded as to be run on gateway device, can also be run on user terminal, can also be the equipment that can realize above-mentioned function at other Upper operation, this implementation are not any limitation as to this.
The policy information and Internet data are uploaded into cloud platform, passed through internet log data correspondingly by the cloud platform Policy information analyzed and processed, obtain the mining data of several type, and according to the relevant policy information, will be corresponding The mining data of type is pushed to corresponding client.Such as configure novel, website, game, antivirus software and QQ in client After policy information, cloud platform receives Internet data and the policy information, is analyzed and processed and by the corresponding strategies Information, the mining data of corresponding types is pushed to client, as shown in figure 3, the data after client receives analysis, User 200.200.67.88 can be viewed, internet content is detailed, such as 56 minutes shopping on the web used times, browses Baidu's patch 5 minutes used times, participating in Tengxun hand, to swim 24 minutes and have viewed the online such as Tengxun's video 4 minutes detailed, still further provides Daily attentinal contents are detailed and count nearest online duration trend.
Wherein, characteristic information corresponding with user's internet records be user surf the Net species, duration, using traffic conditions, Behavioural characteristic and reception mode etc. but it is not limited to that this is several, such as 56 minutes 200.200.67.88 shopping online used times of user.
Step S30, the characteristic information and characteristic type are judged, obtaining target online according to judged result uses Family;
After being analyzed and processed by cloud platform to Internet data, characteristic information corresponding to user's mark, the spy are obtained Reference ceases is identified as corresponding relation with user, is identified according to user and determines Internet user.
The characteristic information is judged, target Internet user is obtained according to judged result;
Updated in the internet information of detection user for office software, in this case, although detecting surfing flow, The user target Internet user is not regarded as into.Such as antivirus software renewal, operating system online upgrading etc., these species exist Can all occur substantially during user's use, but this has no effect on user and indulges network, if according to network access styles such as system upgrades Judge sinking network user, then can cause largely to judge by accident, therefore, in this case, some unrelated applications need not participate in Sinking network user assesses.
Also such as user is seeing novel, the click or page turning of each novel using network, and Web content is all under moment Load finishes, and in this case, the basic very little of surfing flow, when judging Internet user, may not recognize the user It is set to Internet user, but user is seeing novel possibly also with 1~2 hour, even longer time, for such case, Duration is calculated using fine-grained duration appraisal procedure, assessment system can estimate the duration for seeing novel, such as 1 minute, so as to Improve the accuracy that user network addiction is assessed.
Therefore, when obtain target Internet user corresponding with the characteristic information, if getting the spy of online Reference breath updates for antivirus software, in the case of the office system upgrading such as operating system online upgrading, not by this feature information pair The user answered regards as sinking network user, if the characteristic information for getting online is to see that the surfing flows such as novel are smaller, But in the case that the used time is long, grain refined analysis is carried out, so as to improve the accuracy of sinking network user assessment.
Step S40, the target Internet user is detected, obtain sinking network user.
The present invention passes through the user's mark for obtaining Internet user and corresponding user's internet records;In acquisition and the user Characteristic information and characteristic type corresponding to net record;The characteristic information and characteristic type are judged, according to judged result Obtain target Internet user;The target Internet user is detected, obtains sinking network user.By more accurately judging mesh User is marked, so as to detect sinking network user.
Reference picture 4, Fig. 4 are based on above-mentioned user online recognition methods first embodiment, propose second embodiment of the invention, Step S30 is specifically included:
Step S31, obtain characteristic type corresponding to characteristic information;
Characteristic type is characterized application program corresponding to information, such as office software includes antivirus software, operating system, visits Ask that website includes online shopping site, car website etc..
Step S32, judge whether characteristic type corresponding to the characteristic information is default characteristic type;
Default characteristic type is the characteristic type stored in advance in gateway device, and this feature type includes accessing website, micro- Rich forum, game and video stream media etc., but it is several to be not limited to this.
Such as characteristic type corresponding to the characteristic information got updates for antivirus software, the Internet data such as operating system, These species can all occur substantially during office hours, but this has no effect on user network addiction risk, in this case not Analyzed.
Such as the Internet data that user browses car website is got, the car website is accesses the species of webpage, in addition Understand that the species for accessing webpage belongs in default characteristic type, then carry out step S33.
Step S33, if characteristic type corresponding to the characteristic information is default characteristic type, marked according to the user Know, obtain target Internet user corresponding with the default characteristic information.
If characteristic type corresponding to the characteristic information is default characteristic type, such as gets user and browse car website Internet data, the car website for access webpage species, in addition we know access webpage species belong in default feature class In type, then the user is regarded as into target Internet user.
If characteristic type corresponding to the characteristic information is not belonging to default characteristic type, the user target is not regarded as into Internet user, such as characteristic type corresponding to the characteristic information got update for antivirus software, the Internet data such as operating system, These species are not belonging to default characteristic type, in this case without analysis.
If it is default characteristic type also to include characteristic type corresponding to the characteristic information, this is preset into characteristic type corresponds to User regard as Internet user, such as user is seeing novel, the click or page turning of each novel, network using the work hours Content is all to download moment to finish, and in this case, the basic very little of surfing flow, system may not assert the user for online User, but user, possibly also with 1~2 hour, the time that is even on duty for more time sees novel, for such case, Duration is calculated using fine-grained duration appraisal procedure, assessment system can estimate the duration for seeing novel, such as 1 minute, according to Online duration by the user so that be judged as target Internet user, so as to improve the accuracy of target Internet user assessment.
The present embodiment is judged characteristic information, to being not belonging to default characteristic type by setting default characteristic type User do not regard as target Internet user, so as to accurately being judged target Internet user.
Reference picture 5, Fig. 5 are based on above-mentioned user online recognition methods first embodiment, propose third embodiment of the invention, institute Stating characteristic information includes behavioural characteristic and flow value;
Step S30 is specifically included:
Step S31', obtain user behavior feature;
User behavior feature is obtained, such as gets active user and is chatted using QQ, when user carries out QQ chats, gateway Equipment receives user's receive information and sends message or detect that user uses news video.
Step S32', judge whether Internet user sends corresponding data message according to the user behavior feature;
Data message be user whether actively make corresponding operation, such as detect user carry out QQ chats when, system The information for detecting to receive is that QQ receive informations still send message, if only detecting receive information illustrates that user does not enter Row is corresponding interactive, illustrates that user has corresponding interaction if detecting that user sends message, has participation to chat, even described Internet user sends corresponding data message, then it is Internet user to assert the user.
Step S33', if the Internet user sends corresponding data message, obtain and flowed corresponding to the characteristic information Value simultaneously judges whether the flow value exceedes preset flow threshold value;
If detect user be received message cause flow increase and send message if illustrate that user does not have Corresponding interaction is carried out, is not engaged in chatting, in this case, then the user is not regarded as into Internet user.For using The network application of flow evaluation duration, assessment system can use a kind of method of flow line to analyze this apply without behaviour in advance Flow curve when making, calculate the flow threshold of manual operation.When duration is actually calculated, only certain time Flow exceedes this threshold value, and the user just is regarded as into Internet user.In addition, this threshold value can be directed to uplink traffic, Can be directed to downlink traffic or total flow.Such as the game of certain money, the threshold value of up flow velocity can when playing by Internet user To reach more than 1KB/s, do not assert that this Internet user is playing then less than this valve system if up flow velocity.Such as network again Video, Internet user's descending flow velocity when seeing may reach more than 10KB/s, if descending flow velocity is less than 10KB/s, System not will be considered that user is seeing video yet.
Step S34', if the flow value exceedes preset flow threshold value, obtain online corresponding with the characteristic information User, and the target Internet user in preset time is obtained according to the Internet user.
Weigh whether an Internet user is sinking network user, system not only leans on the behavior traffic characteristic of one day, is System judges influence of the network to Internet user by total duration of surfing the Net, can also by counting the online total duration in preset time Average online duration within certain a period of time is analyzed by substantial amounts of historical record, and network is judged by average online duration Indulge risk.
The present embodiment judges whether user participates in interaction and sentence by obtaining flow value by obtaining user behavior feature Disconnected real user operational circumstances, so as to reach the effect accurately judged Internet user.
Reference picture 6, Fig. 6 are based on above-mentioned user online recognition methods first embodiment, propose fourth embodiment of the invention, The characteristic information includes accession page information;
Step S30 is specifically included:
Step S31 ", judge whether the accession page is the abnormal page according to the accession page information;
According to the accession page information extraction page access address;
The station address that page address generally normally accesses, such as (Uniform Resource Locator are unified by URL URLs) address or HTTP (HyperText Transfer Protocol HTTP) addresses but unlimited In both.
Judge whether the page access address is IP address according to the page access address;
Judge whether the page access address is IP address according to the page access address, if the page access Location is IP address, then obtains Internet user corresponding to the characteristic information, and obtain in preset time according to the Internet user Interior target Internet user.
When system detectio is to user to access pages, the page address information is extracted, if detecting that the page address is IP Address, the page that system judges to access for the abnormal page, i.e., are not the pages that user actively normally accesses, in this case, Judge that user is the page of passive access, then the user is not regarded as into Internet user.If it is positive frequentation to detect accession page Address is asked, system judges the page of access for normal page, i.e., the page actively normally accessed as user, in such case Under, then Internet user corresponding to the characteristic information is obtained, and the target in preset time is obtained according to the Internet user Internet user.
If the page access address is not IP address, judge whether the accession page information contains title;
Judge whether the accession page information contains title, if the accession page information is containing title, obtain Internet user corresponding to the characteristic information, and the target Internet user in preset time is obtained according to the Internet user.
When system detectio is to user to access pages, judge whether the page contains title, if detecting that the page is free of There is title, the page that system judges to access for the abnormal page, i.e., is not the page that user actively normally accesses, in such case Under, judge the page of the user for passive access, then without obtaining total duration of surfing the Net.If detecting, accession page contains title When, system judges the page of access for normal page, i.e., the page actively normally accessed as user, in this case, then Internet user corresponding to the characteristic information is obtained, and the target obtained according to the Internet user in preset time is surfed the Net and used Family.
If the accession page information contains title, judge whether the title contains preset characters;
If the title contains preset characters, Internet user corresponding to the characteristic information is not obtained.
Preset characters are the judgement character being pre-configured with, and can be that numeral is alternatively spcial character, such as 304,501 etc., When detecting that numeral or spcial character occurs in accession page, the page that system judges to access for the abnormal page, i.e., is not user The page actively normally accessed, in this case, judge that user is the page of passive access, then do not regard as the user Network users.If detect that accession page does not contain numeral or spcial character, system judges the page of access for normal page, The page actively normally accessed as user, in this case, then regards as Internet user by the user, obtains the spy Internet user corresponding to reference breath, and the target Internet user in preset time is obtained according to the Internet user.
If the title does not contain preset characters, Internet user corresponding to the characteristic information is obtained, and according to described Internet user obtains the target Internet user in preset time.
Step S32 ", if the accession page is not the abnormal page, identified, obtained and the feature according to the user Target Internet user corresponding to information.
The present embodiment is artificial active access or other passive access by distinguishing, by the use of passive access website Internet user is not regarded as at family, so as to reach accurate detection sinking network user.
Reference picture 7, Fig. 7 are based on above-mentioned user online recognition methods first embodiment, propose fifth embodiment of the invention, Methods described also includes:
Step S50, online duration of the target Internet user in preset time is obtained, net is determined according to the online duration Network indulges user.
Weigh whether an Internet user is sinking network user, system not only leans on the behavior traffic characteristic of one day, is System judges influence of the network to Internet user by total duration of surfing the Net, can also by counting the online total duration in preset time Online total duration within certain a period of time is analyzed by substantial amounts of historical record, and sinking network is judged by total duration of surfing the Net Risk.
As shown in figure 8, user is in online total duration peak value in 20161221 this day, if the online for passing through this day Total duration statistics decides that the user lacks objectivity for sinking network user, and the present embodiment passes through this month of Internet user Online total duration, calculates average online total duration, this is averagely surfed the Net to total duration compared with preset duration, if the use Family total duration of averagely surfing the Net is more than or equal to preset duration, then the user is judged for sinking network user, if the user puts down Online total duration is less than preset duration, then the user is not regarded as into sinking network user.Such as counting user 200.200.67.88 the online total duration of this month is 6271 minutes from 20161201 to 20161231, total by the online Every per day online duration that duration calculation goes out this month of user is 209 minutes, and it is 360 points to preset per the per day surf time Clock is sinking network user, it is known that every per day online duration of the user is less than every per day online duration of preset time, Then the user is not determined as sinking network user, improves accuracy and reasonability that sinking network user judges.
This reality counts addiction trend by substantial amounts of historical data, avoids the network traffics of burst and network behavior from influenceing to learn Raw assessment result, improve detection sinking network user's correctness.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row His property includes, so that process, method, article or system including a series of elements not only include those key elements, and And also include the other element being not expressly set out, or also include for this process, method, article or system institute inherently Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this Other identical element also be present in the process of key element, method, article or system.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
In if the unit claim of equipment for drying is listed, several in these devices can be by same hard Part item embodies.The use of word first, second, and third does not indicate that any order.These words can be explained For title.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases The former is more preferably embodiment.Based on such understanding, technical scheme is substantially done to prior art in other words Going out the part of contribution can be embodied in the form of software product, and the computer software product includes some instructions to cause One station terminal equipment (can be mobile phone, computer, server, air conditioner, or network equipment etc.) performs each reality of the present invention Apply the method described in example.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair The equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills Art field, is included within the scope of the present invention.
The equivalent structure or equivalent flow conversion that specification and accompanying drawing content are made, or directly or indirectly it is used in other phases The technical field of pass, is included within the scope of the present invention.

Claims (10)

  1. The recognition methods 1. a kind of user surfs the Net, it is characterised in that methods described includes:
    Obtain user's mark of Internet user and corresponding user's internet records;
    Obtain corresponding with user's internet records characteristic information and characteristic type;
    The characteristic information and characteristic type are judged, target Internet user is obtained according to judged result;
    The target Internet user is detected, obtains sinking network user.
  2. 2. the method as described in claim 1, it is characterised in that it is described that the characteristic information and characteristic type are judged, Target Internet user is obtained according to judged result to specifically include:
    Obtain characteristic type corresponding to characteristic information;
    Judge whether characteristic type corresponding to the characteristic information is default characteristic type.
  3. 3. method as claimed in claim 2, it is characterised in that described whether to judge characteristic type corresponding to the characteristic information After default characteristic type, methods described also includes:
    If characteristic type corresponding to the characteristic information is default characteristic type, identified according to the user, obtain with it is described Target Internet user corresponding to default characteristic information.
  4. 4. the method as described in claim 1, it is characterised in that the characteristic information includes behavioural characteristic and flow value;
    It is described that the characteristic information and characteristic type are judged, target Internet user is obtained according to judged result and specifically wrapped Include:
    Obtain user behavior feature;
    Judge whether Internet user sends corresponding data message according to the behavioural characteristic.
  5. 5. method as claimed in claim 4, it is characterised in that described to judge whether Internet user sends out according to the behavioural characteristic Go out after corresponding data message, methods described also includes:
    If the Internet user sends corresponding data message, obtain flow value corresponding to characteristic information and judge the flow Whether value exceedes preset flow threshold value.
  6. 6. method as claimed in claim 5, it is characterised in that described to judge whether the flow value exceedes preset flow threshold value Afterwards, methods described also includes:
    If the flow value exceedes preset flow threshold value, identified, obtained corresponding with the characteristic information according to the user Target Internet user.
  7. 7. the method as described in claim 1, it is characterised in that the characteristic information includes accession page information;
    It is described that the characteristic information and characteristic type are judged, target Internet user is obtained according to judged result and specifically wrapped Include:
    Judge whether the accession page is the abnormal page according to the accession page information;
    If the accession page is not the abnormal page, identified according to the user, obtain mesh corresponding with the characteristic information Put on network users.
  8. 8. the method as any one of claim 1 to 7, it is characterised in that methods described also includes:
    Online duration of the target Internet user in preset time is obtained, sinking network user is determined according to the online duration.
  9. The identification device 9. a kind of user surfs the Net, it is characterised in that described device includes:Memory, processor and it is stored in described On memory and the user that can run on the processor surfs the Net recognizer, and user recognizer of surfing the Net is configured to reality Now user as any one of claim 1 to 8 surf the Net recognition methods the step of.
  10. 10. a kind of storage medium, it is characterised in that user's online recognizer, the user are stored with the storage medium Online recognizer realizes user's online recognition methods as any one of claim 1 to 8 when being executed by processor Step.
CN201710700414.9A 2017-08-16 2017-08-16 User internet access identification method and device and storage medium Active CN107707421B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710700414.9A CN107707421B (en) 2017-08-16 2017-08-16 User internet access identification method and device and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710700414.9A CN107707421B (en) 2017-08-16 2017-08-16 User internet access identification method and device and storage medium

Publications (2)

Publication Number Publication Date
CN107707421A true CN107707421A (en) 2018-02-16
CN107707421B CN107707421B (en) 2020-11-13

Family

ID=61171066

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710700414.9A Active CN107707421B (en) 2017-08-16 2017-08-16 User internet access identification method and device and storage medium

Country Status (1)

Country Link
CN (1) CN107707421B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110611689A (en) * 2018-06-15 2019-12-24 中移信息技术有限公司 Information identification method and device and computer readable storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103413054A (en) * 2013-08-20 2013-11-27 东北大学 Internet addiction detection device and method based on user-computer interactive events
CN104579845A (en) * 2015-01-19 2015-04-29 太仓市同维电子有限公司 Alarm method of device for intelligently monitoring child Internet browsing records
US20150302764A1 (en) * 2012-08-09 2015-10-22 David Gross Method and system for identify, treatment and weaning from internet and computer addiction
CN204733177U (en) * 2015-06-26 2015-10-28 深圳市宝德软件开发有限公司 One is used for preventing user from indulging network of network supervisory control system
KR101706474B1 (en) * 2015-11-19 2017-02-15 가톨릭대학교 산학협력단 Smartphone usage patterns gathering and processing system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150302764A1 (en) * 2012-08-09 2015-10-22 David Gross Method and system for identify, treatment and weaning from internet and computer addiction
CN103413054A (en) * 2013-08-20 2013-11-27 东北大学 Internet addiction detection device and method based on user-computer interactive events
CN104579845A (en) * 2015-01-19 2015-04-29 太仓市同维电子有限公司 Alarm method of device for intelligently monitoring child Internet browsing records
CN204733177U (en) * 2015-06-26 2015-10-28 深圳市宝德软件开发有限公司 One is used for preventing user from indulging network of network supervisory control system
KR101706474B1 (en) * 2015-11-19 2017-02-15 가톨릭대학교 산학협력단 Smartphone usage patterns gathering and processing system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110611689A (en) * 2018-06-15 2019-12-24 中移信息技术有限公司 Information identification method and device and computer readable storage medium
CN110611689B (en) * 2018-06-15 2022-06-28 中移动信息技术有限公司 Information identification method and device and computer readable storage medium

Also Published As

Publication number Publication date
CN107707421B (en) 2020-11-13

Similar Documents

Publication Publication Date Title
US10142279B2 (en) Method and system for presenting a listing of message logs
CN107483500A (en) A kind of Risk Identification Method based on user behavior, device and storage medium
US9031972B2 (en) Method and device for extracting relationship circle of members in social network service (SNS) network
CN109617852B (en) Method and device for preventing network addiction based on flow analysis
CN109218390B (en) User screening method and device
CN107040816A (en) A kind of client application operation exception analysis method and device
CN103049637B (en) Strengthen the system and method for the content quality and user's participation of social platform
CN107798027B (en) Information popularity prediction method, information recommendation method and device
CN101789887A (en) Method and device for classifying network users and system for monitoring network services
CN105871702B (en) A kind of information identifying method and server
CN104771903B (en) The login queue method of online game
CN108282450A (en) The detection method and device of abnormal domain name
Yu et al. Analyzing netizens’ view and reply behaviors on the forum
CN108985048B (en) Simulator identification method and related device
CN113412607B (en) Content pushing method and device, mobile terminal and storage medium
CN107807943A (en) Application program recommends method and device
US20200233854A1 (en) Apparatus, method and article to identify discrepancies between clients and in response prompt clients in a networked environment
CN105100207A (en) Method and system for intelligently controlling child for getting online by parents
CN110237536A (en) Personalized game service providing method and device, electronic equipment and storage medium
CN110457601B (en) Social account identification method and device, storage medium and electronic device
CN109246178A (en) A kind of online topic distribution method, device, server and storage medium
KR101149017B1 (en) Social network game system at mobile platform
CN107707421A (en) User's online recognition methods, device and storage medium
CN107578148A (en) The method, apparatus and storage medium that estimation online duration influences on operating efficiency
CN101360108A (en) Method, apparatus and system determining validity of network access

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant