CN110689373B - Method and device for detecting state of equipment to be detected - Google Patents

Method and device for detecting state of equipment to be detected Download PDF

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CN110689373B
CN110689373B CN201910908674.4A CN201910908674A CN110689373B CN 110689373 B CN110689373 B CN 110689373B CN 201910908674 A CN201910908674 A CN 201910908674A CN 110689373 B CN110689373 B CN 110689373B
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CN110689373A (en
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王晓宁
卢亿雷
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Enyike Beijing Data Technology Co ltd
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    • G06Q30/0241—Advertisements
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    • G06Q30/0255—Targeted advertisements based on user history
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0261—Targeted advertisements based on user location
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0277—Online advertisement

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Abstract

The method for detecting the state of the equipment to be detected determines at least one piece of electronic equipment connected with the equipment to be detected at the same network IP address, determines a second label set of the equipment to be detected based on a first label set of the at least one piece of electronic equipment, and determines the attribute of the equipment to be detected according to the abnormal probability of the at least one piece of electronic equipment. The behavior data of the electronic equipment is comprehensive, so that the obtained first state of the electronic equipment is accurate based on the behavior data of the electronic equipment, when the behavior data of the equipment to be tested is sparse, the determined second state of the equipment to be tested is accurate through the first state of at least one electronic equipment, and the accuracy of detecting the state of the equipment to be tested is improved.

Description

Method and device for detecting state of equipment to be detected
Technical Field
The present application relates to the technical field of advertisement media, and in particular, to a method and an apparatus for detecting a state of a device under test.
Background
With The development of technology, Over The Top (OTT) devices providing various application services to users through The internet gradually play an important role in The life of people, for example, OTT devices include internet televisions, smart boxes, and The like, and thus, OTT devices become one of important media for advertisers to deliver advertisements. Specifically, in consideration of the effect of the delivered advertisements, the tags of the OTT devices need to be detected, so as to deliver different advertisements for OTT devices with different tags; and considering that the traffic cheating phenomenon exists on the OTT equipment, detecting the attribute of the OTT equipment is needed to judge whether the OTT equipment is abnormal equipment. To sum up, the tag and the attribute of the OTT device need to be detected, that is, the state of the OTT device needs to be detected.
In the prior art, labels of OTT equipment are monitored through a label algorithm of thousands of people and thousands of faces based on behavior data of the OTT equipment, states of the OTT equipment are monitored through an abnormal equipment identification algorithm based on the behavior data of the OTT equipment, and the labels and attributes of the OTT equipment are determined, wherein the behavior data comprise browsed software types, browsed video software names, video software browsing time, video software browsing duration and the like.
Disclosure of Invention
In view of the above, an object of the present application is to provide a method and an apparatus for detecting a state of a device under test, so as to improve accuracy of detecting the state of the device under test.
In a first aspect, an embodiment of the present application provides a method for detecting a state of a device under test, where the method includes:
acquiring a network Internet Protocol (IP) address corresponding to the equipment to be tested based on the first identification information of the equipment to be tested;
determining at least one electronic device connected to the network IP address based on the network IP address;
determining a first state of the at least one electronic device based on a preset algorithm, wherein the first state comprises a first tag set and an abnormal probability of the electronic device;
and determining a second state of the device to be tested based on the first state of each electronic device, wherein the second state comprises a second tag set corresponding to the device to be tested and attributes of the device to be tested, and the attributes comprise abnormal and normal.
In some embodiments of the present application, the first tag set includes at least one tag and a time period corresponding to each tag, where the time period corresponding to the tag is a valid time period of the tag on the electronic device;
the determining the second state of the device under test based on the first state of each electronic device includes:
extracting tags from a first tag set corresponding to each electronic device;
judging whether the same label exists in the extracted at least one label, if so, combining the same label to obtain at least one combined label; obtaining a time period corresponding to the combined label based on the time period corresponding to each label in the same labels;
and the combined at least one label and the time period corresponding to each label form a second label set corresponding to the equipment to be tested.
In some embodiments of the present application, after determining the first state of the at least one electronic device based on a preset algorithm, the method further comprises:
judging whether the obtained abnormal probability of each electronic device is larger than a preset first threshold value or not, if so, determining that the electronic device is an abnormal electronic device;
counting the occupation ratio of abnormal electronic equipment in at least one piece of electronic equipment;
judging whether the ratio is larger than a preset second threshold value or not, if so, determining that the equipment to be tested is abnormal equipment to be tested;
and if not, detecting the network IP address corresponding to the equipment to be detected.
In some embodiments of the present application, the detecting the network IP address corresponding to the device to be tested includes:
determining the abnormal probability of the network IP address based on a preset IP detection algorithm;
if the abnormal probability of the network IP address is larger than or equal to a preset third threshold value, determining that the network IP address is an abnormal IP address, and determining that the equipment to be tested corresponding to the network IP address is abnormal equipment to be tested;
if the abnormal probability of the network IP address is smaller than a preset third threshold value, determining that the network IP address is a normal IP address, and determining that the equipment to be tested corresponding to the network IP address is normal equipment to be tested.
In some embodiments of the present application, determining the attribute of the device under test includes:
if the equipment to be tested is abnormal equipment to be tested, the attribute of the equipment to be tested is abnormal;
and if the equipment to be tested is normal equipment to be tested, the attribute of the equipment to be tested is normal.
In some embodiments of the present application, the method further comprises:
if the attribute of the equipment to be tested is abnormal, forbidding to distribute services for the equipment to be tested;
and if the attribute of the equipment to be tested is normal, sending the service with the service label matched with the second label set of the equipment to be tested to the equipment to be tested, so that the equipment to be tested executes the service in a time period corresponding to the label.
In a second aspect, an embodiment of the present application further provides an apparatus for detecting a state of a device under test, where the apparatus includes:
the address acquisition module is used for acquiring a network Internet Protocol (IP) address corresponding to the equipment to be detected based on the first identification information of the equipment to be detected;
the electronic equipment determining module is used for determining at least one piece of electronic equipment connected with the network IP address based on the network IP address;
the first state determining module is used for determining a first state of the at least one electronic device based on a preset algorithm, wherein the first state comprises a first tag set and the abnormal probability of the electronic device;
and the second state determining module is used for determining the second state of the equipment to be tested based on the first state of each piece of electronic equipment, wherein the second state comprises a second label set corresponding to the equipment to be tested and the attribute of the equipment to be tested, and the attribute comprises abnormity and normality.
In some embodiments of the present application, the first tag set includes at least one tag and a time period corresponding to each tag, where the time period corresponding to the tag is a valid time period of the tag on the electronic device;
a second state determination module that determines a second state of the device under test using the following steps:
extracting tags from a first tag set corresponding to each electronic device;
judging whether the same label exists in the extracted at least one label, if so, combining the same label to obtain at least one combined label; obtaining a time period corresponding to the combined label based on the time period corresponding to each label in the same labels;
and the combined at least one label and the time period corresponding to each label form a second label set corresponding to the equipment to be tested.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and the machine-readable instructions, when executed by the processor, perform the steps of the method for detecting a state of a device under test as set forth in the first aspect above or any one of the possible implementations of the first aspect.
In a fourth aspect, this application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program performs the steps of the method for detecting the state of the device under test described in the first aspect or any one of the possible implementation manners of the first aspect.
The method and the device for detecting the state of the equipment to be detected provided by the embodiment of the application comprise the following steps: acquiring a network Internet Protocol (IP) address corresponding to the equipment to be tested based on the first identification information of the equipment to be tested; determining at least one electronic device connected to the network IP address based on the network IP address; determining a first state of at least one piece of electronic equipment based on a preset algorithm, wherein the first state comprises a first tag set and the abnormal probability of the electronic equipment; and determining a second state of the equipment to be tested based on the first state of each piece of electronic equipment, wherein the second state comprises a second label set corresponding to the equipment to be tested and the attribute of the equipment to be tested, and the attribute comprises abnormity and normality. The method for detecting the state of the device to be tested, provided by the embodiment of the application, includes determining at least one electronic device connected with the device to be tested at the same network IP address, determining a second tag set of the device to be tested based on a first tag set of the at least one electronic device, and determining the attribute of the device to be tested according to the abnormal probability of the at least one electronic device. The behavior data of the electronic equipment is comprehensive, so that the obtained first state of the electronic equipment is accurate based on the behavior data of the electronic equipment, when the behavior data of the equipment to be tested is sparse, the determined second state of the equipment to be tested is accurate through the first state of at least one electronic equipment, and the accuracy of detecting the state of the equipment to be tested is improved.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below.
Fig. 1 is a flowchart illustrating a method for detecting a state of a device under test according to an embodiment of the present application;
fig. 2 is a flowchart illustrating determining a second attribute of a device under test in a method for detecting a state of the device under test according to an embodiment of the present application;
fig. 3 is a schematic structural diagram illustrating an apparatus for detecting a state of a device under test according to an embodiment of the present application;
fig. 4 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
In consideration of the prior art, labels of the OTT equipment are monitored through a label algorithm of thousands of people and thousands of faces based on behavior data of the OTT equipment, states of the OTT equipment are monitored through an abnormal flow discrimination algorithm based on the behavior data of the OTT equipment, and the labels and attributes of the OTT equipment are determined, wherein the behavior data comprise browsed software types, browsed video software names, video software browsing time, video software browsing duration and the like. Based on this, the embodiments of the present application provide a method and an apparatus for detecting a state of a device under test, which are described below by embodiments.
To facilitate understanding of the present embodiment, a detailed description will be first given of a method for detecting a state of a device under test disclosed in the embodiments of the present application.
Example one
The method for detecting the state of the device to be detected is applied to the OTT device, and the state of the OTT device is detected, namely, the label of the OTT device and the attribute of the OTT device are detected. After the state of the OTT equipment is detected, based on the label of the OTT equipment, the advertisement with the advertisement label corresponding to the label of the OTT equipment is delivered to the OTT equipment. Before advertisement is put, whether the advertisement is put on the OTT equipment is judged based on the attribute of the OTT equipment, or/and after the advertisement is put, whether the flow of the advertisement put on the OTT equipment is abnormal flow is judged based on the attribute of the OTT equipment.
For example, if the OTT device is an internet television a, detecting the internet television a to obtain that the label of the internet television is a game, wherein the time period corresponding to the game is 21:00-21:30, and the attribute of the internet television a is normal; before the advertisement is delivered, whether the advertisement is delivered on the internet television A can be judged based on the attribute of the internet television A, and specifically, as the attribute of the internet television A is normal, the advertisement of a game class can be delivered to the internet television A within a time period of 21:00-21: 30; or, after the advertisement is delivered, whether the advertisement delivered on the internet device a is abnormal traffic may be determined based on the attribute of the internet a, and specifically, since the attribute of the internet television a is normal, the traffic of the game advertisement delivered on the internet television a is normal traffic. On the contrary, if the OTT equipment is the Internet television B, after the detection is carried out on the Internet television B, the label of the Internet television is shopping-shoes, the time period corresponding to the label is 19:00-19:30, and the attribute of the Internet television B is abnormal; before the advertisement is delivered, the advertisement is prohibited from being delivered to the internet television B because the attribute of the internet television B is abnormal, or after the advertisement is delivered, the flow of the shopping-shoe advertisement delivered to the internet television B is abnormal because the attribute of the internet television B is abnormal.
An embodiment of the present application provides a method for detecting a state of a device to be tested, referring to a flowchart of the method for detecting a state of a device to be tested shown in fig. 1, where the method includes S101-S104, and the specific process is as follows:
s101, acquiring a network Internet Protocol (IP) address corresponding to the device to be tested based on the first identification information of the device to be tested.
In the embodiment of the application, the device to be tested is an OTT device. The first identification information of the device under test may be a Media Access Control (MAC) address of the device under test.
S102, determining at least one electronic device connected with the network IP address based on the network IP address.
In the embodiment of the application, the device to be tested is an OTT device, the electronic device is a mobile device capable of being connected with a network IP address, and the electronic device can be a mobile phone, a computer, a tablet and the like. For example, the identification information of the at least one electronic device connected to the network IP address may be determined based on the network IP address, and the identification information of the electronic device may include an Identity (ID) address, a MAC address of the device, and the like. The network IP address is a home network IP address, so that at least one electronic device and the device to be tested are devices connected with the same home network IP address, and the device to be tested and the at least one electronic device form a home network device set. In the embodiment of the application, the state of the device to be tested is determined according to the state of at least one electronic device in the home network device set.
S103, determining a first state of at least one piece of electronic equipment based on a preset algorithm, wherein the first state comprises a first tag set and the abnormal probability of the electronic equipment.
In the embodiment of the application, the preset algorithm comprises a thousand-person and thousand-face algorithm and an abnormal equipment identification algorithm, each electronic equipment is detected through the thousand-person and thousand-face algorithm, a label set of each electronic equipment is obtained, and a time period corresponding to each label in the label set is obtained. And detecting each electronic device through an abnormal device identification algorithm to obtain the abnormal probability of each electronic device.
In the embodiment of the application, behavior data and basic data of each electronic device are obtained, the behavior data are input into a thousand-person and thousand-face algorithm, and at least one label of each electronic device and a time period corresponding to each label are obtained by the thousand-person and thousand-face algorithm based on the behavior data and the basic data. The behavior data comprises the type of browsed software, the name of browsed software, the time of browsing software, the duration of browsing software, the frequency of using software and the like, basic data of the electronic equipment comprises the type, the brand, the price, the common geographical position of the equipment and the like, and the type of the tag comprises: games, shopping, video, english, news, music, etc. The method for acquiring the labels of the electronic equipment and the time period of each label by using the thousand-person and thousand-face algorithm is the prior art, and the detailed description is not provided in the embodiment of the application.
In the embodiment of the application, for each electronic device, the abnormal device identification algorithm scores the electronic device based on a preset identification rule according to the behavior data and the basic data of the electronic device, and determines the abnormal probability of the electronic device according to the score of the electronic device. Specifically, if the preset identification rule includes: rule one, the electronic equipment is exposed in different time periods of a working day, or the electronic equipment is exposed in different time periods of a weekend; rule two, the exposure frequency of the electronic equipment on the same advertisement position of the same media is greater than an exposure threshold value; rule three, the click frequency of the electronic equipment on the same advertisement position of the same media is greater than a click threshold value; the abnormality recognition algorithm obtains a first value of the electronic equipment based on the rule one, a second value of the electronic equipment based on the rule two, a third value of the electronic equipment based on the rule three according to the behavior data and the basic data of the electronic equipment, and sums the first value, the second value and the third value to obtain the value of the electronic equipment. For example, taking rule three as an example, if the click threshold is 50, the click frequency of the electronic device a on the same advertisement position of the same media is 200, and the click frequency of the electronic device B on the same advertisement position of the same media is 60, the anomaly identification algorithm scores the electronic device a and the electronic device B respectively, so that the score three of the electronic device a is 90, and the score three of the electronic device B is 20. If the score of the electronic equipment is less than or equal to 100, dividing the score by 100 to obtain the abnormal probability of the electronic equipment. If the score of the electronic equipment is larger than 100, the abnormal probability of the electronic equipment is 1. The preset identification rule may be set according to actual needs, which is not specifically limited in the embodiment of the present application.
As an optional embodiment, after obtaining and determining the first state of the at least one electronic device based on a preset algorithm, the method further includes:
firstly, whether the obtained abnormal probability of each electronic device is larger than a preset first threshold value or not is judged, and if yes, the electronic device is an abnormal electronic device.
For example, the preset first threshold may be 0.7, and if the abnormality probability of the electronic device a is 0.8, the electronic device a is an abnormal electronic device. The preset first threshold value can be set according to actual needs.
Secondly, the occupation ratio of abnormal electronic equipment in at least one electronic equipment is counted.
For example, if the number of electronic devices connected to the same network IP address with the device under test is 5, where the number of abnormal electronic devices is 4, the percentage of the abnormal electronic devices is 80%.
Thirdly, judging whether the occupation ratio is larger than a preset second threshold value, if so, determining that the equipment to be tested is abnormal equipment to be tested; and if not, detecting the network IP address corresponding to the equipment to be detected.
Continuing with the above embodiment, if the second threshold may be 70% and the percentage of the abnormal electronic devices is 80%, the device under test is an abnormal device under test. In the embodiment of the application, the electronic equipment is mobile equipment, and the behavior data of the mobile equipment is comprehensive, so that the label of the mobile equipment can be accurately obtained by a thousand-person and thousand-face algorithm based on the behavior data of the mobile equipment, and the abnormal equipment identification algorithm can accurately obtain the abnormal probability of the mobile equipment. Therefore, the attribute of the equipment to be tested and the second label set can be obtained more accurately by detecting the abnormal probability and the first label set of at least one piece of electronic equipment connected with the same network IP address.
As an optional embodiment, detecting a network IP address corresponding to a device to be detected includes:
firstly, determining the abnormal probability of the network IP address based on a preset IP detection algorithm.
In the embodiment of the application, a preset IP detection algorithm scores network IP addresses based on a set IP detection rule, and determines the abnormal probability of the network IP addresses according to the scores of the network IP addresses. Wherein, the IP detection rule comprises: firstly, in a preset period, the exposure of the IP address exceeds a set exposure threshold, and the click rate exceeds the threshold; secondly, in a preset period, the exposure rate of the IP address on the medium exceeds a threshold value; and thirdly, acquiring data of the IP address in a preset time period, wherein the average life cycle of Cookie of the computer file of the information sent to the central server by the network user corresponding to the IP address is less than a period threshold value, and the exposure rate is greater than the threshold value, wherein the value range corresponding to each rule is 0-100. For example, the IP detection algorithm scores a pair of network IP addresses a based on the rule to obtain a first score, the IP detection algorithm scores a pair of network IP addresses a based on the rule to obtain a second score, the IP detection algorithm scores a pair of network IP addresses a based on the rule to obtain a third score, and the first score, the second score, and the third score are summed to obtain the score of the network IP address a, thereby obtaining the abnormal probability of the network IP address a. Further, if the score of the network IP address is less than or equal to 100, the score is divided by 100 to obtain the abnormal probability of the network IP address. If the score of the network IP address is larger than 100, the abnormal probability of the network IP address is 1. For example, if the score one is 70 points, the score two is 80 points, and the score three is 20 points, the score of the network IP address is 170 points, and the anomaly probability of the network IP address is 1. The preset IP detection rule may be set according to actual needs, which is not specifically limited in the embodiment of the present application.
Secondly, if the abnormal probability of the network IP address is larger than or equal to a preset third threshold value, determining that the network IP address is an abnormal IP address, and determining that the equipment to be tested corresponding to the network IP address is abnormal equipment to be tested.
For example, the third threshold may be 0.75, and if the probability of abnormality of the network IP address is 0.8, the network IP address is an abnormal IP address, and it is determined that the device to be tested corresponding to the network IP address is an abnormal device to be tested.
Thirdly, if the abnormal probability of the network IP address is smaller than a preset third threshold value, determining that the network IP address is a normal IP address, and determining that the equipment to be tested corresponding to the network IP address is normal equipment to be tested.
In this embodiment of the application, if the proportion of the abnormal electronic device in the at least one electronic device is smaller than the preset second threshold and the network IP address corresponding to the device to be tested is the normal IP address, the device to be tested is the normal device to be tested.
And S104, determining a second state of the device to be tested based on the first state of each electronic device, wherein the second state comprises a second label set corresponding to the device to be tested and the attribute of the device to be tested, and the attribute comprises abnormity and normality.
In the embodiment of the application, a second label set corresponding to the equipment to be tested is determined through a first label set of at least one piece of electronic equipment connected with the same network IP address; and determining the attribute of the equipment to be tested through the abnormal probability of at least one electronic device connected with the same network IP address.
As an optional embodiment, the first tag set includes at least one tag and a time period corresponding to each tag, where the time period corresponding to the tag is a valid time period of the tag on the electronic device. Specifically, as shown in fig. 2, in the method for detecting the state of the device under test, a flowchart for determining the second attribute of the device under test is provided, and the determining the second attribute of the device under test based on the first attribute of each electronic device includes steps S201 to S203, where the specific process is as follows:
s201, extracting labels from a first label set corresponding to each electronic device.
S202, judging whether the same label exists in the extracted at least one label or not, if so, combining the same label to obtain at least one combined label; and obtaining the time period corresponding to the combined label based on the time period corresponding to each label in the same label.
And S203, the combined at least one label and the time period corresponding to each label form a second label set corresponding to the device to be tested.
In the embodiment of the application, the first label set of each electronic device and the time period corresponding to each label can be obtained through a thousand-person-thousand-face algorithm. For example, if the network IP address corresponding to the device B to be tested is the network IP address B, and the at least one electronic device connected to the network IP address B includes the device a, the device B, and the device C, the first tag sets of the device a, the device B, and the device C are respectively obtained through a thousand-person-thousand-face algorithm, for example, the first tag set of the device a includes: labeling: news, time period: 07:00-08: 00; labeling: game, time period: 21: 30-22: 00; labeling: music, time period: 22:30-23: 00; the first set of tags for device B includes: labeling: shopping, time period: 20:30-21: 00; labeling: english, time period: 21:00-22: 00; labeling: music, time period: 22:00-22: 20; the first set of tags for device C includes: labeling: english, time period: 06:00-07: 00; labeling: news, time period: 07: 30-08: 30; labeling: video, time period: 20:30-21: 30; the extracted tags include: labeling: news, time period: 07:00-08: 00; labeling: game, time period: 21: 30-22: 00; labeling: music, time period: 22:30-23: 00; labeling: shopping, time period: 20:30-21: 00; labeling: english, time period: 21:00-22: 00; labeling: music, time period: 22:00-22: 20; labeling: english, time period: 06:00-07: 00; labeling: news, time period: 07: 30-08: 30; labeling: video, time period: 20:30-21: 30; the same labels exist in news, music and English in the extracted labels, and the same labels are combined to obtain at least one combined label; and obtaining a time period corresponding to the combined label based on the time period corresponding to each label in the same labels, namely the second label set corresponding to the device to be tested is: labeling: news, time period: 07:00-08: 30; labeling: game, time period: 21: 30-22: 00; labeling: music, time period: 22:00-22:20, 22:30-23: 00; labeling: english, time period: 06:00-07:00, 21:00-22: 00; labeling: shopping, time period: 20:30-21: 00; labeling: video, time period: 20:30-21:30.
As an alternative embodiment, determining the attribute of the device under test includes:
and if the equipment to be tested is abnormal equipment to be tested, the attribute of the equipment to be tested is abnormal.
And if the equipment to be tested is normal equipment to be tested, the attribute of the equipment to be tested is normal.
As an optional embodiment, after determining the state of the device under test, the method according to the embodiment of the present application further includes:
if the attribute of the equipment to be tested is abnormal, forbidding distributing services for the equipment to be tested;
and if the attribute of the equipment to be tested is normal, sending the service with the service label matched with the second label set of the equipment to be tested to the equipment to be tested so that the equipment to be tested executes the service in the time period corresponding to the label.
In the embodiment of the application, the service distribution for the device to be tested can be advertisement delivery to the device to be tested. For example, if the attribute of the device to be tested is abnormal, the advertisement is prohibited from being delivered to the device to be tested, so that the abnormal flow value of the advertisement can be reduced; and if the attribute of the equipment to be tested is normal, putting the advertisement with the advertisement label matched with the second label set of the equipment to be tested in the time period corresponding to the label. Illustratively, if the attribute of the device under test E is normal, the second tag set includes: labeling: news, time period: 07:00-08: 30; labeling: game, time period: 21: 30-22: 00; labeling: music, time period: 22:00-22:20, 22:30-23: 00; the advertisement may be tagged as a news advertisement for a time period ranging from 07:00 to 08:30, and placed on the device E under test, or/and the advertisement may be tagged as a game advertisement, at 21: and putting the advertisement labeled music on the equipment to be tested E within a time period of 30-22:00, or/and putting the advertisement labeled music on the equipment to be tested E within a time period of 22:00-22:20 and 22:30-23: 00. According to the embodiment of the application, the advertisement corresponding to the second label set can be put on the equipment to be tested based on the second label set of the equipment to be tested, and the advertisement putting effect is improved.
The embodiment of the application provides a method for detecting the state of equipment to be detected, which comprises the following steps: acquiring a network Internet Protocol (IP) address corresponding to the equipment to be tested based on the first identification information of the equipment to be tested; determining at least one electronic device connected to the network IP address based on the network IP address; determining a first state of at least one piece of electronic equipment based on a preset algorithm, wherein the first state comprises a first tag set and the abnormal probability of the electronic equipment; and determining a second state of the equipment to be tested based on the first state of each piece of electronic equipment, wherein the second state comprises a second label set corresponding to the equipment to be tested and the attribute of the equipment to be tested, and the attribute comprises abnormity and normality. The method for detecting the state of the device to be tested, provided by the embodiment of the application, includes determining at least one electronic device connected with the device to be tested at the same network IP address, determining a second tag set of the device to be tested based on a first tag set of the at least one electronic device, and determining the attribute of the device to be tested according to the abnormal probability of the at least one electronic device. The behavior data of the electronic equipment is comprehensive, so that the obtained first state of the electronic equipment is accurate based on the behavior data of the electronic equipment, when the behavior data of the equipment to be tested is sparse, the determined second state of the equipment to be tested is accurate through the first state of at least one electronic equipment, and the accuracy of detecting the state of the equipment to be tested is improved.
Based on the same inventive concept, the embodiment of the present application further provides a device for detecting a state of a device to be detected, which corresponds to the method for detecting a state of a device to be detected.
Example two
An embodiment of the present application provides an apparatus for detecting a state of a device under test, refer to a schematic structural diagram of the apparatus for detecting a state of a device under test shown in fig. 3, where the apparatus includes:
an address obtaining module 301, configured to obtain, based on the first identification information of the device to be tested, a network internet protocol IP address corresponding to the device to be tested;
an electronic device determining module 302, configured to determine, based on a network IP address, at least one electronic device connected to the network IP address;
a first state determining module 303, configured to determine a first state of the at least one electronic device based on a preset algorithm, where the first state includes a first tag set and an abnormal probability of the electronic device;
the second state determining module 304 determines a second state of the device under test based on the first state of each electronic device, where the second state includes a second tag set corresponding to the device under test and attributes of the device under test, and the attributes include abnormal and normal.
As an optional embodiment, the first tag set includes at least one tag and a time period corresponding to each tag, where the time period corresponding to the tag is a valid time period of the tag on the electronic device;
a second state determination module that determines a second state of the device under test using the following steps:
extracting tags from a first tag set corresponding to each electronic device;
judging whether the same label exists in the extracted at least one label, if so, combining the same label to obtain at least one combined label; obtaining a time period corresponding to the combined label based on the time period corresponding to each label in the same labels;
and the combined at least one label and the time period corresponding to each label form a second label set corresponding to the equipment to be tested.
As an optional embodiment, after determining the first state of the at least one electronic device based on a preset algorithm, the apparatus further comprises:
the first judgment module is used for judging whether the acquired abnormal probability of each electronic device is greater than a preset first threshold value or not, and if so, the electronic device is an abnormal electronic device;
the statistical module is used for counting the proportion of abnormal electronic equipment in at least one piece of electronic equipment;
the second judgment module is used for judging whether the ratio is larger than a preset second threshold value or not, and if yes, the equipment to be tested is abnormal equipment to be tested; and if not, detecting the network IP address corresponding to the equipment to be detected.
As an optional embodiment, the second determining module detects the network IP address corresponding to the device under test by using the following steps:
determining the abnormal probability of the network IP address based on a preset IP detection algorithm;
if the abnormal probability of the network IP address is larger than or equal to a preset third threshold value, determining that the network IP address is an abnormal IP address, and determining that the equipment to be tested corresponding to the network IP address is abnormal equipment to be tested;
if the abnormal probability of the network IP address is smaller than a preset third threshold value, determining that the network IP address is a normal IP address, and determining that the equipment to be tested corresponding to the network IP address is normal equipment to be tested.
As an optional embodiment, the second state determining module determines the attribute of the device under test by using the following steps:
if the equipment to be tested is abnormal equipment to be tested, the attribute of the equipment to be tested is abnormal;
and if the equipment to be tested is normal equipment to be tested, the attribute of the equipment to be tested is normal.
As an alternative embodiment, the apparatus further comprises:
the first service distribution module is used for forbidding to distribute services to the equipment to be tested if the attribute of the equipment to be tested is abnormal;
and the second service distribution module is used for sending the service with the service label matched with the second label set of the equipment to be tested to the equipment to be tested if the attribute of the equipment to be tested is normal, so that the equipment to be tested executes the service in a time period corresponding to the label.
The device for detecting the state of the device to be detected provided by the embodiment of the application has the same technical characteristics as the method for detecting the state of the device to be detected provided by the first embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
EXAMPLE III
Based on the same technical concept, the embodiment of the application also provides the electronic equipment. Referring to fig. 4, a schematic structural diagram of an electronic device 400 provided in the embodiment of the present application includes a processor 401, a memory 402, and a bus 403. The memory 402 is used for storing execution instructions and includes a memory 4021 and an external memory 4022; the memory 4021 is also referred to as an internal memory, and is configured to temporarily store operation data in the processor 401 and data exchanged with the external memory 4022 such as a hard disk, the processor 401 exchanges data with the external memory 4022 through the memory 4021, and when the electronic device 400 operates, the processor 401 communicates with the memory 402 through the bus 403, so that the processor 401 executes the following instructions:
acquiring a network Internet Protocol (IP) address corresponding to the equipment to be tested based on the first identification information of the equipment to be tested;
determining at least one electronic device connected to the network IP address based on the network IP address;
determining a first state of the at least one electronic device based on a preset algorithm, wherein the first state comprises a first tag set and the abnormal probability of the electronic device;
and determining a second state of the device to be tested based on the first state of each electronic device, wherein the second state comprises a second tag set corresponding to the device to be tested and attributes of the device to be tested, and the attributes comprise abnormal and normal.
In one possible design, the instructions that may be executed by processor 401 further include:
the first tag set comprises at least one tag and a time period corresponding to each tag, wherein the time period corresponding to the tag is an effective time period of the tag on the electronic equipment;
the determining the second state of the device under test based on the first state of each electronic device includes:
extracting tags from a first tag set corresponding to each electronic device;
judging whether the same label exists in the extracted at least one label, if so, combining the same label to obtain at least one combined label; obtaining a time period corresponding to the combined label based on the time period corresponding to each label in the same labels;
and the combined at least one label and the time period corresponding to each label form a second label set corresponding to the equipment to be tested.
In one possible design, the instructions that may be executed by processor 401 further include:
judging whether the acquired abnormal probability of each electronic device is greater than a preset first threshold, if so, determining that the electronic device is an abnormal electronic device;
counting the occupation ratio of abnormal electronic equipment in at least one piece of electronic equipment;
judging whether the ratio is larger than a preset second threshold value or not, if so, determining that the equipment to be tested is abnormal equipment to be tested;
and if not, detecting the network IP address corresponding to the equipment to be detected.
In one possible design, the instructions that may be executed by processor 401 further include:
the detecting the network IP address corresponding to the device to be detected includes:
determining the abnormal probability of the network IP address based on a preset IP detection algorithm;
if the abnormal probability of the network IP address is larger than or equal to a preset third threshold value, determining that the network IP address is an abnormal IP address, and determining that the equipment to be tested corresponding to the network IP address is abnormal equipment to be tested;
if the abnormal probability of the network IP address is smaller than a preset third threshold value, determining that the network IP address is a normal IP address, and determining that the equipment to be tested corresponding to the network IP address is normal equipment to be tested.
In one possible design, the instructions that may be executed by processor 401 further include:
if the equipment to be tested is abnormal equipment to be tested, the attribute of the equipment to be tested is abnormal;
and if the equipment to be tested is normal equipment to be tested, the attribute of the equipment to be tested is normal.
In one possible design, the instructions that may be executed by processor 401 further include:
if the attribute of the equipment to be tested is abnormal, forbidding to distribute services for the equipment to be tested;
and if the attribute of the equipment to be tested is normal, sending the service with the service label matched with the second label set of the equipment to be tested to the equipment to be tested, so that the equipment to be tested executes the service in a time period corresponding to the label.
Example four
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method for detecting a state of a device under test in any of the above embodiments is performed.
Specifically, the storage medium can be a general-purpose storage medium, such as a removable disk, a hard disk, and the like, and when a computer program on the storage medium is executed, the steps of the method for detecting the state of the device under test can be executed, so as to improve the accuracy of detecting the state of the device under test.
The computer program product for performing the method for detecting the state of the device under test provided in the embodiment of the present application includes a computer-readable storage medium storing a nonvolatile program code executable by a processor, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, and is not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: those skilled in the art can still make modifications or changes to the embodiments described in the foregoing embodiments, or make equivalent substitutions for some features, within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (9)

1. A method of detecting a state of a device under test, the method comprising:
acquiring a network Internet Protocol (IP) address corresponding to the equipment to be tested based on the first identification information of the equipment to be tested;
determining at least one electronic device connected to the network IP address based on the network IP address;
determining a first state of the at least one electronic device based on a preset algorithm, wherein the first state comprises a first tag set and an abnormal probability of the electronic device;
judging whether the acquired abnormal probability of each electronic device is greater than a preset first threshold, if so, determining that the electronic device is an abnormal electronic device;
counting the occupation ratio of abnormal electronic equipment in at least one piece of electronic equipment;
judging whether the ratio is larger than a preset second threshold value or not, if so, determining that the equipment to be tested is abnormal equipment to be tested;
if not, detecting the network IP address corresponding to the equipment to be detected;
and determining a second state of the device to be tested based on the first state of each electronic device, wherein the second state comprises a second tag set corresponding to the device to be tested and attributes of the device to be tested, and the attributes comprise abnormal and normal.
2. The method of claim 1, wherein the first set of tags includes at least one tag and a time period corresponding to each tag, the time period corresponding to each tag being a time period in which the tag is valid on the electronic device;
the determining the second state of the device under test based on the first state of each electronic device includes:
extracting tags from a first tag set corresponding to each electronic device;
judging whether the same label exists in the extracted at least one label, if so, combining the same label to obtain at least one combined label; obtaining a time period corresponding to the combined label based on the time period corresponding to each label in the same labels;
and the combined at least one label and the time period corresponding to each label form a second label set corresponding to the equipment to be tested.
3. The method according to claim 1, wherein the detecting the network IP address corresponding to the device under test comprises:
determining the abnormal probability of the network IP address based on a preset IP detection algorithm;
if the abnormal probability of the network IP address is larger than or equal to a preset third threshold value, determining that the network IP address is an abnormal IP address, and determining that the equipment to be tested corresponding to the network IP address is abnormal equipment to be tested;
if the abnormal probability of the network IP address is smaller than a preset third threshold value, determining that the network IP address is a normal IP address, and determining that the equipment to be tested corresponding to the network IP address is normal equipment to be tested.
4. The method of claim 3, wherein determining attributes of the device under test comprises:
if the equipment to be tested is abnormal equipment to be tested, the attribute of the equipment to be tested is abnormal;
and if the equipment to be tested is normal equipment to be tested, the attribute of the equipment to be tested is normal.
5. The method of claim 1, further comprising:
if the attribute of the equipment to be tested is abnormal, forbidding to distribute services for the equipment to be tested;
and if the attribute of the equipment to be tested is normal, sending the service with the service label matched with the second label set of the equipment to be tested to the equipment to be tested, so that the equipment to be tested executes the service in a time period corresponding to the label.
6. An apparatus for detecting a state of a device under test, the apparatus comprising:
the address acquisition module is used for acquiring a network Internet Protocol (IP) address corresponding to the equipment to be detected based on the first identification information of the equipment to be detected;
the electronic equipment determining module is used for determining at least one piece of electronic equipment connected with the network IP address based on the network IP address;
the first state determining module is used for determining a first state of the at least one electronic device based on a preset algorithm, wherein the first state comprises a first tag set and the abnormal probability of the electronic device;
the first judgment module is used for judging whether the acquired abnormal probability of each electronic device is greater than a preset first threshold value or not, and if so, the electronic device is an abnormal electronic device;
the statistical module is used for counting the proportion of abnormal electronic equipment in at least one piece of electronic equipment;
the second judgment module is used for judging whether the ratio is larger than a preset second threshold value or not, and if so, the equipment to be tested is abnormal equipment to be tested; if not, detecting the network IP address corresponding to the equipment to be detected;
and the second state determining module is used for determining the second state of the equipment to be tested based on the first state of each piece of electronic equipment, wherein the second state comprises a second label set corresponding to the equipment to be tested and the attribute of the equipment to be tested, and the attribute comprises abnormity and normality.
7. The apparatus of claim 6, wherein the first set of tags includes at least one tag and a time period corresponding to each tag, the time period corresponding to each tag being a valid time period of the tag on the electronic device;
a second state determination module that determines a second state of the device under test using the following steps:
extracting tags from a first tag set corresponding to each electronic device;
judging whether the same label exists in the extracted at least one label, if so, combining the same label to obtain at least one combined label; obtaining a time period corresponding to the combined label based on the time period corresponding to each label in the same labels;
and the combined at least one label and the time period corresponding to each label form a second label set corresponding to the equipment to be tested.
8. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the method of detecting a state of a device under test as claimed in any one of claims 1 to 5.
9. A computer-readable storage medium, having stored thereon a computer program for performing, when being executed by a processor, the steps of the method for detecting a state of a device under test according to any one of claims 1 to 5.
CN201910908674.4A 2019-09-25 2019-09-25 Method and device for detecting state of equipment to be detected Active CN110689373B (en)

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