CN111414304A - APP feature identification method and device - Google Patents
APP feature identification method and device Download PDFInfo
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- CN111414304A CN111414304A CN202010189028.XA CN202010189028A CN111414304A CN 111414304 A CN111414304 A CN 111414304A CN 202010189028 A CN202010189028 A CN 202010189028A CN 111414304 A CN111414304 A CN 111414304A
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- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3604—Software analysis for verifying properties of programs
Abstract
The invention discloses an APP feature identification method and device, wherein the method comprises the following steps: acquiring APP data from a preset APP data source; installing corresponding APP to a test terminal based on the APP data; acquiring domain name access information of the APP according to a data message in the APP operation process on the test terminal; and determining the result of the APP feature identification according to the reliability of the domain name access information, thereby improving the efficiency of the APP feature identification on the basis of not increasing the cost when a large amount of APP feature identification is carried out.
Description
Technical Field
The present application relates to the field of big data technologies, and in particular, to an APP feature identification method and device.
Background
The APP (Application) feature analysis is to obtain domain name information accessed during the running of the APP by analyzing a data message during the running of the APP. The generated domain name information is generally applied to Deep Packet Inspection (DPI) technology to identify specific APP traffic.
At present, the APP characteristic analysis generally adopts a manual packet capturing analysis mode, a hardware design diagram is shown in fig. 2, the current mainstream packet capturing software wireshark installed on a packet capturing server is adopted to capture the IP data packet corresponding to the test mobile phone manually, then the data packet corresponding to the APP is analyzed according to personal experience, however, when a large amount of APP characteristic identification needs to be carried out, a large amount of labor is needed, the cost is increased, and the identification efficiency is reduced.
Therefore, how to improve the efficiency of APP feature identification without increasing the cost is a technical problem to be solved at present.
Disclosure of Invention
The invention provides an APP feature identification method, which is used for solving the technical problems of high cost and low identification efficiency when a large number of APP features are identified in the prior art, and comprises the following steps:
acquiring APP data from a preset APP data source, wherein the APP data at least comprises an APP name, a developer, a download address and an APP description;
installing corresponding APP to a test terminal based on the APP data;
acquiring domain name access information of the APP according to a data message in the APP operation process on the test terminal;
and determining the result of the APP feature identification according to the credibility of the domain name access information, wherein the credibility is determined according to the matching result of the domain name access information and the APP data.
Preferably, before determining the result of the APP feature recognition according to the reliability of the domain name access information, the method further includes:
determining a first matching result according to domain name spelling information corresponding to the domain name access information and the APP data;
determining a second matching result according to a domain name access result corresponding to the domain name access information and the APP data;
and determining the credibility according to the first matching result and/or the second matching result.
Preferably, the determining the first matching result according to the domain name spelling information corresponding to the domain name access information and the APP data specifically includes:
determining first spelling information based on the APP data, wherein the first spelling information comprises full spellings of APP names, initials of the APP names, a manner of adopting initials behind the full spellings of the developer names, initials of the developer names, and a manner of adopting initials behind the full spellings of the developer names;
determining the first match result based on matching the domain name spelling information and the first spelling information.
Preferably, a second matching result is determined according to the domain name access result corresponding to the domain name access information and the APP data;
determining first name information based on the APP data, wherein the first name information comprises APP name information and developer name information;
determining the domain name access result based on accessing a full domain name and a main domain name corresponding to the domain name access information, wherein the domain name access result comprises header information and webpage text information;
determining the second matching result based on matching the domain name access result with the first name information.
Preferably, the obtaining of the domain name access information of the APP according to the data packet in the process of operating the APP on the test terminal specifically includes:
acquiring original domain name access information based on the data message, and outputting the original domain name access information to a log file;
determining a domain name of which the occurrence frequency in the original domain name access information exceeds a preset threshold value based on the log file, wherein the occurrence frequency is the occurrence frequency of the domain name in historical APP operation data;
and obtaining the domain name access information based on the domain name with the occurrence frequency exceeding a preset threshold value which is filtered from the original domain name access information.
Preferably, before obtaining the domain name access information of the APP according to the data packet in the process of operating the APP on the test terminal, the method further includes:
operating the APP based on a preset operation flow, wherein the preset operation flow comprises starting the APP, clicking a button allowing the APP to use certain authority, clicking whether to skip an advertisement page button, sliding a screen to a main page of the application, clicking the next step, filling login information or registration information, and clicking the login button or the registration button;
and acquiring the data message based on the operation process.
Preferably, after the data packet is acquired based on the operation process, the method further includes:
and unloading the APP from the test terminal.
Correspondingly, the invention also provides APP feature recognition equipment, which comprises:
the device comprises a first obtaining module, a second obtaining module and a third obtaining module, wherein the first obtaining module is used for obtaining APP data from a preset APP data source, and the APP data at least comprises an APP name, a developer, a download address and an APP description;
the installation module is used for installing the corresponding APP to the test terminal based on the APP data;
the second obtaining module is used for obtaining the domain name access information of the APP according to the data message in the process of operating the APP on the test terminal;
and the determining module is used for determining the result of the APP feature identification according to the credibility of the domain name access information, wherein the credibility is determined according to the matching result of the domain name access information and the APP data.
Correspondingly, the present invention also provides a computer-readable storage medium, in which instructions are stored, and when the instructions are run on a terminal device, the terminal device is caused to execute the APP feature identification method as described in any one of the above.
Correspondingly, the invention also provides a computer program product, which when running on a terminal device, enables the terminal device to execute the APP feature identification method as described in any one of the above.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses an APP feature identification method and device, wherein the method comprises the following steps: acquiring APP data from a preset APP data source; installing corresponding APP to a test terminal based on the APP data; acquiring domain name access information of the APP according to a data message in the APP operation process on the test terminal; and determining the result of the APP feature identification according to the reliability of the domain name access information, thereby improving the efficiency of the APP feature identification on the basis of not increasing the cost when a large amount of APP feature identification is carried out.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 shows a schematic flowchart of an APP feature identification method according to an embodiment of the present invention;
FIG. 2 shows a hardware design diagram of APP feature recognition in the prior art;
fig. 3 is a schematic flowchart illustrating an APP feature recognition method according to another embodiment of the present invention;
fig. 4 is a schematic flowchart illustrating an APP feature recognition method according to another embodiment of the present invention;
fig. 5 shows a schematic structural diagram of an APP feature recognition device according to an embodiment of the present invention;
FIG. 6 shows a hardware design diagram of APP feature recognition in the embodiment of the present invention.
Detailed Description
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 of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As described in the background art, in the prior art, when a large number of APP features are identified, the cost is high and the identification efficiency is low.
In order to solve the above problem, an embodiment of the present application provides an APP feature identification method, in which APP data is obtained from a preset APP data source; installing corresponding APP to a test terminal based on the APP data; acquiring domain name access information of the APP according to a data message in the APP operation process on the test terminal; and determining the result of the APP feature identification according to the reliability of the domain name access information, thereby improving the efficiency of the APP feature identification on the basis of not increasing the cost when a large amount of APP feature identification is carried out.
Fig. 1 is a schematic flow chart of an APP feature identification method according to an embodiment of the present invention, where the method includes the following steps:
step 101, obtaining APP data from a preset APP data source, wherein the APP data at least comprises an APP name, a developer, a download address and an APP description.
Specifically, in a specific application scenario of the application, the preset APP data source may be a mainstream mobile phone application store, an address of the mainstream mobile phone application store is automatically accessed in a browser at the PC end in a simulated manual mode, and APP data is acquired according to a webpage html element in a webpage version of the mainstream mobile phone application store. For example, a Python program is used to operate an automated testing framework Selenium to simulate manual work to access a webpage version of a mainstream mobile phone application store in a browser of a PC (personal computer) end, and a series of information such as an APP name, a developer, a download address and a related description are obtained according to html elements of the webpage.
It should be noted that, in order to further process the APP data subsequently, the obtained APP data at least includes information such as APP name, developer, download address, and APP description. The above manner of obtaining the APP data is only an example provided by the preferred embodiment of the present application, and on this basis, the APP data may be obtained from the preset APP data source by selecting other forms, so that the present application is applicable to more application scenarios, and these improvements all belong to the protection scope of the present invention.
The simulation manual mode can be implemented by operating an automatic test framework Selenium simulation manual operation through a Python program, or by operating an automatic test framework Apium simulation manual operation through a mobile phone end through the Python program or by other related technologies, and a series of machine automatic simulation manual operations such as automatic access, simulated click, information filling and the like are implemented.
And 102, installing the corresponding APP to the test terminal based on the APP data.
Specifically, the obtained APP data comprises an APP download address, the APP download address is automatically accessed in a browser of a PC (personal computer) end in a simulated manual mode, a download program is used for downloading a corresponding APP installation package to a mobile phone or other test terminals, and the APP is automatically installed.
Wherein, because mainstream cell-phone APP store is continuously updated, for the APP of guaranteeing the test is the latest version, avoids the duplicate installation APP again, can come all APP lists of automatic acquisition mainstream cell-phone APP store with certain fixed time interval, the automatic APP increment list that acquires in the time interval to according to the APP data of acquireing APP increment list, download corresponding APP increment installation package.
103, obtaining domain name access information of the APP according to the data message in the APP operation process on the test terminal.
Specifically, after the APP on the test terminal is installed, the APP is operated in a simulated manual mode based on a preset operation flow, the data message in the operation process is captured, and domain name access information contained in the data message is analyzed, wherein the domain name access information comprises a main domain name and a full domain name.
The preset operation flow comprises starting the APP, clicking a button allowing the APP to use certain permissions, clicking a button whether to skip the advertisement page, sliding a screen to a main page of the application, clicking the next step, filling login information or registration information, and clicking the login button or the registration button.
In order to save the storage space of the testing mobile phone, reduce the number of APPs running in the background of the mobile phone and reduce the interference of other APPs on the current testing APP, after the data message is acquired for the APP based on the operation process, the APP is automatically unloaded from the testing terminal.
And 104, determining the APP feature identification result according to the reliability of the domain name access information, wherein the reliability is determined according to the matching result of the domain name access information and the APP data.
Specifically, the credibility of the domain name access information is a comprehensive score determined according to the matching result of the domain name access information and the APP data, and only the credible domain name information accessed during the operation of the APP needs to be obtained according to the score condition, so that the processes of manually capturing packages, analyzing data packages and the like are omitted.
The grading of the credibility can specifically set different matching grading mechanisms according to actual application conditions, and in actual operation, thousands of mobile phone APPs can be operated by a single test mobile phone one day, so that the aim of stopping the mobile phone within 24 hours is fulfilled.
By applying the technical scheme, APP data are obtained from a preset APP data source; installing corresponding APP to a test terminal based on the APP data; acquiring domain name access information of the APP according to a data message in the APP operation process on the test terminal; and determining the result of the APP feature identification according to the reliability of the domain name access information, thereby improving the efficiency of the APP feature identification on the basis of not increasing the cost when a large amount of APP feature identification is carried out.
In order to obtain the reliability of accurate domain name access information, as shown in fig. 3, a flowchart of an APP feature identification method according to another embodiment of the present invention is shown, and the method includes the following steps:
step 301, obtaining APP data from a preset APP data source.
The preset APP data source can be a mainstream mobile phone application store, the address of the mainstream mobile phone application store is automatically accessed in a browser of a PC (personal computer) end in a simulated manual mode, APP data are obtained according to webpage html elements in a webpage version of the mainstream mobile phone application store, and the obtained APP data at least comprise a series of information such as an APP name, a developer, a download address and an APP description.
Step 302, installing the corresponding APP to the test terminal based on the APP data.
Step 303, obtaining domain name access information of the APP according to the data packet in the process of operating the APP on the test terminal.
After the APP on the test terminal is installed, the APP is operated in a simulated manual mode based on a preset operation flow, the data message in the operation process is captured, and domain name access information contained in the data message is analyzed, wherein the domain name access information comprises a main domain name and a full domain name.
And step 304, determining a first matching result according to domain name spelling information corresponding to the domain name access information and the APP data.
Determining first spelling information based on the APP data, wherein the first spelling information comprises a full spelling of an APP name, a consonant of the APP name, a manner of using the consonant after the full spelling of the initial letter of the APP name, a full spelling of a developer name, a consonant of the developer name, and a manner of using the consonant after the full spelling of the initial letter of the developer name, and determining the first matching result based on matching the domain name spelling information with the first spelling information.
Some APP developers often adopt the spelling mode of the APP names or the developer names when defining own domain names, so that the first spelling information is obtained according to the obtained APP data, and the spelling information is matched with the domain name spelling information corresponding to the domain name access information to obtain a first matching result.
Determining first name information based on the APP data, wherein the first name information comprises APP name information and developer name information, determining a domain name access result based on accessing a full domain name and a main domain name corresponding to the domain name access information, wherein the domain name access result comprises title information and webpage text information, and determining a second matching result based on matching the domain name access result with the first name information.
Specifically, the full domain name and the main domain name are automatically accessed in a browser of a PC (personal computer) end in a simulated manual mode, the full domain name and the main domain name are automatically accessed in a browser of a mobile phone end, text information in a website, such as a title and text information in a webpage, is acquired, and the first name information determined based on the APP data is compared in the following mode:
a. and matching the APP name information with the webpage text information, verifying whether full word matching can be performed, and if not, adopting partial matching.
b. The developer name information is used for matching with the webpage content, generally, large APP developers all use company names as developers, and accessed website content contains the company information and is verified whether full-word matching and/or partial matching can be achieved.
When the above-mentioned method can only partially match, the reliability of the matching result is affected.
According to different specific implementation scenarios, the first matching result and the second matching result may be combined, and a combined score may be obtained in a weighting manner to determine the reliability of the domain name access information, or any one of the matching results may be used alone to perform the score to determine the reliability of the domain name access information.
And 307, determining the APP feature recognition result according to the reliability.
By applying the technical scheme, APP data are obtained from a preset APP data source; installing corresponding APP to a test terminal based on the APP data; acquiring domain name access information of the APP according to a data message in the APP operation process on the test terminal; and determining the result of the APP feature identification according to the reliability of the domain name access information, thereby improving the efficiency of the APP feature identification on the basis of not increasing the cost when a large amount of APP feature identification is carried out.
In order to obtain accurate domain name access information, as shown in fig. 4, a schematic flow diagram of an APP feature identification method according to another embodiment of the present invention is provided, including the following steps:
step 401, obtaining APP data from a preset APP data source.
The preset APP data source can be a mainstream mobile phone application store, the address of the mainstream mobile phone application store is automatically accessed in a browser of a PC (personal computer) end in a simulated manual mode, APP data are obtained according to webpage html elements in a webpage version of the mainstream mobile phone application store, and the obtained APP data at least comprise a series of information such as an APP name, a developer, a download address and an APP description.
Step 402, installing the corresponding APP to the test terminal based on the APP data.
Step 403, obtaining original domain name access information based on the data packet in the process of operating the APP on the test terminal, and outputting the original domain name access information to a log file.
After the APP on the test terminal is installed, the APP is operated in a simulated manual mode based on a preset operation flow, a data message in the operation process is captured, original domain name access information is obtained based on the data message, and the original domain name access information is output to a log file, wherein the original domain name access information comprises a main domain name and a full domain name.
Step 404, determining, based on the log file, a domain name whose occurrence frequency in the original domain name access information exceeds a preset threshold, where the occurrence frequency is the occurrence frequency of the domain name in historical APP operation data.
Generally speaking, a certain website cannot appear in multiple unrelated APPs, and a part of invalid domain names are filtered out by reading a log file according to the times of the original domain name access information appearing in the APP which is operated before.
For example, the test terminal runs 1000 APPs, and the same domain name appears during the running period of 100 APPs, and exceeds the preset threshold 50, then we consider the domain name as an invalid domain name. Of course, the accuracy of the filtering mode can be increased along with the increase of the number of the running APPs, the domain name appears in the APP numbers as invalid, and corresponding adjustment can be carried out according to actual conditions.
Step 405, obtaining domain name access information based on the domain name whose occurrence number exceeds a preset threshold value, which is filtered from the original domain name access information.
And filtering the invalid domain name in the step in the original domain name access information to obtain the domain name access information with higher credibility.
And 406, determining the result of the APP feature identification according to the reliability of the domain name access information.
And determining a comprehensive score according to the matching result of the domain name access information and the APP data, and only obtaining the credible domain name information accessed during the operation of the APP according to the score condition, thereby saving the processes of manually capturing a packet, analyzing a data packet and the like.
The grading of the credibility can specifically set different matching grading mechanisms according to actual application conditions, and in actual operation, thousands of mobile phone APPs can be operated by a single test mobile phone one day, so that the aim of stopping the mobile phone within 24 hours is fulfilled.
By applying the technical scheme, APP data are obtained from a preset APP data source; installing corresponding APP to a test terminal based on the APP data; acquiring domain name access information of the APP according to a data message in the APP operation process on the test terminal; and determining the result of the APP feature identification according to the reliability of the domain name access information, thereby improving the efficiency of the APP feature identification on the basis of not increasing the cost when a large amount of APP feature identification is carried out.
In order to achieve the above technical object, an embodiment of the present application further provides an APP feature recognition device, as shown in fig. 5, the APP feature recognition device includes:
a first obtaining module 501, configured to obtain APP data from a preset APP data source, where the APP data at least includes an APP name, a developer, a download address, and an APP description;
an installation module 502, configured to install a corresponding APP to a test terminal based on the APP data;
a second obtaining module 503, configured to obtain domain name access information of the APP according to a data packet in the process of operating the APP on the test terminal;
a determining module 504, configured to determine a result of the APP feature identification according to a reliability of the domain name access information, where the reliability is determined according to a matching result of the domain name access information and the APP data.
Fig. 6 shows a hardware design diagram of APP feature identification in the embodiment of the present invention, where a WiFi connection is used between a wireless router and a test handset, a data line connection is used between a server and the test handset, and other parts may be connected by an optical fiber or a network cable.
By applying the technical scheme, APP data are obtained from a preset APP data source; installing corresponding APP to a test terminal based on the APP data; acquiring domain name access information of the APP according to a data message in the APP operation process on the test terminal; and determining the result of the APP feature identification according to the reliability of the domain name access information, thereby improving the efficiency of the APP feature identification on the basis of not increasing the cost when a large amount of APP feature identification is carried out.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. An APP feature identification method is characterized by comprising the following steps:
acquiring APP data from a preset APP data source, wherein the APP data at least comprises an APP name, a developer, a download address and an APP description;
installing corresponding APP to a test terminal based on the APP data;
acquiring domain name access information of the APP according to a data message in the APP operation process on the test terminal;
and determining the result of the APP feature identification according to the credibility of the domain name access information, wherein the credibility is determined according to the matching result of the domain name access information and the APP data.
2. The method of claim 1, further comprising, prior to determining the result of the APP feature recognition based on the confidence level of the domain name access information:
determining a first matching result according to domain name spelling information corresponding to the domain name access information and the APP data;
determining a second matching result according to a domain name access result corresponding to the domain name access information and the APP data;
and determining the credibility according to the first matching result and/or the second matching result.
3. The method according to claim 2, wherein determining a first matching result according to domain name spelling information corresponding to the domain name access information and the APP data specifically comprises:
determining first spelling information based on the APP data, wherein the first spelling information comprises full spellings of APP names, initials of the APP names, a manner of adopting initials behind the full spellings of the developer names, initials of the developer names, and a manner of adopting initials behind the full spellings of the developer names;
determining the first match result based on matching the domain name spelling information and the first spelling information.
4. The method of claim 2, wherein a second matching result is determined according to a domain name access result corresponding to the domain name access information and the APP data;
determining first name information based on the APP data, wherein the first name information comprises APP name information and developer name information;
determining the domain name access result based on accessing a full domain name and a main domain name corresponding to the domain name access information, wherein the domain name access result comprises header information and webpage text information;
determining the second matching result based on matching the domain name access result with the first name information.
5. The method according to claim 1, wherein the obtaining of the domain name access information of the APP according to the data packet in the process of operating the APP on the test terminal specifically includes:
acquiring original domain name access information based on the data message, and outputting the original domain name access information to a log file;
determining a domain name of which the occurrence frequency in the original domain name access information exceeds a preset threshold value based on the log file, wherein the occurrence frequency is the occurrence frequency of the domain name in historical APP operation data;
and obtaining the domain name access information based on the domain name with the occurrence frequency exceeding a preset threshold value which is filtered from the original domain name access information.
6. The method of claim 1, before obtaining domain name access information of the APP according to a data packet in the process of operating the APP on the test terminal, further comprising:
operating the APP based on a preset operation flow, wherein the preset operation flow comprises starting the APP, clicking a button allowing the APP to use certain authority, clicking whether to skip an advertisement page button, sliding a screen to a main page of the application, clicking the next step, filling login information or registration information, and clicking the login button or the registration button;
and acquiring the data message based on the operation process.
7. The method of claim 6, wherein after obtaining the data packet based on the operational procedure, further comprising:
and unloading the APP from the test terminal.
8. An APP feature recognition device, the device comprising:
the device comprises a first obtaining module, a second obtaining module and a third obtaining module, wherein the first obtaining module is used for obtaining APP data from a preset APP data source, and the APP data at least comprises an APP name, a developer, a download address and an APP description;
the installation module is used for installing the corresponding APP to the test terminal based on the APP data;
the second obtaining module is used for obtaining the domain name access information of the APP according to the data message in the process of operating the APP on the test terminal;
and the determining module is used for determining the result of the APP feature identification according to the credibility of the domain name access information, wherein the credibility is determined according to the matching result of the domain name access information and the APP data.
9. A computer-readable storage medium having stored therein instructions that, when run on a terminal device, cause the terminal device to perform the APP feature recognition method of any one of claims 1-7.
10. A computer program product, characterized in that it, when run on a terminal device, causes the terminal device to perform the APP feature recognition method of any of claims 1-7.
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