CN108804263B - Terminal verification method, device and computer readable medium - Google Patents
Terminal verification method, device and computer readable medium Download PDFInfo
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- CN108804263B CN108804263B CN201810419326.6A CN201810419326A CN108804263B CN 108804263 B CN108804263 B CN 108804263B CN 201810419326 A CN201810419326 A CN 201810419326A CN 108804263 B CN108804263 B CN 108804263B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2247—Verification or detection of system hardware configuration
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- G—PHYSICS
- 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
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Abstract
The embodiment of the invention discloses a method and a device for terminal verification and a computer storage medium, wherein the method comprises the following steps: acquiring configuration parameters; judging whether the configuration parameters meet any one judgment condition, and if so, determining that the target terminal is a non-mobile intelligent terminal; the first judgment condition is that the GPU manufacturer parameter is a manufacturer parameter in a preset manufacturer list, the second judgment condition is that the GPU manufacturer parameter and the CPU architecture parameter are respectively a preset manufacturer parameter and a preset architecture parameter, the third judgment condition is that the brand parameter is a brand parameter in a preset brand list, the fourth judgment condition is that a corresponding target GPU renderer parameter is searched from a first parameter library according to the brand parameter and the model parameter of a target terminal, and the GPU renderer parameter is matched with the searched target GPU renderer parameter. By adopting the embodiment of the invention, the terminal type can be determined according to the configuration parameters of the terminal, and the identification rate of terminal detection is improved.
Description
Technical Field
The present invention relates to the field of computers, and in particular, to a method and an apparatus for terminal authentication, and a computer readable medium.
Background
With the continuous development of scientific technology, various terminal devices such as mobile phones and the like continuously enrich the lives of the public. Because the terminal equipment is used for processing information conveniently and quickly, the terminal becomes an indispensable part in the work and life of people. However, with the increasing popularity of terminals, the counterfeiting industry for terminal devices is quietly emerging. As a counterfeit, various counterfeit terminals imitate the style and function of a genuine terminal, so that it is difficult for consumers to respectively imitate the difference between the terminals and the genuine terminal, and the risk of being deceived on the consumers is increased. Therefore, the detection work for the authenticity of the terminal device is also gradually emphasized.
In the prior art, various software for evaluating and verifying the authenticity of a terminal can be run on terminal equipment carrying a certain operating system (such as an android system), but due to the popularization of the android system, more and more terminal equipment such as a router, a television box, a POS machine and the like also adopt the android system. In the process of detecting the terminal equipment, if the type of the terminal equipment is not distinguished, whether various configuration parameters of a certain terminal are genuine mobile intelligent terminals or fake mobile intelligent terminals or not is directly detected, the condition that the configuration parameters cannot be identified can occur, and the identification rate of terminal detection is reduced.
Disclosure of Invention
The embodiment of the invention provides a method and a device for verifying a terminal and a computer storage medium, which can determine whether the terminal is a non-mobile intelligent terminal according to configuration parameters of the terminal and improve the identification rate of terminal detection.
A first aspect provides a method for terminal authentication, the method comprising:
acquiring configuration parameters of a target terminal, wherein the configuration parameters of the target terminal comprise at least one of GPU manufacturer parameters, CPU architecture parameters, brand parameters, model parameters and GPU renderer parameters;
judging whether the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition; the first judgment condition is that the GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, the second judgment condition is that the GPU manufacturer parameter and the CPU architecture parameter of the target terminal are respectively a preset manufacturer parameter and a preset architecture parameter, the third judgment condition is that the brand parameter of the target terminal is a brand parameter in the preset brand list, the fourth judgment condition is that a corresponding target GPU renderer parameter is searched from a first parameter library according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the searched target GPU renderer parameter;
and if the configuration parameters of the target terminal meet any judgment condition, determining that the type of the target terminal is a non-mobile intelligent terminal.
In some possible embodiments, the determining whether the configuration parameter of the target terminal satisfies any one of a first determination condition, a second determination condition, a third determination condition, and a fourth determination condition includes:
step A: selecting a judgment condition as a current judgment condition;
and B: judging whether the configuration parameters of the target terminal meet the current judgment condition, if so, determining that the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition, and if not, executing the step C;
and C: and B, judging whether an undetermined judgment condition exists or not, if so, selecting an undetermined judgment condition as a current judgment condition, returning to the step B, and if not, determining that the configuration parameters of the target terminal do not meet the first judgment condition, the second judgment condition, the third judgment condition and the fourth judgment condition.
In some possible embodiments, the types of the non-mobile intelligent terminal include: the system comprises a first-class operating system simulator, a second-class operating system simulator, non-mobile intelligent terminal brand terminal equipment and a preset brand non-mobile intelligent terminal;
if the configuration parameters of the target terminal meet first judgment conditions, determining that the target terminal is a first-class operating system simulator;
if the configuration parameters of the target terminal meet a second judgment condition, determining that the target terminal is a second-class operating system simulator;
if the configuration parameters of the target terminal meet a third judgment condition, determining that the target terminal is terminal equipment of a non-mobile intelligent terminal brand;
and if the configuration parameters of the target terminal meet a fourth judgment condition, determining that the target terminal is a non-mobile intelligent terminal of a preset brand.
In some possible embodiments, the method further comprises:
counting the number and the proportion of various types of non-mobile intelligent terminals, and determining the judgment sequence of each judgment condition according to the proportion of various types of non-mobile intelligent terminals.
In some possible embodiments, if the configuration parameter of the target terminal does not satisfy the first determination condition, the second determination condition, the third determination condition, and the fourth determination condition, the method further includes:
and judging whether the target terminal is a genuine mobile intelligent terminal or not according to the configuration parameters of the target terminal.
In some possible embodiments, after the obtaining the configuration parameter of the target terminal, before the determining whether the configuration parameter of the target terminal satisfies any one of the first determination condition, the second determination condition, the third determination condition, and the fourth determination condition, the method further includes:
and judging whether the target terminal can be determined to be a genuine mobile intelligent terminal or a fake mobile intelligent terminal according to the configuration parameters of the target terminal, and if the target terminal cannot be determined to be the genuine mobile intelligent terminal or the fake mobile intelligent terminal according to the configuration parameters of the target terminal, executing the step of judging whether the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition.
A second aspect provides an apparatus for terminal authentication, the apparatus comprising:
the system comprises a parameter acquisition module, a parameter selection module and a parameter selection module, wherein the parameter acquisition module is used for acquiring configuration parameters of a target terminal, and the configuration parameters of the target terminal comprise at least one of GPU manufacturer parameters, CPU architecture parameters, brand parameters, model parameters and GPU renderer parameters;
the first judging module is used for judging whether the configuration parameters of the target terminal acquired by the parameter acquiring module meet any one of a first judging condition, a second judging condition, a third judging condition and a fourth judging condition; the first judgment condition is that the GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, the second judgment condition is that the GPU manufacturer parameter and the CPU architecture parameter of the target terminal are respectively a preset manufacturer parameter and a preset architecture parameter, the third judgment condition is that the brand parameter of the target terminal is a brand parameter in the preset brand list, the fourth judgment condition is that a corresponding target GPU renderer parameter is searched from a first parameter library according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the searched target GPU renderer parameter;
and if the first judging module judges that the configuration parameters of the target terminal meet any one judging condition, determining that the type of the target terminal is a non-mobile intelligent terminal.
In some possible embodiments, the first determining module includes:
the first selection unit is used for selecting a judgment condition as a current judgment condition;
the first judging unit is used for judging whether the configuration parameter of the target terminal acquired by the parameter acquiring module meets the current judging condition selected by the first selecting unit, and if so, determining that the configuration parameter of the target terminal meets any one of a first judging condition, a second judging condition, a third judging condition and a fourth judging condition;
the second judging unit is used for judging whether an undetermined judging condition exists or not when the first judging unit judges that the configuration parameter of the target terminal acquired by the parameter acquiring module does not meet the current judging condition selected by the first selecting unit, and if not, determining that the configuration parameter of the target terminal does not meet the first judging condition, the second judging condition, the third judging condition and the fourth judging condition;
and the second selecting unit is used for selecting an undetermined judging condition as a current judging condition and triggering the first judging unit when the second judging unit judges that the undetermined judging condition exists.
In some possible embodiments, the types of the non-mobile intelligent terminal include: the system comprises a first-class operating system simulator, a second-class operating system simulator, non-mobile intelligent terminal brand terminal equipment and a preset brand non-mobile intelligent terminal;
if the first judging module judges that the configuration parameters of the target terminal meet first judging conditions, determining that the target terminal is a first-class operating system simulator;
if the first judging module judges that the configuration parameters of the target terminal meet a second judging condition, determining that the target terminal is a second-class operating system simulator;
if the first judging module judges that the configuration parameters of the target terminal meet a third judging condition, determining that the target terminal is terminal equipment of a non-mobile intelligent terminal brand;
and if the first judging module judges that the configuration parameters of the target terminal meet a fourth judging condition, determining that the target terminal is a non-mobile intelligent terminal of a preset brand.
In some possible embodiments, the apparatus further comprises:
the statistical module is used for counting the number and the proportion of various types of non-mobile intelligent terminals;
and the first judging module determines the judging sequence of each judging condition according to the ratio of the various types of non-mobile intelligent terminals counted by the counting module.
In some possible embodiments, the apparatus further comprises:
and the second judging module is used for judging whether the target terminal is a genuine mobile intelligent terminal according to the configuration parameters of the target terminal when the first judging module judges that the configuration parameters of the target terminal do not meet the first judging condition, the second judging condition, the third judging condition and the fourth judging condition.
In some possible embodiments, the apparatus further comprises:
the third judging module is used for judging whether the target terminal can be determined to be a genuine mobile intelligent terminal or a fake mobile intelligent terminal according to the configuration parameters of the target terminal acquired by the parameter acquiring module, and if the target terminal cannot be determined to be the genuine mobile intelligent terminal or the fake mobile intelligent terminal according to the configuration parameters of the target terminal acquired by the parameter acquiring module, the first judging module is triggered.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, where the computer program includes program instructions, and the program instructions, when executed by a processor, cause the processor to execute the method for authenticating a terminal according to the first aspect.
In the embodiment of the invention, the configuration parameters of the target terminal are acquired: at least one of a graphics processor GPU vendor parameter, a CPU architecture parameter, a brand parameter, a model parameter, and a GPU renderer parameter; judging whether the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition; and if the configuration parameters of the target terminal meet any judgment condition, determining that the type of the target terminal is a non-mobile intelligent terminal. According to the invention, the machine-checking parameters of the target terminal are obtained, and whether the terminal is a non-mobile intelligent terminal or not is determined according to the configuration parameters of the terminal, so that the identification rate of terminal detection is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, 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 some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for authenticating a terminal according to a first embodiment of the present invention;
FIG. 2 is a diagram illustrating a display effect of a verification result according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a method for authenticating a terminal according to a second embodiment of the present invention;
fig. 4 is a flowchart illustrating a method for authenticating a terminal according to a third embodiment of the present invention;
fig. 5 is a schematic flowchart of a fourth embodiment of a method for authenticating a terminal according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a terminal authentication apparatus according to a first embodiment of the present invention;
fig. 7 is a schematic structural diagram of a terminal authentication apparatus according to a second embodiment of the present invention;
fig. 8 is a schematic structural diagram of another terminal according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. 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 invention.
Fig. 1 is a flowchart illustrating a method for authenticating a terminal according to a first embodiment of the present invention. In this embodiment, the mobile intelligent terminal refers to a smart phone or a tablet computer. The method for verifying the terminal comprises the following steps:
s101, obtaining configuration parameters of the target terminal.
In some possible embodiments, the configuration parameters of the target terminal include at least one of a graphics processor GPU vendor parameter, a CPU architecture parameter, a brand parameter, a model parameter, and a GPU renderer parameter.
And S102, judging whether the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition.
In some feasible embodiments, the first determination condition is that the GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, the second determination condition is that the GPU manufacturer parameter and the CPU architecture parameter of the target terminal are a preset manufacturer parameter and a preset architecture parameter, respectively, the third determination condition is that the brand parameter of the target terminal is a brand parameter in a preset brand list, the fourth determination condition is that a corresponding target GPU renderer parameter is found from the first parameter library according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the found target GPU renderer parameter.
S103, if the configuration parameters of the target terminal meet any judgment condition, determining that the type of the target terminal is a non-mobile intelligent terminal.
In some possible embodiments, after the type of the target terminal is determined through verification, the verification result may be output. Specifically, the verification result of the target terminal may be displayed in a user interface. For example, please refer to fig. 2, and fig. 2 is a diagram illustrating a display effect of a verification result according to an embodiment of the present invention. When the terminal device determines that the configuration parameter of the target terminal meets any one of the first judgment condition, the second judgment condition, the third judgment condition and the fourth judgment condition, the type of the target terminal is determined to be the non-mobile intelligent terminal, the terminal can be prompted to belong to other intelligent devices (namely, the non-mobile intelligent terminal) on a user interface, and the type of the intelligent device (namely, the non-mobile intelligent terminal) can be described in detail. At the same time, the terminal device may provide some options in its user interface, such as a re-check or feedback, for the user to select.
In the embodiment of the invention, the configuration parameters of the target terminal are obtained, wherein the configuration parameters of the target terminal comprise at least one of graphic processor GPU manufacturer parameters, CPU architecture parameters, brand parameters, model parameters and GPU renderer parameters; judging whether the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition; the first judgment condition is that a GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, the second judgment condition is that a GPU manufacturer parameter and a CPU architecture parameter of the target terminal are respectively a preset manufacturer parameter and a preset architecture parameter, the third judgment condition is that a brand parameter of the target terminal is a brand parameter in the preset brand list, the fourth judgment condition is that a corresponding target GPU renderer parameter is searched from a first parameter library according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the searched target GPU renderer parameter; and if the configuration parameters of the target terminal meet any judgment condition, determining that the type of the target terminal is a non-mobile intelligent terminal. According to the invention, the machine-checking parameters of the target terminal are obtained, and whether the terminal is a non-mobile intelligent terminal or not is determined according to the configuration parameters of the terminal, so that the identification rate of terminal detection is improved.
Fig. 3 is a flowchart illustrating a method for authenticating a terminal according to a second embodiment of the present invention. In this embodiment, if it is determined in S102 that the configuration parameter of the target terminal does not satisfy the first determination condition, the second determination condition, the third determination condition, and the fourth determination condition, the method further includes:
and S104, judging whether the target terminal is a genuine mobile intelligent terminal according to the configuration parameters of the target terminal.
In the embodiment of the invention, the configuration parameters of the target terminal are firstly obtained, whether the type of the target terminal is a non-mobile intelligent terminal is determined, and whether the target terminal is a genuine mobile intelligent terminal is judged after the target terminal is determined not to be the non-mobile intelligent terminal, namely, the machine checking step is carried out, so that the recognition rate of terminal detection can be improved, the non-mobile intelligent terminal can be prevented from executing the machine checking process of the mobile intelligent terminal, and the machine checking efficiency is improved.
Referring to fig. 4, fig. 4 is a flowchart illustrating a terminal verification method according to a third embodiment of the present invention. The method for verifying the terminal comprises the following steps:
s200, obtaining the configuration parameters of the target terminal.
S201, judging whether the target terminal can be determined to be a genuine mobile intelligent terminal or a fake mobile intelligent terminal according to the configuration parameters of the target terminal, and if the target terminal cannot be determined to be the genuine mobile intelligent terminal or the fake mobile intelligent terminal according to the configuration parameters of the target terminal, executing the step S202.
In some possible embodiments, whether the target terminal is a fake mobile intelligent terminal may be determined according to the brand blacklist, for example, if the brand parameter of the target terminal belongs to a brand in the brand blacklist, the target terminal is determined to be a fake machine; in addition, whether the target terminal is a genuine mobile intelligent terminal can be determined according to the model white list, for example, a corresponding detailed parameter list can be searched in a preset model white list through the brand parameter, the model parameter, the device number parameter and the mobile phone capacity parameter of the target terminal, and if the CPU hardware parameter, the platform parameter, the motherboard parameter, the core number parameter, the CPU architecture parameter, the GPU manufacturer parameter, the GPU renderer parameter, the screen resolution parameter, the CPUID parameter and the screen density parameter of the target terminal are matched with the searched detailed parameter list, the target terminal is determined to be genuine. If the target terminal cannot be determined to be a counterfeit mobile intelligent terminal through the brand blacklist or a genuine mobile intelligent terminal through the model whitelist, if the target terminal is not identified, it may be determined whether the type of the target terminal is a non-mobile intelligent terminal by executing step S202.
S202, determining whether the configuration parameter of the target terminal satisfies any one of a first determination condition, a second determination condition, a third determination condition, and a fourth determination condition.
In some possible embodiments, the first determination condition is that the GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, for example, the manufacturer parameter in the preset manufacturer list includes Google, Tencent, NetEase, x.org, blue stacks, noveau, VMware, Imagination, leapdoid, Yiwan, and yiwanGames; the second judgment condition is that the GPU manufacturer parameter and the CPU architecture parameter of the target terminal are a preset manufacturer parameter and a preset architecture parameter, respectively, for example, the preset manufacturer parameter is Qualcomm, and the preset architecture parameter is x 86; the third judgment condition is that the brand parameter of the target terminal is a brand parameter in a preset brand list, for example, the brand parameter in the preset brand list comprises an Ampogic graph, a redfinger graph and a CT/Tez graph; the fourth judgment condition is that the corresponding target GPU renderer parameter is searched from the first parameter base according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the searched target GPU renderer parameter, for example, the brand parameter in the first parameter base is rockchip, the model parameter is H96Max, and the GPU renderer parameter is Mail-450 MP.
In some possible embodiments, whether the configuration parameter of the target terminal satisfies any one of the first determination condition, the second determination condition, the third determination condition and the fourth determination condition may be determined by:
S202A: selecting a judgment condition as a current judgment condition;
S202B: judging whether the configuration parameter of the target terminal meets the current judgment condition, if so, determining that the configuration parameter of the target terminal meets any one of the first judgment condition, the second judgment condition, the third judgment condition and the fourth judgment condition, and if not, executing the step S202C;
S202C: and judging whether an undetermined judgment condition exists, if so, selecting an undetermined judgment condition as a current judgment condition, returning to the step S202B, and if not, determining that the configuration parameters of the target terminal do not meet the first judgment condition, the second judgment condition, the third judgment condition and the fourth judgment condition.
In some possible embodiments, the types of non-mobile smart terminals include: the system comprises a first-class operating system simulator, a second-class operating system simulator, non-mobile intelligent terminal brand terminal equipment and a preset brand non-mobile intelligent terminal; if the configuration parameters of the target terminal meet the first judgment condition, determining that the target terminal is a first-class operating system simulator, for example, the first-class operating system simulator is an android simulator provided by a manufacturer in a preset manufacturer list; if the configuration parameters of the target terminal meet the second judgment condition, determining that the target terminal is a second-class operating system simulator, for example, the second-class operating system simulator is an android simulator of a preset architecture provided by a preset manufacturer; if the configuration parameters of the target terminal meet the third judgment condition, determining that the target terminal is terminal equipment of a non-mobile intelligent terminal brand, namely the brand product is not a mobile intelligent terminal (intelligent mobile phone or tablet computer), such as an Ampogic television box, a redfinger cloud mobile phone application and a CT/Zygraph medical device; if the configuration parameters of the target terminal meet the fourth judgment condition, the target terminal is determined to be a non-mobile intelligent terminal of a preset brand, namely, the brand product has both a mobile intelligent terminal (a smart phone and a tablet personal computer) and a non-mobile intelligent terminal, and further determination needs to be performed through model parameters and GPU renderer parameters.
In the embodiment of the invention, the configuration parameter judgment condition is set through the characteristics of the type of the non-mobile intelligent terminal, so that the non-mobile intelligent terminal can be identified more accurately, and the identification rate of terminal detection is improved.
In some possible embodiments, the number and the occupation ratio of various types of non-mobile intelligent terminals may be counted, and the determination order of each determination condition may be determined according to the occupation ratio of various types of non-mobile intelligent terminals, for example, the number of the first type of operating system simulator is the highest in the non-mobile intelligent terminals, the number of the second type of operating system simulator is the second in the non-mobile intelligent terminals, the number of the terminal devices of the brand of the non-mobile intelligent terminals is the third in the non-mobile intelligent terminals, and the number of the non-mobile intelligent terminals of the preset brand is the lowest in the non-mobile intelligent terminals, and then the determination order of each determination condition may be determined from first to last as the first determination condition, the second determination condition, the third determination condition, and the fourth determination condition; if the number of the terminal devices of the brand of the non-mobile intelligent terminal accounts for the highest percentage in the non-mobile intelligent terminal, the judging sequence of each judging condition can be determined as the third judging condition, the first judging condition, the second judging condition and the fourth judging condition from first to last.
In the embodiment of the invention, the judging sequence of each judging condition is determined according to the number and the occupation ratio of various types of non-mobile intelligent terminals in statistical data, more judging logics (namely judging conditions corresponding to non-mobile intelligent terminal types with higher occupation ratios) are put in front, and less judging logics (namely judging conditions corresponding to non-mobile intelligent terminal types with lower occupation ratios) are put in back, so that the efficiency of terminal detection is improved.
S203, if the configuration parameters of the target terminal meet any judgment condition, determining that the type of the target terminal is a non-mobile intelligent terminal.
In some feasible embodiments, when the type of the target terminal is determined to be the non-mobile intelligent terminal through the present embodiment, the type of the non-mobile intelligent terminal to which the target terminal belongs can be determined according to the determination condition met by the target terminal, and the number and the proportion of the non-mobile intelligent terminals of the type are updated, so that the determination sequence of each determination condition is adjusted in time, and the efficiency of terminal detection is improved.
In some possible embodiments, the method may be executed at a server, where the obtaining of the configuration parameter of the target terminal specifically includes: receiving configuration parameters of a target terminal uploaded by a client, wherein the number and the proportion of a preset manufacturer list, preset manufacturer parameters, preset architecture parameters, a preset brand list, a first parameter library and various types of non-mobile intelligent terminals can be set in a server and updated, and after the type of the target terminal is determined to be the non-mobile intelligent terminal, returning a verification result to the client; in addition, the method can be executed at the client, wherein the obtaining of the configuration parameters of the target terminal specifically comprises: configuration parameters of the target terminal are obtained by calling a system function, and a preset manufacturer list, preset manufacturer parameters, preset architecture parameters, a preset brand list, a first parameter library and the number and the proportion of various types of non-mobile intelligent terminals can be downloaded to the local client side in advance and updated.
Referring to fig. 5, fig. 5 is a flowchart illustrating a terminal verification method according to a fourth embodiment of the present invention. In this embodiment, the first determination condition, the second determination condition, the third determination condition and the fourth determination condition are determined according to the occupation ratio of various types of non-mobile intelligent terminals, and the determination order of each determination condition is from first to last, and the method for authenticating the terminal as shown in the figure includes the steps of:
s301, obtaining configuration parameters of the target terminal.
S302, determining whether the GPU manufacturer parameter of the target terminal is a manufacturer parameter in the preset manufacturer list, if so, executing step S306, otherwise, executing step S303.
And S303, judging whether the GPU manufacturer parameter and the CPU architecture parameter of the target terminal are respectively a preset manufacturer parameter and a preset architecture parameter, if so, executing the step S306, otherwise, executing the step S304.
S304, judging whether the brand parameter of the target terminal is the brand parameter in the preset brand list, if so, executing a step S306, otherwise, executing a step S305.
S305, judging whether the corresponding target GPU renderer parameters can be found from the first parameter library according to the brand parameters and the model parameters of the target terminal, matching the GPU renderer parameters of the target terminal with the found target GPU renderer parameters, if yes, executing the step S306, and if not, executing the step S307.
S306, determining that the type of the target terminal is the non-mobile intelligent terminal, and displaying that the target terminal is the non-mobile intelligent terminal.
S307, verifying whether the target terminal is a genuine mobile intelligent terminal or not according to the configuration parameters of the target terminal, and displaying the verification result of the target terminal.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a terminal authentication device according to a first embodiment of the present invention. The terminal verification apparatus includes: a parameter obtaining module 401 and a first judging module 402.
A parameter obtaining module 401, configured to obtain configuration parameters of a target terminal, where the configuration parameters of the target terminal include at least one of a GPU manufacturer parameter of a graphics processor, a CPU architecture parameter, a brand parameter, a model parameter, and a GPU renderer parameter;
a first judging module 402, configured to judge whether the configuration parameter of the target terminal acquired by the parameter acquiring module 401 meets any one of a first judging condition, a second judging condition, a third judging condition, and a fourth judging condition; the first judgment condition is that a GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, the second judgment condition is that a GPU manufacturer parameter and a CPU architecture parameter of the target terminal are respectively a preset manufacturer parameter and a preset architecture parameter, the third judgment condition is that a brand parameter of the target terminal is a brand parameter in the preset brand list, the fourth judgment condition is that a corresponding target GPU renderer parameter is searched from a first parameter library according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the searched target GPU renderer parameter;
if the first determining module 402 determines that the configuration parameter of the target terminal satisfies any one of the determining conditions, it is determined that the type of the target terminal is a non-mobile intelligent terminal.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a terminal authentication device according to a second embodiment of the present invention.
In some possible embodiments, the first determining module 402 includes:
a first selecting unit 4021, configured to select a judgment condition as a current judgment condition;
a first judging unit 4022, configured to judge whether the configuration parameter of the target terminal acquired by the parameter acquiring module 401 meets the current judging condition selected by the first selecting unit 4021, and if so, determine that the configuration parameter of the target terminal meets any one of the first judging condition, the second judging condition, the third judging condition, and the fourth judging condition;
a second judging unit 4023, configured to judge whether there is an undetermined judging condition when the first judging unit 4022 judges that the configuration parameter of the target terminal acquired by the parameter acquiring module 401 does not satisfy the current judging condition selected by the first selecting unit 4021, and if not, determine that the configuration parameter of the target terminal does not satisfy the first judging condition, the second judging condition, the third judging condition, and the fourth judging condition;
the second selecting unit 4024 is configured to select an undetermined determination condition as a current determination condition and trigger the first determining unit 4022 when the second determining unit 4023 determines that the undetermined determination condition exists.
In some possible embodiments, the types of non-mobile smart terminals include: the system comprises a first-class operating system simulator, a second-class operating system simulator, non-mobile intelligent terminal brand terminal equipment and a preset brand non-mobile intelligent terminal;
if the first judging module 402 judges that the configuration parameters of the target terminal meet the first judging condition, determining that the target terminal is a first-class operating system simulator;
if the first judging module 402 judges that the configuration parameters of the target terminal meet the second judging condition, determining that the target terminal is a second-class operating system simulator;
if the first judging module 402 judges that the configuration parameters of the target terminal meet the third judging condition, determining that the target terminal is a terminal device of a non-mobile intelligent terminal brand;
if the first determining module 402 determines that the configuration parameter of the target terminal meets the fourth determining condition, it is determined that the target terminal is a non-mobile intelligent terminal of a preset brand.
In some possible embodiments, the apparatus further comprises:
a counting module 403, configured to count the number and the percentage of various types of non-mobile intelligent terminals;
the first judging module 402 determines the judging order of each judging condition according to the occupation ratio of various types of non-mobile intelligent terminals counted by the counting module 403.
In some possible embodiments, the apparatus further comprises:
and a second judging module 404, configured to, when the first judging module 402 judges that the configuration parameter of the target terminal does not satisfy the first judging condition, the second judging condition, the third judging condition, and the fourth judging condition, judge whether the target terminal is a genuine mobile intelligent terminal according to the configuration parameter of the target terminal.
In some possible embodiments, the apparatus further comprises:
the third determining module 405 is configured to determine whether the target terminal can be determined to be a genuine mobile intelligent terminal or a fake mobile intelligent terminal according to the configuration parameter of the target terminal acquired by the parameter acquiring module 401, and trigger the first determining module 402 if the target terminal cannot be determined to be the genuine mobile intelligent terminal or the fake mobile intelligent terminal according to the configuration parameter of the target terminal acquired by the parameter acquiring module 401.
In the embodiment of the present invention, the terminal verification apparatus obtains configuration parameters of the target terminal through the parameter obtaining module 401, where the configuration parameters of the target terminal include at least one of a GPU manufacturer parameter, a CPU architecture parameter, a brand parameter, a model parameter, and a GPU renderer parameter of the graphics processor; the first judging module 402 judges whether the configuration parameter of the target terminal acquired by the parameter acquiring module 401 satisfies any one of a first judging condition, a second judging condition, a third judging condition and a fourth judging condition; the first judgment condition is that a GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, the second judgment condition is that a GPU manufacturer parameter and a CPU architecture parameter of the target terminal are respectively a preset manufacturer parameter and a preset architecture parameter, the third judgment condition is that a brand parameter of the target terminal is a brand parameter in the preset brand list, the fourth judgment condition is that a corresponding target GPU renderer parameter is searched from a first parameter library according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the searched target GPU renderer parameter; if the first determining module 402 determines that the configuration parameter of the target terminal satisfies any one of the determining conditions, it is determined that the type of the target terminal is a non-mobile intelligent terminal. According to the invention, the machine-checking parameters of the target terminal are obtained, and whether the terminal is a non-mobile intelligent terminal or not is determined according to the configuration parameters of the terminal, so that the identification rate of terminal detection is improved.
Fig. 8 is a schematic block diagram of another terminal according to an embodiment of the present invention. As shown in fig. 8, the terminal device in this embodiment may include: one or more input devices 100; memory 200, one or more processors 300, and one or more output devices 400. The processor 300, the input device 100, the output device 400, and the memory 200 are connected by a bus 500. The memory 200 is used to store a computer program comprising program instructions and the processor 300 is used to execute the program instructions stored by the memory 200. Wherein, the processor 300 is configured to call the above program instructions to execute:
acquiring configuration parameters of a target terminal, wherein the configuration parameters of the target terminal comprise at least one of graphic processor GPU manufacturer parameters, CPU architecture parameters, brand parameters, model parameters and GPU renderer parameters;
judging whether the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition; the first judgment condition is that a GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, the second judgment condition is that a GPU manufacturer parameter and a CPU architecture parameter of the target terminal are respectively a preset manufacturer parameter and a preset architecture parameter, the third judgment condition is that a brand parameter of the target terminal is a brand parameter in the preset brand list, the fourth judgment condition is that a corresponding target GPU renderer parameter is searched from a first parameter library according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the searched target GPU renderer parameter;
and if the configuration parameters of the target terminal meet any judgment condition, determining that the type of the target terminal is a non-mobile intelligent terminal.
It should be understood that, in the embodiment of the present invention, the Processor 300 may be a Central Processing Unit (CPU), and the Processor may also be other general processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 100 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of the fingerprint), a microphone, etc., and the output device 400 may include a display (LCD, etc.), a speaker, etc.
The memory 200 may include both read-only memory and random access memory and provides instructions and data to the processor 300. A portion of memory 200 may also include non-volatile random access memory. For example, the memory 200 may also store device type information.
In a specific implementation, the processor 300, the input device 100, and the output device 200 described in this embodiment of the present invention may execute the implementation manners described in the first to fourth embodiments of the terminal verification method provided in this embodiment of the present invention, and may also execute the implementation manners of the terminal device described in this embodiment of the present invention, which is not described herein again.
In another embodiment of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, the computer program comprising program instructions that when executed by a processor implement:
acquiring configuration parameters of a target terminal, wherein the configuration parameters of the target terminal comprise at least one of graphic processor GPU manufacturer parameters, CPU architecture parameters, brand parameters, model parameters and GPU renderer parameters;
judging whether the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition; the first judgment condition is that a GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, the second judgment condition is that a GPU manufacturer parameter and a CPU architecture parameter of the target terminal are respectively a preset manufacturer parameter and a preset architecture parameter, the third judgment condition is that a brand parameter of the target terminal is a brand parameter in the preset brand list, the fourth judgment condition is that a corresponding target GPU renderer parameter is searched from a first parameter library according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the searched target GPU renderer parameter;
and if the configuration parameters of the target terminal meet any judgment condition, determining that the type of the target terminal is a non-mobile intelligent terminal.
The computer-readable storage medium may be an internal storage unit of the terminal device according to any of the foregoing embodiments, for example, a hard disk or a memory of the terminal device. The computer-readable storage medium may also be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device. Further, the computer-readable storage medium may include both an internal storage unit and an external storage device of the terminal device. The computer-readable storage medium stores the computer program and other programs and data required by the terminal device. The above-described computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the terminal device and the unit described above may refer to 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 terminal device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, 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 through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
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 of the present invention.
In addition, functional units in the embodiments of the present invention 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 integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can 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 invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (13)
1. A method of terminal authentication, the method comprising:
acquiring configuration parameters of a target terminal, wherein the configuration parameters of the target terminal comprise at least one of GPU manufacturer parameters, CPU architecture parameters, brand parameters, model parameters and GPU renderer parameters;
judging whether the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition; the first judgment condition is that the GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, the second judgment condition is that the GPU manufacturer parameter and the CPU architecture parameter of the target terminal are respectively a preset manufacturer parameter and a preset architecture parameter, the third judgment condition is that the brand parameter of the target terminal is a brand parameter in the preset brand list, the fourth judgment condition is that a corresponding target GPU renderer parameter is searched from a first parameter library according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the searched target GPU renderer parameter;
and if the configuration parameters of the target terminal meet any judgment condition, determining that the type of the target terminal is a non-mobile intelligent terminal.
2. The method according to claim 1, wherein the determining whether the configuration parameter of the target terminal satisfies any one of a first determination condition, a second determination condition, a third determination condition and a fourth determination condition comprises:
step A: selecting a judgment condition as a current judgment condition;
and B: judging whether the configuration parameters of the target terminal meet the current judgment condition, if so, determining that the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition, and if not, executing the step C;
and C: and B, judging whether an undetermined judgment condition exists or not, if so, selecting an undetermined judgment condition as a current judgment condition, returning to the step B, and if not, determining that the configuration parameters of the target terminal do not meet the first judgment condition, the second judgment condition, the third judgment condition and the fourth judgment condition.
3. The method according to claim 1 or 2, wherein the type of the non-mobile intelligent terminal comprises: the system comprises a first-class operating system simulator, a second-class operating system simulator, non-mobile intelligent terminal brand terminal equipment and a preset brand non-mobile intelligent terminal;
if the configuration parameters of the target terminal meet first judgment conditions, determining that the target terminal is a first-class operating system simulator;
if the configuration parameters of the target terminal meet a second judgment condition, determining that the target terminal is a second-class operating system simulator;
if the configuration parameters of the target terminal meet a third judgment condition, determining that the target terminal is terminal equipment of a non-mobile intelligent terminal brand;
and if the configuration parameters of the target terminal meet a fourth judgment condition, determining that the target terminal is a non-mobile intelligent terminal of a preset brand.
4. The method of claim 3, further comprising:
counting the number and the proportion of various types of non-mobile intelligent terminals, and determining the judgment sequence of each judgment condition according to the proportion of various types of non-mobile intelligent terminals.
5. The method according to claim 1, wherein if the configuration parameter of the target terminal does not satisfy the first determination condition, the second determination condition, the third determination condition, and the fourth determination condition, the method further comprises:
and judging whether the target terminal is a genuine mobile intelligent terminal or not according to the configuration parameters of the target terminal.
6. The method according to claim 1, wherein after the obtaining of the configuration parameter of the target terminal, before the determining whether the configuration parameter of the target terminal satisfies any one of a first determination condition, a second determination condition, a third determination condition, and a fourth determination condition, the method further comprises:
and judging whether the target terminal can be determined to be a genuine mobile intelligent terminal or a fake mobile intelligent terminal according to the configuration parameters of the target terminal, and if the target terminal cannot be determined to be the genuine mobile intelligent terminal or the fake mobile intelligent terminal according to the configuration parameters of the target terminal, executing the step of judging whether the configuration parameters of the target terminal meet any one of a first judgment condition, a second judgment condition, a third judgment condition and a fourth judgment condition.
7. An apparatus for terminal authentication, the apparatus comprising:
the system comprises a parameter acquisition module, a parameter selection module and a parameter selection module, wherein the parameter acquisition module is used for acquiring configuration parameters of a target terminal, and the configuration parameters of the target terminal comprise at least one of GPU manufacturer parameters, CPU architecture parameters, brand parameters, model parameters and GPU renderer parameters;
the first judging module is used for judging whether the configuration parameters of the target terminal acquired by the parameter acquiring module meet any one of a first judging condition, a second judging condition, a third judging condition and a fourth judging condition; the first judgment condition is that the GPU manufacturer parameter of the target terminal is a manufacturer parameter in a preset manufacturer list, the second judgment condition is that the GPU manufacturer parameter and the CPU architecture parameter of the target terminal are respectively a preset manufacturer parameter and a preset architecture parameter, the third judgment condition is that the brand parameter of the target terminal is a brand parameter in the preset brand list, the fourth judgment condition is that a corresponding target GPU renderer parameter is searched from a first parameter library according to the brand parameter and the model parameter of the target terminal, and the GPU renderer parameter of the target terminal is matched with the searched target GPU renderer parameter;
and if the first judging module judges that the configuration parameters of the target terminal meet any one judging condition, determining that the type of the target terminal is a non-mobile intelligent terminal.
8. The apparatus of claim 7, wherein the first determining module comprises:
the first selection unit is used for selecting a judgment condition as a current judgment condition;
the first judging unit is used for judging whether the configuration parameter of the target terminal acquired by the parameter acquiring module meets the current judging condition selected by the first selecting unit, and if so, determining that the configuration parameter of the target terminal meets any one of a first judging condition, a second judging condition, a third judging condition and a fourth judging condition;
the second judging unit is used for judging whether an undetermined judging condition exists or not when the first judging unit judges that the configuration parameter of the target terminal acquired by the parameter acquiring module does not meet the current judging condition selected by the first selecting unit, and if not, determining that the configuration parameter of the target terminal does not meet the first judging condition, the second judging condition, the third judging condition and the fourth judging condition;
and the second selecting unit is used for selecting an undetermined judging condition as a current judging condition and triggering the first judging unit when the second judging unit judges that the undetermined judging condition exists.
9. The apparatus according to claim 7 or 8, wherein the type of the non-mobile smart terminal comprises: the system comprises a first-class operating system simulator, a second-class operating system simulator, non-mobile intelligent terminal brand terminal equipment and a preset brand non-mobile intelligent terminal;
if the first judging module judges that the configuration parameters of the target terminal meet first judging conditions, determining that the target terminal is a first-class operating system simulator;
if the first judging module judges that the configuration parameters of the target terminal meet a second judging condition, determining that the target terminal is a second-class operating system simulator;
if the first judging module judges that the configuration parameters of the target terminal meet a third judging condition, determining that the target terminal is terminal equipment of a non-mobile intelligent terminal brand;
and if the first judging module judges that the configuration parameters of the target terminal meet a fourth judging condition, determining that the target terminal is a non-mobile intelligent terminal of a preset brand.
10. The apparatus of claim 9, further comprising:
the statistical module is used for counting the number and the proportion of various types of non-mobile intelligent terminals;
and the first judging module determines the judging sequence of each judging condition according to the ratio of the various types of non-mobile intelligent terminals counted by the counting module.
11. The apparatus of claim 7, further comprising:
and the second judging module is used for judging whether the target terminal is a genuine mobile intelligent terminal according to the configuration parameters of the target terminal when the first judging module judges that the configuration parameters of the target terminal do not meet the first judging condition, the second judging condition, the third judging condition and the fourth judging condition.
12. The apparatus of claim 7, further comprising:
the third judging module is used for judging whether the target terminal can be determined to be a genuine mobile intelligent terminal or a fake mobile intelligent terminal according to the configuration parameters of the target terminal acquired by the parameter acquiring module, and if the target terminal cannot be determined to be the genuine mobile intelligent terminal or the fake mobile intelligent terminal according to the configuration parameters of the target terminal acquired by the parameter acquiring module, the first judging module is triggered.
13. A computer-readable storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method according to any of claims 1-6.
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