CN114239695A - Security tool identification method and device, computer equipment and storage medium - Google Patents

Security tool identification method and device, computer equipment and storage medium Download PDF

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Publication number
CN114239695A
CN114239695A CN202111414712.4A CN202111414712A CN114239695A CN 114239695 A CN114239695 A CN 114239695A CN 202111414712 A CN202111414712 A CN 202111414712A CN 114239695 A CN114239695 A CN 114239695A
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China
Prior art keywords
bank
tool
category information
safety
security tool
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CN202111414712.4A
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Chinese (zh)
Inventor
杨卓源
程浩
杨达
刘秀芹
李文轩
胡向军
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China Construction Bank Corp
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China Construction Bank Corp
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Priority to CN202111414712.4A priority Critical patent/CN114239695A/en
Publication of CN114239695A publication Critical patent/CN114239695A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02—Banking, e.g. interest calculation or account maintenance

Abstract

The application relates to a security tool identification method, a security tool identification apparatus, a computer device, a storage medium and a computer program product. The method comprises the following steps: inputting the image of the bank safety tool into a preset identification model to obtain the category information of the bank safety tool; the identification model is obtained by training a sample set of bank safety tools; the sample set comprises sample images of a plurality of bank safety tools and category labels of the bank safety tools in the sample images; and sending the category information of the bank security tool to the user. By adopting the method, the identification accuracy of the bank safety tool can be improved.

Description

Security tool identification method and device, computer equipment and storage medium
Technical Field
The present application relates to the field of artificial intelligence recognition and classification technologies, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for recognizing a security tool.
Background
With the wide application of the internet banking, a user can operate the internet banking through safety tools such as an internet banking shield. The internet bank shield is a security tool frequently used by bank customers, and the internet bank shields of different banks are different, even the internet bank shields of different generations of the same bank are different. When one user has a plurality of internet banking shields, different internet banking shields need to be distinguished during use.
At present, when different internet banking shields are classified and identified, a user can identify the internet banking shields according to information labels attached to the internet banking shields. However, for the internet banking shield with a defective information label or no label information attached, the user cannot distinguish the information label.
Disclosure of Invention
In view of the above, it is necessary to provide a security tool identification method, apparatus, computer device, computer readable storage medium and computer program product capable of improving identification accuracy of a bank security tool in view of the above technical problems.
In a first aspect, the present application provides a method for identifying a security tool. The method comprises the following steps:
inputting the image of the bank safety tool into a preset identification model to obtain the category information of the bank safety tool; the identification model is obtained by training a sample set of bank safety tools; the sample set comprises sample images of a plurality of bank safety tools and category labels of the bank safety tools in the sample images; the category information of the bank safety tool comprises a bank identifier of a bank to which the bank safety tool belongs; and sending the category information of the bank security tool to the user.
In one embodiment, the category information of the bank security tool further includes a product version corresponding to the bank security tool.
In one embodiment, the method further includes:
acquiring a login state of a bank security tool output by a preset test system; the login state is used for representing whether the bank security tool can normally log in the bank system; and matching the category information of the bank safety tool with the login state, and upgrading the system according to the matching result.
In one embodiment, matching the category information of the bank security tool with the login state, and performing system upgrade according to the matching result includes:
if the login state represents that the bank security tool normally logs in the bank system of the first bank, and the category information represents that the bank security tool belongs to the second bank, outputting a first upgrading instruction of the bank system of the first bank; and if the login state represents that the bank security tool is abnormal when logging in the bank system of the first bank, and the category information represents that the bank security tool belongs to the first bank, outputting a second upgrading instruction of the bank security tool.
In one embodiment, the method further includes:
acquiring a test instruction triggered by a user on a test system; and responding to the test instruction, and calling a camera connected with the test system to acquire the image of the bank safety tool.
In one embodiment, the method further includes:
acquiring a sample set of bank security tools; and taking the sample image in the sample set as the reference input of the initial identification model, taking the class label of the bank safety tool corresponding to the sample image as the reference output of the initial identification model, and training the initial identification model according to a preset loss function to obtain the preset identification model.
In a second aspect, the present application further provides a safety tool identification device. The device comprises:
the input module is used for inputting the image of the bank safety tool into a preset identification model to obtain the category information of the bank safety tool; the identification model is obtained by training a sample set of bank safety tools; the sample set comprises sample images of a plurality of bank safety tools and category labels of the bank safety tools in the sample images; the category information of the bank safety tool comprises a bank identifier of a bank to which the bank safety tool belongs;
and the sending module is used for sending the category information of the bank security tool to the user.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the method steps in any of the embodiments of the first aspect described above when executing the computer program.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the method steps of any of the embodiments of the first aspect described above.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program that when executed by a processor performs the method steps of any of the embodiments of the first aspect described above.
According to the method, the device, the computer equipment, the storage medium and the computer program product for identifying the safety tool, the image of the bank safety tool is input into the preset identification model, so that the category information of the bank safety tool is obtained; and sending the category information of the bank security tool to the user. In the technical scheme provided by the embodiment of the application, for the safety tools with the information labels being defective or the label information not attached, the category information of the safety tools can be obtained by acquiring the images of the safety tools and inputting the images into the identification model for calculation, so that a user can accurately distinguish the safety tools of different banks according to the category information calculated by the identification model, and when the user has a large number of safety tools of different types, the category information of the safety tools can be quickly obtained; furthermore, the identification model is obtained by adopting the sample images of the plurality of bank safety tools and the class labels of the bank safety tools in the sample images through pre-training, and the images of the safety tools are identified through the trained identification model, so that the identification accuracy of the bank safety tools is improved.
Drawings
FIG. 1 is a diagram illustrating an internal structure of a computer device according to an embodiment;
FIG. 2 is a schematic flow chart diagram illustrating a method for identifying a security tool in one embodiment;
FIG. 3 is a flow diagram that illustrates the processing of category information for a bank security tool in one embodiment;
FIG. 4 is a schematic flow chart illustrating the collection of images of a bank security tool in one embodiment;
FIG. 5 is a schematic diagram of a process for generating a predetermined recognition model in one embodiment;
FIG. 6 is an architecture diagram of reinforcement learning in one embodiment;
FIG. 7 is a flowchart illustrating the design of an AlexNet convolutional neural network classification model in one embodiment;
FIG. 8 is a network structure diagram of an AlexNet convolutional neural network classification model in one embodiment;
FIG. 9 is an overall architecture diagram of a security tool identification in one embodiment;
fig. 10 is a block diagram showing the structure of a safety tool recognition apparatus according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The safety tool identification method provided by the application can be applied to computer equipment, the computer equipment can be a server or a terminal, the server can be one server or a server cluster consisting of a plurality of servers, the embodiment of the application is not particularly limited to this, and the terminal can be but is not limited to various personal computers, notebook computers, smart phones, tablet computers and portable wearable equipment.
Taking the example of a computer device being a server, fig. 1 shows a block diagram of a server, which, as shown in fig. 1, comprises a processor, a memory and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store security tool identification data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a security tool identification method.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is a block diagram of only a portion of the architecture associated with the subject application, and does not constitute a limitation on the servers to which the subject application applies, and that servers may alternatively include more or fewer components than those shown, or combine certain components, or have a different arrangement of components.
The execution subject of the embodiments of the present application may be a computer device, or may be a security tool identification apparatus, and the following method embodiments will be described with reference to a computer device as an execution subject.
In one embodiment, as shown in fig. 2, a flow chart of a security tool identification method provided by an embodiment of the present application is shown, and the method may include the following steps:
step 220, inputting the image of the bank safety tool into a preset identification model to obtain the category information of the bank safety tool; the identification model is obtained by training a sample set of bank safety tools; the sample set comprises sample images of a plurality of bank safety tools and category labels of the bank safety tools in the sample images; the category information of the bank security tool comprises a bank identification of a bank to which the bank security tool belongs.
And step 240, sending the category information of the bank security tool to the user.
The bank security tool is a tool for supporting a user to operate the internet bank conveniently and safely, and may be an internet bank shield and its various generations of upgraded products, a usb flash disk mobile storage device, an external network card, a bluetooth receiver, or other types of bank security tools, which is not specifically limited in this embodiment. The image of the bank safety tool can be acquired in real time through the image acquisition equipment and then input into the preset identification model, or the image acquired by the image acquisition equipment can be stored in a local area or a database in advance, and then the image is input into the preset identification model after the image stored in advance is read.
The image of the bank safety tool can be directly input into the preset identification model, and the image of the bank safety tool can also be input into the preset identification model after being preprocessed. The preprocessing operation may include at least one of image size transformation, image normalization, and image enhancement, and may also include other processes for processing the image, and the type of the preprocessing operation is not particularly limited in this embodiment. Alternatively, the image size transformation may be achieved by bicubic interpolation, for example, the image size may be transformed by bicubic interpolation to a size of 227 × 227; image normalization can be realized by mapping data between [0,1] after linear transformation is carried out on image pixel values; the image enhancement can be realized by scaling the image to the same ratio of width and height so as to control the data scale; on this basis, a random cropping method may be used to randomly extract an 227 × 227 image block at five positions, i.e., four corners and the center, of the image of the bank security tool, and the specific implementation means of the preprocessing operation is not specifically limited in this embodiment.
The preset identification model is a model for identifying the category information of the bank safety tool, and the identification model may be a neural network model, and the type of the neural network model is not specifically limited in this embodiment, and may be, for example, an AlexNet convolutional neural network model. The identification model is obtained by training a sample set of the bank safety tools, the sample set can comprise sample images of a plurality of bank safety tools and class labels of the bank safety tools in the sample images, and the class labels of the bank safety tools in the sample images can be manually marked according to priori knowledge. The input image of the bank safety tool can be subjected to feature extraction through the recognition model, so that the shape feature, the size feature, the color feature, the function distribution feature and the like of the bank safety tool are obtained, the category information of the bank safety tool is output after calculation is carried out according to the extracted features, and the category information can be sent to a user. The category information of the bank safety tool can be used for distinguishing bank safety tools of different banks, so that the category information of the bank safety tool comprises bank identification of the bank to which the bank safety tool belongs, and the bank safety tools of different banks have certain differences in characteristics such as shape, size, color, function distribution and the like. The image of the bank safety tool is identified, so that the bank identification of the bank to which the bank safety tool belongs can be obtained.
In the embodiment, the image of the bank safety tool is input into a preset identification model to obtain the category information of the bank safety tool; and sending the category information of the bank security tool to the user. For the safety tools with the information labels being defective or the label information not attached, the class information of the safety tools can be obtained by acquiring the images of the safety tools and inputting the images into the identification model for calculation, so that the user can accurately distinguish the safety tools of different banks according to the class information calculated by the identification model, and the class information of the safety tools can be quickly obtained when the user has a large number of safety tools of different types; furthermore, the identification model is obtained by adopting the sample images of the plurality of bank safety tools and the class labels of the bank safety tools in the sample images through pre-training, and the images of the safety tools are identified through the trained identification model, so that the identification accuracy of the bank safety tools is improved.
In one embodiment, the category information of the bank security tool further includes a product version corresponding to the bank security tool. The category information of the bank security tools can be used for distinguishing bank security tools of different banks and can also be used for distinguishing bank security tools of different versions of the same bank. Therefore, the category information of the bank security tool includes a bank identifier of a bank to which the bank security tool belongs, and may also include a product version corresponding to the bank security tool. For the bank security tools of different banks, the characteristics of the shape, the size, the color, the function distribution and the like of the bank security tools can be different, and for the bank security tools of different versions of the same bank, the characteristics of the bank security tools can also be different. By the detailed classification of the category information, different types of bank safety tools can be distinguished more accurately.
In one embodiment, as shown in fig. 3, which illustrates a flowchart of a security tool identification method provided in an embodiment of the present application, specifically, a possible process for processing category information of a bank security tool, the method may include the following steps:
step 320, acquiring a login state of the bank security tool output by a preset test system; the login state is used for representing whether the bank security tool can normally log in the bank system.
And 340, matching the category information of the bank safety tool with the login state, and upgrading the system according to the matching result.
Before the bank safety tool is put into use, internal personnel of a bank can test the bank safety tool, for example, the login function of the bank safety tool to be tested on a bank system can be tested, the login state of the bank safety tool output by a preset test system can be specifically obtained, the category information of the bank safety tool is matched with the login state, and system upgrading is carried out according to the matching result.
Optionally, if the login state indicates that the bank security tool normally logs in the bank system of the first bank, and the category information indicates that the bank security tool belongs to the second bank, outputting a first upgrade instruction of the bank system of the first bank, where the first bank and the second bank have different bank identifiers, and when the bank security tool belonging to the second bank can normally log in the bank system of the first bank, outputting the first upgrade instruction, and upgrading the bank system of the first bank according to the first upgrade instruction; if the login state represents that the bank security tool is abnormal when logging in the bank system of the first bank, and the category information represents that the bank security tool belongs to the first bank, outputting a second upgrading instruction of the bank security tool, and if the bank security tool belonging to the first bank cannot normally log in the bank system of the first bank, outputting the second upgrading instruction and upgrading the bank security tool of the first bank according to the second upgrading instruction.
In this embodiment, the login state of the bank security tool output by the preset test system is acquired, the category information of the bank security tool is matched with the login state, and system upgrade is performed according to the matching result. The login function of the bank safety tool to be tested on the bank system is tested by matching the category information of the bank safety tool with the login state, and corresponding upgrading operation is carried out according to the test result, so that the safety of the bank safety tool during use is improved, and the safety of the bank system is also improved.
In one embodiment, as shown in fig. 4, which shows a flowchart of a security tool identification method provided in an embodiment of the present application, specifically, a possible process of acquiring an image of a security tool of a bank, the method may include the following steps:
step 420, acquiring a test instruction triggered by the user on the test system.
And step 440, responding to the test instruction, and calling a camera connected with the test system to acquire an image of the bank security tool.
When testing the bank safety tool, a user needs to acquire the category information of the bank safety tool first, and then needs to acquire the image of the bank safety tool first, specifically, after acquiring a test instruction triggered by the user on a test system, responding to the test instruction, calling a camera connected with the test system to acquire the image of the bank safety tool, acquiring the image of the bank safety tool through automatically calling the camera, then performing the subsequent identification process, and displaying the identification result to the user.
In the embodiment, the test instruction triggered by the user on the test system is acquired, the camera connected with the test system is called to collect the image of the bank safety tool in response to the test instruction, and the mode that the camera is automatically called to collect the image in response to the test instruction is more convenient and faster, so that the efficiency of testing the bank safety tool by the user is also improved.
In one embodiment, as shown in fig. 5, which illustrates a flowchart of a method for identifying a security tool provided in an embodiment of the present application, specifically, related to a possible process of generating a preset identification model, the method may include the following steps:
step 520, a sample set of bank security tools is obtained.
And 540, taking the sample image in the sample set as reference input of the initial identification model, taking the class label of the bank safety tool corresponding to the sample image as reference output of the initial identification model, and training the initial identification model according to a preset loss function to obtain the preset identification model.
When the identification model is trained, a sample set of the bank safety tools needs to be obtained firstly, the sample set comprises sample images of the bank safety tools and class labels of the bank safety tools in the sample images, the sample set can be obtained from a bank safety tool image database which is constructed in advance, the sample images in the sample set are used as reference input of an initial identification model, the class labels of the bank safety tools corresponding to the sample images are used as reference output of the initial identification model, then model parameters of the initial identification model are adjusted according to the reference output, the class labels and a preset loss function, and accordingly a preset identification model is generated according to the adjusted model parameters.
In an actual use process, as shown in fig. 6, fig. 6 is an architecture diagram of reinforcement learning provided in the embodiment of the present application, and specifically, the image database of the bank security tool may be updated according to an output result of the recognition model and a feedback result of the user. For example, when the output result of the recognition model is inconsistent with the feedback result of the user, the feedback result includes the correct category information of the bank safety tool, the category label corresponding to the bank safety tool in the bank safety tool image database is updated according to the feedback result of the user, and the updated bank safety tool image database can also be used for training the recognition model again, so that the reinforcement learning process of the bank safety tool recognition system is realized, and the precision of the recognition model is further improved.
In an embodiment, the preset recognition model may select a TensorFlow deep learning open source framework as a framework of model design thereof, the recognition model may adopt an AlexNet convolutional neural network classification model, a design flow of the AlexNet convolutional neural network classification model is shown in fig. 7, and a network structure thereof is shown in fig. 8. For the AlexNet convolutional neural network classification model, an LRN local response normalization function after activation and pooling can be adopted as an activation function; the parameter setting can be adjusted and set from the aspects of batch processing quantity, initial learning rate and dropout random inactivation probability, and in addition, the network structure can be optimized by changing the number of convolution kernels in the network layer, the parameter number of the full connection layer and the truncated normal distribution standard deviation parameter value.
In a specific embodiment, as shown in fig. 9, fig. 9 is an overall architecture diagram of a security tool recognition provided in the embodiment of the present application, when a bank security tool is recognized, an image of the bank security tool to be distinguished by a user may be obtained through a terminal image input device, that is, a camera or a handheld mobile device with a video recording function, and the collected image is uploaded to a server, a preset recognition model of the server recognizes the input image, so as to obtain classification information of the bank security tool, and the classification information may be output on a display screen, and the user may distinguish a category of the bank security tool according to the classification information on the display screen.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides a safety tool identification device for implementing the above-mentioned safety tool identification method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method, so specific limitations in one or more embodiments of the safety tool identification device provided below can be referred to the limitations of the safety tool identification method in the foregoing, and details are not described herein again.
In one embodiment, as shown in fig. 10, there is provided a safety tool identification device 1000 comprising: an input module 1002 and a sending module 1004, wherein:
the input module 1002 is configured to input an image of a bank security tool into a preset identification model, and obtain category information of the bank security tool; the identification model is obtained by training a sample set of bank safety tools; the sample set comprises sample images of a plurality of bank safety tools and category labels of the bank safety tools in the sample images; the category information of the bank security tool comprises a bank identification of a bank to which the bank security tool belongs.
A sending module 1004, configured to send the category information of the bank security tool to the user.
In one embodiment, the category information of the bank security tool includes a bank identification of a bank to which the bank security tool belongs.
In one embodiment, the category information of the bank security tool further includes a product version corresponding to the bank security tool.
In one embodiment, the safety tool identification apparatus 1000 further comprises a first obtaining module and a matching module, wherein:
the first acquisition module is used for acquiring the login state of the bank safety tool output by the preset test system; the login state is used for representing whether the bank security tool can normally log in the bank system; the matching module is used for matching the category information of the bank safety tool with the login state and upgrading the system according to the matching result.
In one embodiment, the matching module is further configured to output a first upgrade indication of the banking system of the first bank if the login state indicates that the banking security tool normally logs in the banking system of the first bank and the category information indicates that the banking security tool belongs to the second bank; and if the login state represents that the bank security tool is abnormal when logging in the bank system of the first bank, and the category information represents that the bank security tool belongs to the first bank, outputting a second upgrading instruction of the bank security tool.
In one embodiment, the security tool recognition apparatus 1000 further includes a second obtaining module and a calling module, wherein:
the second acquisition module is used for acquiring a test instruction triggered by a user on the test system; the calling module is used for calling a camera connected with the testing system to acquire the image of the bank safety tool in response to the testing instruction.
In one embodiment, the safety tool recognition device 1000 further comprises a third obtaining module and a training module, wherein:
the third acquisition module is used for acquiring a sample set of the bank security tool; the training module is used for taking the sample images in the sample set as reference input of the initial recognition model, taking the class labels of the bank safety tools corresponding to the sample images as reference output of the initial recognition model, and training the initial recognition model according to a preset loss function to obtain the preset recognition model.
The modules in the safety tool identification device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
inputting the image of the bank safety tool into a preset identification model to obtain the category information of the bank safety tool; the identification model is obtained by training a sample set of bank safety tools; the sample set comprises sample images of a plurality of bank safety tools and category labels of the bank safety tools in the sample images; the category information of the bank safety tool comprises a bank identifier of a bank to which the bank safety tool belongs; and sending the category information of the bank security tool to the user.
In one embodiment, the category information of the bank security tool further includes a product version corresponding to the bank security tool.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring a login state of a bank security tool output by a preset test system; the login state is used for representing whether the bank security tool can normally log in the bank system; and matching the category information of the bank safety tool with the login state, and upgrading the system according to the matching result.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the login state represents that the bank security tool normally logs in the bank system of the first bank, and the category information represents that the bank security tool belongs to the second bank, outputting a first upgrading instruction of the bank system of the first bank; and if the login state represents that the bank security tool is abnormal when logging in the bank system of the first bank, and the category information represents that the bank security tool belongs to the first bank, outputting a second upgrading instruction of the bank security tool.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring a test instruction triggered by a user on a test system; and responding to the test instruction, and calling a camera connected with the test system to acquire the image of the bank safety tool.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring a sample set of bank security tools; and taking the sample image in the sample set as the reference input of the initial identification model, taking the class label of the bank safety tool corresponding to the sample image as the reference output of the initial identification model, and training the initial identification model according to a preset loss function to obtain the preset identification model.
The implementation principle and technical effect of the computer device provided by the embodiment of the present application are similar to those of the method embodiment described above, and are not described herein again.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
inputting the image of the bank safety tool into a preset identification model to obtain the category information of the bank safety tool; the identification model is obtained by training a sample set of bank safety tools; the sample set comprises sample images of a plurality of bank safety tools and category labels of the bank safety tools in the sample images; the category information of the bank safety tool comprises a bank identifier of a bank to which the bank safety tool belongs; and sending the category information of the bank security tool to the user.
In one embodiment, the category information of the bank security tool further includes a product version corresponding to the bank security tool.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a login state of a bank security tool output by a preset test system; the login state is used for representing whether the bank security tool can normally log in the bank system; and matching the category information of the bank safety tool with the login state, and upgrading the system according to the matching result.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the login state represents that the bank security tool normally logs in the bank system of the first bank, and the category information represents that the bank security tool belongs to the second bank, outputting a first upgrading instruction of the bank system of the first bank; and if the login state represents that the bank security tool is abnormal when logging in the bank system of the first bank, and the category information represents that the bank security tool belongs to the first bank, outputting a second upgrading instruction of the bank security tool.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a test instruction triggered by a user on a test system; and responding to the test instruction, and calling a camera connected with the test system to acquire the image of the bank safety tool.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a sample set of bank security tools; and taking the sample image in the sample set as the reference input of the initial identification model, taking the class label of the bank safety tool corresponding to the sample image as the reference output of the initial identification model, and training the initial identification model according to a preset loss function to obtain the preset identification model.
The implementation principle and technical effect of the computer-readable storage medium provided by this embodiment are similar to those of the above-described method embodiment, and are not described herein again.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
inputting the image of the bank safety tool into a preset identification model to obtain the category information of the bank safety tool; the identification model is obtained by training a sample set of bank safety tools; the sample set comprises sample images of a plurality of bank safety tools and category labels of the bank safety tools in the sample images; the category information of the bank safety tool comprises a bank identifier of a bank to which the bank safety tool belongs; and sending the category information of the bank security tool to the user.
In one embodiment, the category information of the bank security tool further includes a product version corresponding to the bank security tool.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a login state of a bank security tool output by a preset test system; the login state is used for representing whether the bank security tool can normally log in the bank system; and matching the category information of the bank safety tool with the login state, and upgrading the system according to the matching result.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the login state represents that the bank security tool normally logs in the bank system of the first bank, and the category information represents that the bank security tool belongs to the second bank, outputting a first upgrading instruction of the bank system of the first bank; and if the login state represents that the bank security tool is abnormal when logging in the bank system of the first bank, and the category information represents that the bank security tool belongs to the first bank, outputting a second upgrading instruction of the bank security tool.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a test instruction triggered by a user on a test system; and responding to the test instruction, and calling a camera connected with the test system to acquire the image of the bank safety tool.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a sample set of bank security tools; and taking the sample image in the sample set as the reference input of the initial identification model, taking the class label of the bank safety tool corresponding to the sample image as the reference output of the initial identification model, and training the initial identification model according to a preset loss function to obtain the preset identification model.
The computer program product provided in this embodiment has similar implementation principles and technical effects to those of the method embodiments described above, and is not described herein again.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims (15)

1. A method for identifying a security tool, the method comprising:
inputting an image of a bank safety tool into a preset identification model to obtain the category information of the bank safety tool; the identification model is obtained by training a sample set of bank safety tools; the sample set comprises sample images of a plurality of banking security tools and category labels of the banking security tools in the sample images; the category information of the bank safety tool comprises a bank identifier of a bank to which the bank safety tool belongs;
and sending the category information of the bank security tool to a user.
2. The method according to claim 1, wherein the category information of the bank security tool further comprises a product version corresponding to the bank security tool.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
acquiring a login state of the bank security tool output by a preset test system; the login state is used for representing whether the bank security tool can normally log in the bank system;
and matching the category information of the bank safety tool with the login state, and upgrading the system according to the matching result.
4. The method according to claim 3, wherein the matching of the category information of the bank security tool with the login status and the system upgrade according to the matching result comprise:
if the login state represents that the bank security tool normally logs in a bank system of a first bank, and the category information represents that the bank security tool belongs to a second bank, outputting a first upgrading instruction of the bank system of the first bank;
and if the login state represents that the bank security tool is abnormal when logging in the bank system of the first bank, and the category information represents that the bank security tool belongs to the first bank, outputting a second upgrading indication of the bank security tool.
5. The method of claim 3, further comprising:
acquiring a test instruction triggered by a user on the test system;
and responding to the test instruction, and calling a camera connected with the test system to acquire the image of the bank safety tool.
6. The method according to claim 1 or 2, characterized in that the method further comprises:
obtaining the sample set of bank security tools;
and taking the sample image in the sample set as the reference input of an initial recognition model, taking the class label of the bank safety tool corresponding to the sample image as the reference output of the initial recognition model, and training the initial recognition model according to a preset loss function to obtain the preset recognition model.
7. A safety tool identification device, the device comprising:
the input module is used for inputting the image of the bank safety tool into a preset identification model to obtain the category information of the bank safety tool; the identification model is obtained by training a sample set of bank safety tools; the sample set comprises sample images of a plurality of banking security tools and category labels of the banking security tools in the sample images; the category information of the bank safety tool comprises a bank identifier of a bank to which the bank safety tool belongs;
and the sending module is used for sending the category information of the bank security tool to a user.
8. The apparatus of claim 7, wherein the category information of the bank security tool further comprises a product version corresponding to the bank security tool.
9. The apparatus of claim 7 or 8, further comprising a first acquisition module and a matching module, wherein:
the first acquisition module is used for acquiring the login state of the bank safety tool output by a preset test system; the login state is used for representing whether the bank security tool can normally log in the bank system;
and the matching module is used for matching the category information of the bank safety tool with the login state and upgrading the system according to the matching result.
10. The method according to claim 9, wherein the matching module is further configured to output a first upgrade indication of a banking system of a first bank if the login status indicates that the banking security tool normally logs in the banking system of the first bank and the category information indicates that the banking security tool belongs to a second bank; and if the login state represents that the bank security tool is abnormal when logging in the bank system of the first bank, and the category information represents that the bank security tool belongs to the first bank, outputting a second upgrading indication of the bank security tool.
11. The method of claim 9, wherein the apparatus further comprises a second obtaining module and a calling module, wherein:
the second acquisition module is used for acquiring a test instruction triggered by a user on the test system;
and the calling module is used for calling a camera connected with the testing system to acquire the image of the bank safety tool in response to the testing instruction.
12. The apparatus of claim 7 or 8, further comprising a third acquisition module and a training module, wherein:
the third acquisition module is used for acquiring the sample set of the bank security tool;
and the training module is used for taking the sample images in the sample set as reference input of an initial recognition model, taking the class labels of the bank safety tools corresponding to the sample images as reference output of the initial recognition model, and training the initial recognition model according to a preset loss function to obtain the preset recognition model.
13. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
15. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
CN202111414712.4A 2021-11-25 2021-11-25 Security tool identification method and device, computer equipment and storage medium Pending CN114239695A (en)

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Application Number Priority Date Filing Date Title
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Publication Number Publication Date
CN114239695A true CN114239695A (en) 2022-03-25

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