Financial payment environment safety analysis system

Abstract

The invention relates to a financial payment environment safety analysis system. The system comprises a trigger detection device, a panoramic acquisition device, a layer-by-layer conversion device, a state judgment mechanism and a safety early warning mechanism. The financial payment environment safety analysis system is safe, reliable and stable in operation, and can provide safety guarantee for the financial payment process.

Description

Technical Field

[0001] The present invention relates to the field of financial payment, and in particular to a financial payment environment security analysis system. Background Art

[0003] CN119228382A discloses a data security detection method and system in a payment environment, which relates to the field of payment security detection technology, including: constructing a payment behavior graph network based on the acquired multimodal data; analyzing and identifying high-density subgraphs and associated group structures in the graph network, and identifying cyclic paths in the associated group structure; extracting time series features based on the cyclic paths, clustering and identifying the periodicity and clustering features of the cyclic paths, and setting them as path features; constructing a cyclic payment scoring model based on the detected cyclic paths and time series features; receiving new transaction data in real time, obtaining cyclic payment scores based on the cyclic payment scoring model, and making payment data security judgments. By constructing a payment behavior graph network, identifying cyclic paths, and performing cluster analysis in combination with time series features, accurate real-time monitoring and risk judgment of payment data are achieved, and the security, detection accuracy, and response efficiency of the payment system are improved.

[0004] CN118917848A discloses a payment environment information security management method for aggregate payment, comprising: using a secure hash algorithm to extract the fingerprint of the key code segment and data structure of the mobile aggregate payment application, and generating an application integrity check code; performing semantic equivalence transformation and control flow flattening processing on the code of the mobile aggregate payment application to generate obfuscated code, thereby increasing the difficulty of reverse analysis of the code; inserting anti-debugging and anti-injection detection logic into the key code segment of the mobile aggregate payment application, and interrupting the application operation when abnormal behavior is found; performing integrity check on the key data structure of the payment information of the mobile aggregate payment application to ensure that the payment data has not been tampered with, and performing integrity check on the key functions of the payment logic to prevent the payment logic from being tampered with; obtaining security threat intelligence of the running environment of the mobile aggregate payment application, dynamically adjusting the security policy, and updating the encryption algorithm and key. Summary of the invention

[0005] In order to solve the technical problems in related fields, the present invention provides a financial payment environment security analysis system, which adopts an artificial intelligence mechanism to intelligently judge whether there is a scenario in which other human targets are in close contact with the current payment human target during the financial payment process, and when the intelligent judgment exists, a hijacking warning signal is issued, otherwise, a hijacking undetected signal is issued, thereby providing security for the financial payment process. Specifically, the artificial intelligence mechanism adopted is based on an AI state judgment model with a customized structure, and the AI ​​state judgment model is a feedforward neural network after multiple trainings, and the number of trainings performed by the feedforward neural network is monotonically positively correlated with the number of pixels occupied by the foreground area in the layer-by-layer conversion picture obtained after targeted optimization processing of the payment panoramic picture, thereby ensuring the effectiveness and stability of the intelligent judgment results.

[0006] According to the present invention, a financial payment environment security analysis system is provided, the system comprising: A trigger detection device, used to send a first detection signal when detecting that the current financial payment terminal triggers a financial payment operation, and also used to send a second detection signal when detecting that the current financial payment terminal is not in the process of a financial payment operation; A panoramic acquisition device, connected to the trigger detection device, for performing on-site panoramic picture acquisition of the financial payment scene where the current financial payment terminal is located upon receiving the first detection signal, so as to obtain and output a corresponding payment panoramic picture; A layer-by-layer conversion device, connected to the panoramic acquisition device, is used to continuously perform an image smoothing operation based on a neighborhood averaging method, an artifact elimination operation, and a frequency domain enhancement operation on the received payment panoramic picture, so as to obtain and output a corresponding layer-by-layer conversion picture; A state judgment mechanism is connected to the layer-by-layer conversion device, and is used to detect two nearest human targets in the received layer-by-layer conversion picture as the first human target and the second human target, obtain each curvature value of the geometric curve corresponding to the image block occupied by the first human target in the received layer-by-layer conversion picture, and obtain each curvature value of the geometric curve corresponding to the image block occupied by the second human target in the received layer-by-layer conversion picture, and use an AI state judgment model to intelligently judge whether the first human target and the second human target are physically connected based on the number of pixels of the image block occupied by the first human target in the received layer-by-layer conversion picture, the number of pixels of the image block occupied by the second human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the first human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the second human target in the received layer-by-layer conversion picture, the amount of noise in the layer-by-layer conversion picture, each curvature value corresponding to the first human target, and each curvature value corresponding to the second human target; A safety warning mechanism connected to the state judgment mechanism, configured to send a hijacking warning signal when it is intelligently determined that the first human target and the second human target are physically connected, and to send a hijacking non-detection signal when it is intelligently determined that the first human target and the second human target are not physically connected; Among them, an AI state judgment model is used to intelligently judge whether the first human target and the second human target are physically connected based on the number of pixel points of the image block occupied by the first human target in the received layer-by-layer conversion picture, the number of pixel points of the image block occupied by the second human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the first human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the second human target in the received layer-by-layer conversion picture, the amount of noise in the layer-by-layer conversion picture, the various curvature values ​​corresponding to the first human target, and the various curvature values ​​corresponding to the second human target. The AI ​​state judgment model includes: the AI ​​state judgment model is a feedforward neural network that has performed multiple trainings, and the number of trainings performed by the feedforward neural network is monotonically positively correlated with the number of pixel points occupied by the foreground area in the layer-by-layer conversion picture.

[0007] It can be seen that the present invention mainly has the following three significant technical effects: Technical effect 1: The artificial intelligence mechanism is used to intelligently judge whether there are other human targets that are too close to the current payment human target during the financial payment process, and when the intelligent judgment exists, a hijacking warning signal is issued, otherwise, a hijacking undetected signal is issued, thereby providing security for the financial payment process; Technical effect 2: The artificial intelligence mechanism adopted is based on an AI state judgment model with a customized structure. The AI ​​state judgment model is a feedforward neural network that has performed multiple trainings. The number of trainings performed by the feedforward neural network is monotonically positively correlated with the number of pixels occupied by the foreground area in the layer-by-layer conversion picture obtained after the targeted optimization of the panoramic picture, thereby ensuring the effectiveness and stability of the intelligent judgment results. Technical effect three: Reliable and comprehensive multiple basic data are selected for the AI ​​state judgment model, and the multiple basic data include the number of pixels of the image block occupied by the first human target in the received layer-by-layer conversion picture, the number of pixels of the image block occupied by the second human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the first human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the second human target in the received layer-by-layer conversion picture, the amount of noise in the layer-by-layer conversion picture, each curvature value corresponding to the first human target, and each curvature value corresponding to the second human target, wherein the two closest human targets in the layer-by-layer conversion picture are detected as the first human target and the second human target, thereby further ensuring the effectiveness and stability of the intelligent judgment results.

[0008] The financial payment environment security analysis system of the present invention is safe, reliable and stable in operation. It uses an artificial intelligence mechanism to intelligently determine whether there is a scenario in which other human targets are too close to the current payment human target during the financial payment process, and sends a hijacking warning signal when the intelligent judgment exists, otherwise, sends a hijacking undetected signal, thereby providing security for the financial payment process. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 It is a schematic diagram of the internal structure of the financial payment environment security analysis system according to the first embodiment of the present invention.

[0010] Figure 2 It is a schematic diagram of the internal structure of a financial payment environment security analysis system according to the second embodiment of the present invention.

[0011] Figure 3 It is a schematic diagram of the internal structure of a financial payment environment security analysis system according to the third embodiment of the present invention. DETAILED DESCRIPTION

[0012] Because financial payment is closely related to economy and interests, its security is also one of the main aspects of financial payment. At the scene of financial payment, if there is a scene where other human targets are too close to the current payment target, the security of this financial payment scene will be extremely reduced. On the contrary, if there is no scene where other human targets are too close to the current payment target, the security of this financial payment scene will drop rapidly. However, how to accurately and effectively judge whether there is a scene where other human targets are too close to the current payment target at the financial payment scene is one of the technical problems that need to be solved at present.

[0013] The following is a detailed description of an embodiment of the financial payment environment security analysis system of the present invention with reference to the accompanying drawings.

[0014] Figure 1 This is a schematic diagram of the internal structure of a financial payment environment security analysis system according to a first embodiment of the present invention, wherein the system comprises: A trigger detection device, used to send a first detection signal when detecting that the current financial payment terminal triggers a financial payment operation, and also used to send a second detection signal when detecting that the current financial payment terminal is not in the process of a financial payment operation; For example, a programmable logic device may be selected to implement the trigger detection device, which is used to send a first detection signal when detecting that the current financial payment terminal triggers a financial payment operation, and is also used to send a second detection signal when detecting that the current financial payment terminal is not in the process of a financial payment operation; A panoramic acquisition device, connected to the trigger detection device, for performing on-site panoramic picture acquisition of the financial payment scene where the current financial payment terminal is located upon receiving the first detection signal, so as to obtain and output a corresponding payment panoramic picture; A layer-by-layer conversion device, connected to the panoramic acquisition device, is used to continuously perform an image smoothing operation based on a neighborhood averaging method, an artifact elimination operation, and a frequency domain enhancement operation on the received payment panoramic picture, so as to obtain and output a corresponding layer-by-layer conversion picture; A state judgment mechanism is connected to the layer-by-layer conversion device, and is used to detect two nearest human targets in the received layer-by-layer conversion picture as the first human target and the second human target, obtain each curvature value of the geometric curve corresponding to the image block occupied by the first human target in the received layer-by-layer conversion picture, and obtain each curvature value of the geometric curve corresponding to the image block occupied by the second human target in the received layer-by-layer conversion picture, and use an AI state judgment model to intelligently judge whether the first human target and the second human target are physically connected based on the number of pixels of the image block occupied by the first human target in the received layer-by-layer conversion picture, the number of pixels of the image block occupied by the second human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the first human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the second human target in the received layer-by-layer conversion picture, the amount of noise in the layer-by-layer conversion picture, each curvature value corresponding to the first human target, and each curvature value corresponding to the second human target; A safety warning mechanism connected to the state judgment mechanism, configured to send a hijacking warning signal when it is intelligently determined that the first human target and the second human target are physically connected, and to send a hijacking non-detection signal when it is intelligently determined that the first human target and the second human target are not physically connected; Among them, the AI ​​state judgment model is used to intelligently judge whether the first human target and the second human target are physically connected based on the number of pixel points of the image block occupied by the first human target in the received layer-by-layer conversion picture, the number of pixel points of the image block occupied by the second human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the first human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the second human target in the received layer-by-layer conversion picture, the amount of noise in the layer-by-layer conversion picture, each curvature value corresponding to the first human target and each curvature value corresponding to the second human target, including: the AI ​​state judgment model is a feedforward neural network that has performed multiple trainings, and the number of trainings performed by the feedforward neural network is monotonically positively correlated with the number of pixel points occupied by the foreground area in the layer-by-layer conversion picture; The panoramic acquisition device is further used to suspend the on-site panoramic picture acquisition of the financial payment scene where the current financial payment terminal is located when receiving the second detection signal; Among them, the layer-by-layer conversion device is connected to the panoramic acquisition device, and is used to continuously perform image smoothing operations, artifact elimination operations and frequency domain enhancement operations based on the neighborhood averaging method on the received payment panoramic picture to obtain and output the corresponding layer-by-layer conversion device. The layer-by-layer conversion device includes: the layer-by-layer conversion device includes a front-end conversion component, a mid-end conversion component and a back-end conversion component, which are respectively used to perform image smoothing operations, artifact elimination operations and frequency domain enhancement operations based on the neighborhood averaging method.

[0015] Figure 2 It is a schematic diagram of the internal structure of a financial payment environment security analysis system according to the second embodiment of the present invention.

[0016] Compared to Figure 1 The financial payment environment security analysis system according to the second embodiment of the present invention may further include: an amplitude extraction device, connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, respectively, for measuring the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively; Wherein, the amplitude extraction device is respectively connected with the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, and is used to respectively measure the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, including: the amplitude extraction device includes a plurality of vibration measurement units, which are respectively connected with the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, so as to complete the measurement of the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism; Wherein, the amplitude extraction device includes a plurality of vibration measurement units, which are respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism to complete the respective measurement of the current vibration amplitude of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, including: the plurality of vibration measurement units are a plurality of vibration sensing circuits, which are respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism to complete the respective measurement of the current vibration amplitude of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism; Wherein, the plurality of vibration measuring units are a plurality of vibration sensing circuits, which are used to be respectively connected with the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism to complete the respective measurement of the current vibration amplitude of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, including: the structures of the plurality of vibration sensing circuits are the same; Among them, the multiple vibration measurement units are multiple vibration sensing circuits, which are used to be respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism to complete the respective measurements of the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, and also include: the multiple vibration sensing circuits have the same vibration measurement upper limit value and vibration measurement lower limit value.

[0017] Figure 3 It is a schematic diagram of the internal structure of a financial payment environment security analysis system according to the third embodiment of the present invention.

[0018] Compared to Figure 1 The financial payment environment security analysis system according to the third embodiment of the present invention may further include: a cache execution component, which is arranged near the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism and is respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, and is used to provide data cache services for the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively; Wherein, the cache execution component is arranged near the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism and is respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, and is used to provide data cache services for the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively, including: the cache execution component is connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism through different data cache interfaces; And wherein, the cache execution component is arranged near the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the security warning mechanism and is respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the security warning mechanism, and is used to provide data caching services for the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the security warning mechanism respectively, and also includes: the data transmission bandwidth of different data cache interfaces adopted by the cache execution component is the same.

[0019] In addition, in the financial payment environment security analysis system, the layer-by-layer conversion device includes a front-end conversion component, a mid-end conversion component and a back-end conversion component, which are respectively used to perform an image smoothing operation based on a neighborhood averaging method, an artifact elimination operation and a frequency domain enhancement operation, including: the front-end conversion component, the mid-end conversion component and the back-end conversion component are sequentially connected; For example, the front-end conversion component, the mid-end conversion component and the back-end conversion component are sequentially connected including: different programmable logic devices can be selected to respectively implement the front-end conversion component, the mid-end conversion component and the back-end conversion component.

[0020] While the invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined in the following claims.

Claims

1. A financial payment environment security analysis system, characterized in that: The system comprises: A trigger detection device, used to send a first detection signal when detecting that the current financial payment terminal triggers a financial payment operation, and also used to send a second detection signal when detecting that the current financial payment terminal is not in the process of a financial payment operation; A panoramic acquisition device, connected to the trigger detection device, for performing on-site panoramic picture acquisition of the financial payment scene where the current financial payment terminal is located upon receiving the first detection signal, so as to obtain and output a corresponding payment panoramic picture; A layer-by-layer conversion device, connected to the panoramic acquisition device, is used to continuously perform an image smoothing operation based on a neighborhood averaging method, an artifact elimination operation, and a frequency domain enhancement operation on the received payment panoramic picture, so as to obtain and output a corresponding layer-by-layer conversion picture; A state judgment mechanism is connected to the layer-by-layer conversion device, and is used to detect two nearest human targets in the received layer-by-layer conversion picture as the first human target and the second human target, obtain each curvature value of the geometric curve corresponding to the image block occupied by the first human target in the received layer-by-layer conversion picture, and obtain each curvature value of the geometric curve corresponding to the image block occupied by the second human target in the received layer-by-layer conversion picture, and use an AI state judgment model to intelligently judge whether the first human target and the second human target are physically connected based on the number of pixels of the image block occupied by the first human target in the received layer-by-layer conversion picture, the number of pixels of the image block occupied by the second human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the first human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the second human target in the received layer-by-layer conversion picture, the amount of noise in the layer-by-layer conversion picture, each curvature value corresponding to the first human target, and each curvature value corresponding to the second human target; A safety warning mechanism connected to the state judgment mechanism, configured to send a hijacking warning signal when it is intelligently determined that the first human target and the second human target are physically connected, and to send a hijacking non-detection signal when it is intelligently determined that the first human target and the second human target are not physically connected; Among them, an AI state judgment model is used to intelligently judge whether the first human target and the second human target are physically connected based on the number of pixel points of the image block occupied by the first human target in the received layer-by-layer conversion picture, the number of pixel points of the image block occupied by the second human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the first human target in the received layer-by-layer conversion picture, the overall depth of field of the image block occupied by the second human target in the received layer-by-layer conversion picture, the amount of noise in the layer-by-layer conversion picture, the various curvature values ​​corresponding to the first human target, and the various curvature values ​​corresponding to the second human target. The AI ​​state judgment model includes: the AI ​​state judgment model is a feedforward neural network that has performed multiple trainings, and the number of trainings performed by the feedforward neural network is monotonically positively correlated with the number of pixel points occupied by the foreground area in the layer-by-layer conversion picture.

2. The financial payment environment security analysis system according to claim 1, characterized in that: The panoramic acquisition device is further used to suspend the on-site panoramic picture acquisition of the financial payment scene where the current financial payment terminal is located when receiving the second detection signal; Among them, the layer-by-layer conversion device is connected to the panoramic acquisition device, and is used to continuously perform image smoothing operations, artifact elimination operations and frequency domain enhancement operations based on the neighborhood averaging method on the received payment panoramic picture to obtain and output the corresponding layer-by-layer conversion device. The layer-by-layer conversion device includes: the layer-by-layer conversion device includes a front-end conversion component, a mid-end conversion component and a back-end conversion component, which are respectively used to perform image smoothing operations, artifact elimination operations and frequency domain enhancement operations based on the neighborhood averaging method.

3. The financial payment environment security analysis system according to claim 2, characterized in that: The system further comprises: an amplitude extraction device, connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, respectively, for measuring the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively; Among them, the amplitude extraction device is respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, and is used to respectively measure the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism. The amplitude extraction device includes multiple vibration measurement units, which are respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism to complete the respective measurements of the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism.

4. The financial payment environment security analysis system as claimed in claim 3, characterized in that: The amplitude extraction device includes multiple vibration measuring units, which are used to be connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively, so as to complete the separate measurement of the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively, including: the multiple vibration measuring units are multiple vibration sensing circuits, which are used to be connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively, so as to complete the separate measurement of the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively.

5. The financial payment environment security analysis system as claimed in claim 4, characterized in that: The multiple vibration measuring units are multiple vibration sensing circuits, which are used to be connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively, so as to complete the respective measurements of the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, including: the structures of the multiple vibration sensing circuits are the same.

6. The financial payment environment security analysis system according to claim 5, characterized in that: The multiple vibration measurement units are multiple vibration sensing circuits, which are used to be connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively, so as to complete the respective measurements of the current vibration amplitudes of the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism. It also includes: the multiple vibration sensing circuits have the same vibration measurement upper limit value and vibration measurement lower limit value.

7. The financial payment environment security analysis system as claimed in claim 3, characterized in that: The system further comprises: A cache execution component is arranged near the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism and is respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, and is used to provide data cache services for the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively.

8. The financial payment environment security analysis system according to claim 7, characterized in that: A cache execution component is arranged near the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism and is respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, and is used to provide data cache services for the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively, including: the cache execution component is connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism through different data cache interfaces.

9. The financial payment environment security analysis system according to claim 8, characterized in that: A cache execution component is arranged near the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism and is respectively connected to the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism, and is used to provide data cache services for the trigger detection device, the layer-by-layer conversion device, the state judgment mechanism and the safety warning mechanism respectively, and also includes: the data transmission bandwidth of different data cache interfaces used by the cache execution component is the same.

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