Subway payment server-side operating system based on embedded architecture
By using an embedded architecture operating system in the subway payment system for encrypted storage and risk management, the stability and security problems of traditional systems in the event of data leakage and security risk events are solved, and higher system stability and security are achieved ensures the normal operation of the subway payment system.
Patent Information
- Application Number
- CN202411233238.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-04
- Publication Date
- 2024-12-13
AI Technical Summary
The traditional subway payment system lacks stability and security guarantees in data leakage and security risk events, which may cause the system to be paralyzed or downtime, affecting passenger travel experience and traffic efficiency.
The subway payment server-side operating system based on an embedded architecture is adopted to obtain payment terminal data for encrypted storage, monitor system security risk events, evaluate independent processing capabilities, and handle it by itself or assist risk experts in handling it when the threshold is reached to ensure the security of the system.
It effectively avoids the expansion of data leakage and security risk events, improves the stability and security of the system, and ensures the efficient operation of the subway payment system.
Smart Images
Figure CN119130461A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of computer data processing, and in particular to a subway payment server-side operating system based on an embedded architecture. Background Art
[0002] With the rapid development of urban rail transit, subway, as an important part of urban transportation, is increasingly favored by people due to its convenience and efficiency.
[0003] Traditionally, the subway payment system includes a payment terminal (e.g., a payment gate in the subway) and a server. The server is used to obtain and store payment data recorded by the payment terminal (e.g., ride records of passengers with different identities, payment amounts, etc.).
[0004] However, as a key link in improving passengers' travel experience, the stability and security of the subway payment system are directly related to the quality of passengers' travel and the city's traffic operation efficiency.
[0005] However, the server lacks measures to ensure system stability and security. When the stored payment data is leaked or the system encounters a system security risk event (such as a cyber attack), the subway payment system may be partially paralyzed or even completely shut down.
[0006] Therefore, a solution is urgently needed. Summary of the invention
[0007] One of the purposes of the present invention is to provide a subway payment server-side operating system based on an embedded architecture, which encrypts and stores the multimodal payment data obtained from various payment terminals in the subway to avoid data leakage and improve the stability and security of the system. Secondly, when a system security risk event is monitored, it is evaluated whether the system can handle it by itself. If it can, the system security risk event is handled based on a risk handling knowledge base. Otherwise, the system security risk event is handled by auxiliary risk experts to promptly avoid the expansion of the impact of the system security risk event, thereby further improving the stability and security of the system.
[0008] The subway payment server operating system based on embedded architecture provided in the embodiment of the present invention is applied to the subway payment server, and includes:
[0009] The first operation module is used to perform the following operations through the embedded processor:
[0010] Obtain multimodal payment data from various payment terminals in the subway;
[0011] Encrypting and storing the multimodal payment data;
[0012] as well as,
[0013] Monitor system security risk events;
[0014] When monitored, evaluate the independent processing capability value of the system security risk event;
[0015] When the independent processing capability value is greater than or equal to the capability threshold, the system security risk event is processed based on the risk processing knowledge base; otherwise, the system security risk event is processed by an auxiliary risk expert.
[0016] Preferably, the first operation module evaluates the independent processing capability value of the system security risk event, including:
[0017] Extracting features of the system security risk event to obtain a plurality of first feature values;
[0018] Based on the multiple first eigenvalues, construct a first feature description vector;
[0019] The independent processing capability value corresponding to the first feature description vector is determined from an independent processing capability value evaluation library.
[0020] Preferably, the first operation module assists the risk expert in processing the system security risk event, including:
[0021] Constructing a visualization model of the system security risk events;
[0022] Based on the perspective sequence creation condition, create a standard processing logic perspective sequence of the visualization model;
[0023] displaying the visualization model to a risk expert;
[0024] Continuously obtain the current viewing perspective of the risk expert viewing the visualization model;
[0025] Matching the current viewing perspective with the first standard processing logic perspective in the standard processing logic perspective sequence to obtain a first matching degree;
[0026] When the first matching degree is greater than or equal to a first matching degree threshold, based on the first viewing angle restriction condition, restricting the current viewing angle; and matching the current viewing angle with the N+1th standard processing logic viewing angle in the standard processing logic viewing angle sequence to obtain a second matching degree;
[0027] When the second matching degree is greater than or equal to a second matching degree threshold, determining whether the N+1th standard processing logic perspective meets the restriction triggering condition; N=1, 2, ..., Z-1; Z is the total number of standard processing logic perspectives in the standard processing logic perspective sequence;
[0028] When the condition meets the requirement, the current viewing angle is restricted based on the second viewing angle restriction condition;
[0029] When the risk expert inputs the event handling strategy, the event handling strategy is executed.
[0030] Preferably, the viewing angle sequence creation conditions include:
[0031] The matching degree between the processing logic sequence of the standard processing logic perspective sequence and the standard processing logic sequence of the event type of the system security risk event is greater than or equal to a third matching degree threshold;
[0032] The steps for determining the processing logic sequence of the standard processing logic perspective sequence are as follows:
[0033] sequentially traverse the standard processing logic perspectives in the standard processing logic perspective sequence;
[0034] Each time during traversal, the model content in the traversed standard processing logic perspective is extracted in the visualization model;
[0035] Performing feature extraction on the model content to obtain a plurality of second feature values;
[0036] Based on the plurality of second eigenvalues, construct a second feature description vector;
[0037] Determine the processing logic corresponding to the second feature description vector from a processing logic determination library, and associate it with the sequence order of the traversed standard processing logic perspective in the standard processing logic perspective sequence;
[0038] After traversing the standard processing logic perspectives in the standard processing logic perspective sequence in sequence, the processing logics are sorted according to the sequence order associated with each processing logic to obtain the processing logic sequence.
[0039] Preferably, the first viewing angle restriction condition includes:
[0040] In a first future time period, a new first matching degree between the current viewing perspective and the first standard processing logic perspective is restricted to fall within a first matching degree interval.
[0041] Preferably, the restriction triggering condition includes:
[0042] There is no fixed order relationship between the Nth standard processing logic perspective and the N+1th standard processing logic perspective in the standard processing logic perspective sequence;
[0043] or,
[0044] There is a fixed order relationship between the Nth standard processing logic perspective and the N+1th standard processing logic perspective in the standard processing logic perspective sequence, and the Nth standard processing logic perspective in the standard processing logic perspective sequence has been restricted and triggered in history.
[0045] Preferably, within a future second time period, a new second matching degree between the current viewing perspective and the N+1th standard processing logic perspective is restricted to fall within a second matching degree interval.
[0046] Preferably, the subway payment server-side operating system based on the embedded architecture further includes:
[0047] The second operation module is used to perform the following operations through the embedded processor:
[0048] receiving access control requests;
[0049] Performing authority verification on the access control request;
[0050] When the verification is passed, respond to the access control request.
[0051] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.
[0052] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0054] Figure 1 A schematic diagram of a subway payment server-side operating system based on an embedded architecture in an embodiment of the present invention;
[0055] Figure 2 is a schematic diagram of the execution operation steps of the first operation module in an embodiment of the present invention;
[0056] Figure 3 is another schematic diagram of the execution operation steps of the first operation module in an embodiment of the present invention;
[0057] Figure 4 It is another schematic diagram of the subway payment server-side operating system based on the embedded architecture in an embodiment of the present invention. DETAILED DESCRIPTION
[0058] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.
[0059] The embodiment of the present invention provides a subway payment server operating system based on an embedded architecture, which is applied to a subway payment server, such as Figure 1-3 As shown, including:
[0060] The first operating module 1 is used to perform the following operations through an embedded processor:
[0061] S11, obtaining multimodal payment data of each payment terminal in the subway;
[0062] S12, encrypting and storing the multimodal payment data;
[0063] as well as,
[0064] S21. Monitoring system security risk events;
[0065] S22. When monitoring occurs, evaluate the independent processing capability value of the system security risk event;
[0066] S23. When the independent processing capability value is greater than or equal to the capability threshold, the system security risk event is processed based on the risk processing knowledge base; otherwise, the risk expert is assisted in processing the system security risk event.
[0067] In the above technical solution, the subway payment server is remotely connected to each payment terminal in the subway; an embedded processor is set in the subway payment server to perform related operations. The embedded processor has the advantages of high working stability and low power consumption, which can ensure the stability of the subway payment server to a certain extent; the multimodal payment data includes: the identity of the subway passenger, the ride time, the starting station of the ride, the payment amount, the payment time, etc.; after obtaining the multimodal data, it is encrypted and stored, and the encryption method includes 3DES algorithm, AES algorithm, etc.; the system security risk event can be a network attack event, a data leakage event, etc.; the independent processing capability value represents the system's independent processing of the system security risk event The degree of processing capability; the capability threshold can be, for example, 8; when the independent processing capability value is greater than or equal to the capability threshold, it means that the system has a high degree of ability to independently process system security risk events, and can process system security risk events based on the risk processing knowledge base; the risk processing knowledge base contains risk processing knowledge corresponding to different types of system security risk events, and the risk processing knowledge instructs the system how to process system security risk events, which can be set in advance by technical personnel; otherwise, that is, when the independent processing capability value is less than the capability threshold, the auxiliary risk expert processes the system security risk event; the risk expert is a person with rich experience in handling system security risk events.
[0068] This application encrypts and stores the multimodal payment data obtained from each payment terminal in the subway to avoid data leakage and improve the stability and security of the system. Secondly, when a system security risk event is monitored, it evaluates whether the system can handle it by itself. If it can, it handles the system security risk event based on the risk handling knowledge base. Otherwise, it assists risk experts in handling the system security risk event to promptly avoid the expansion of the impact of the system security risk event, further improving the stability and security of the system.
[0069] In one embodiment, the first operation module evaluates the independent processing capability value of the system security risk event, including:
[0070] Extracting features of the system security risk event to obtain a plurality of first feature values;
[0071] Based on the multiple first eigenvalues, construct a first feature description vector;
[0072] The independent processing capability value corresponding to the first feature description vector is determined from an independent processing capability value evaluation library.
[0073] In the above technical scheme, the first eigenvalue includes: the event type of the system security risk event, the time since the event occurred, the risk level, etc.; multiple first eigenvalues are constructed into a first feature description vector in the form of a vector; there are independent processing capability values corresponding to different first feature description vectors in the independent processing capability value evaluation library; the greater the difficulty in processing the system security risk event represented by the multiple first eigenvalues constructed into the first feature description vector, the smaller the corresponding independent processing capability value, for example: the more difficult the event type of the system security risk event in the first eigenvalue is to process, the longer the event has been sent, and the greater the risk level, the greater the difficulty in processing the system security risk event represented by the constructed system security risk event, and the smaller the independent processing capability value corresponding to the constructed first feature description vector; technical personnel can set up an independent processing capability value evaluation library according to actual needs.
[0074] The embodiment of the present invention introduces an independent processing capability value evaluation library to quickly evaluate the independent processing capability value of system security risk events, thereby improving the work efficiency of the system.
[0075] In one embodiment, the first operation module assists the risk expert in processing the system security risk event, including:
[0076] Constructing a visualization model of the system security risk events;
[0077] Based on the perspective sequence creation condition, create a standard processing logic perspective sequence of the visualization model;
[0078] displaying the visualization model to a risk expert;
[0079] Continuously obtain the current viewing perspective of the risk expert viewing the visualization model;
[0080] Matching the current viewing perspective with the first standard processing logic perspective in the standard processing logic perspective sequence to obtain a first matching degree;
[0081] When the first matching degree is greater than or equal to a first matching degree threshold, based on the first viewing angle restriction condition, restricting the current viewing angle; and matching the current viewing angle with the N+1th standard processing logic viewing angle in the standard processing logic viewing angle sequence to obtain a second matching degree;
[0082] When the second matching degree is greater than or equal to a second matching degree threshold, determining whether the N+1th standard processing logic perspective meets the restriction triggering condition; N=1, 2, ..., Z-1; Z is the total number of standard processing logic perspectives in the standard processing logic perspective sequence;
[0083] When the condition meets the requirement, the current viewing angle is restricted based on the second viewing angle restriction condition;
[0084] When the risk expert inputs the event handling strategy, the event handling strategy is executed.
[0085] In the above technical solution, when the independent processing capability value is less than the capability threshold, it indicates that the system security risk event is difficult to handle and requires the intervention of risk experts and assistance to the risk experts; a visualization model of the system security risk event is constructed to facilitate risk experts to intuitively understand the event situation of the system security risk event by viewing the visualization model; when realizing the construction of the visualization model, a visualization template model can be set in advance for system security risk events of different event types. When constructing, the system security risk event is mapped into the visualization template model of the corresponding event type. For example, if the event type is payment data leakage, the visualization template model is a storage space for storing payment data. A three-dimensional view of the room with different storage nodes on it. When mapping system security risk events, find the corresponding data leakage node in the storage node on the three-dimensional view, and annotate the data leakage time, the thief, the amount of data leakage and other information next to it; each standard processing logic perspective in the standard processing logic perspective sequence is to use the standard processing logic to process the system security risk event in accordance with the standard processing logic. When it is necessary to view the perspective of the visualization model in sequence, for example: the system security risk event is a payment data leakage event, and each standard processing logic perspective in the standard processing logic perspective sequence is to first view the overall leakage of the payment data in the visualization model (for example: the total amount of leakage, etc.), and then according to each The data leakage severity of the data leakage node is from large to small, and the local leakage of the corresponding data leakage node is checked in turn to decide the targeted processing strategy; when the risk expert views the visualization model, the current viewing perspective is generated; the first matching degree threshold can be, for example, 80%; when the first matching degree is greater than or equal to the first matching degree threshold, it means that the current viewing perspective of the risk expert is very close to the first standard processing logic perspective in the standard processing logic perspective sequence, indicating that the risk expert has officially started to process the system security risk event. Based on the first perspective restriction condition, the current viewing perspective is restricted to ensure that the risk expert processes the system security risk event. The processing logic is as close to the standard processing logic as possible; the second matching degree threshold can be, for example, 65%; when the second matching degree is greater than or equal to the second matching degree threshold, it means that the current viewing perspective of the risk expert is relatively close to the N+1th standard processing logic perspective. When the N+1th standard processing logic perspective meets the restriction triggering condition, it means that the current viewing perspective of the risk expert also needs to be restricted. Based on the second perspective restriction condition, the current viewing perspective is restricted to further ensure that the processing logic of the risk expert for handling system security risk events is as close to the standard processing logic as possible; when the risk expert decides on the event handling strategy, it will be input and the system can execute it.
[0086] Generally, when risk experts view visualization models, they may not know where to start because the model content in the visualization model is large and the display is complex. In addition, when processing system security risk events based on the visualization model, in different processing logic stages, they may view too much model content that is not valuable for system security risk event processing, that is, content that is irrelevant to the processing logic stage, which affects the efficiency of risk experts in processing system security risk events. The embodiments of the present invention can solve these problems: create a standard processing logic perspective sequence for the visualization model, and restrict the perspective of the risk expert based on the matching of the risk expert's current viewing perspective with the 1st standard processing logic perspective and the N+1th standard processing logic perspective in the standard processing logic perspective sequence, so as to ensure that the risk expert can continuously process system security risk events in accordance with the standard processing logic, which greatly improves the efficiency of risk experts in processing system security risk events.
[0087] In one embodiment, the viewing angle sequence creation condition includes:
[0088] The matching degree between the processing logic sequence of the standard processing logic perspective sequence and the standard processing logic sequence of the event type of the system security risk event is greater than or equal to a third matching degree threshold;
[0089] The steps for determining the processing logic sequence of the standard processing logic perspective sequence are as follows:
[0090] sequentially traverse the standard processing logic perspectives in the standard processing logic perspective sequence;
[0091] Each time during traversal, the model content in the traversed standard processing logic perspective is extracted in the visualization model;
[0092] Performing feature extraction on the model content to obtain a plurality of second feature values;
[0093] Based on the plurality of second eigenvalues, construct a second feature description vector;
[0094] Determine the processing logic corresponding to the second feature description vector from a processing logic determination library, and associate it with the sequence order of the traversed standard processing logic perspective in the standard processing logic perspective sequence;
[0095] After traversing the standard processing logic perspectives in the standard processing logic perspective sequence in sequence, the processing logics are sorted according to the sequence order associated with each processing logic to obtain the processing logic sequence.
[0096] In the above technical scheme, the processing logic sequence of the standard processing logic perspective sequence has various processing logics represented by the standard processing logic perspective sequence; the standard processing logic sequence of the event type of the system security risk event has various standard processing logics for processing the system security risk event of the event type, for example: if the event type is a payment data leakage event, then the various standard processing logics are successively to analyze the overall leakage of the payment data, and then to focus on analyzing the local leakage of the corresponding data leakage nodes in order from large to small according to the severity of the data leakage of each data leakage node; the third matching degree threshold can be, for example: 90%; when the matching degree between the processing logic sequence and the standard processing logic sequence is greater than or equal to the third matching degree threshold, it means that the various standard processing logic perspectives in the created standard processing logic perspective sequence are the perspectives that should be viewed in sequence when processing the system security risk event according to the standard processing logic; the standard processing logic The model content within the processing logic perspective is the content that can be viewed when viewing the visualization model from the traversed standard processing logic perspective; the second eigenvalue includes: the content type of the model content, etc.; multiple second eigenvalues are constructed into a second feature description vector in the form of a vector; the processing logic determines that there are processing logics corresponding to different second feature description vectors in the library, and the processing logic is the logic for processing system security risk events when viewing the model content, which is reflected by the multiple second eigenvalues constructed into the second feature description vector. For example: if the second eigenvalue is that the content type of the model content is the overall leakage of payment data, then the corresponding processing logic after constructing the second feature description vector is to analyze the overall leakage of payment data; the determined processing logic is associated with the sequence order of the traversed standard processing logic perspective in the standard processing logic perspective sequence, and finally each processing logic is sorted according to the associated sequence order to obtain a processing logic sequence.
[0097] In one embodiment, the first viewing angle restriction condition includes:
[0098] In a first future time period, a new first matching degree between the current viewing perspective and the first standard processing logic perspective is restricted to fall within a first matching degree interval.
[0099] In the above technical solution, the first time period in the future refers to the time period from the moment when the first matching degree is greater than or equal to the first matching degree threshold to the moment 10 minutes in the future; within the first time period in the future, a new first matching degree will be generated between the current viewing perspective and the first standard processing logic perspective; the first matching degree interval can be 50% to 100%; within the first time period in the future, the new first matching degree is restricted to fall within the first matching degree interval to ensure that risk experts can view the model content from the first standard processing logic perspective as much as possible, thereby conforming to the standard processing logic.
[0100] In one embodiment, the restriction triggering condition includes:
[0101] There is no fixed order relationship between the Nth standard processing logic perspective and the N+1th standard processing logic perspective in the standard processing logic perspective sequence;
[0102] or,
[0103] There is a fixed order relationship between the Nth standard processing logic perspective and the N+1th standard processing logic perspective in the standard processing logic perspective sequence, and the Nth standard processing logic perspective in the standard processing logic perspective sequence has been restricted and triggered in history.
[0104] In the above technical solution, the fixed order relationship refers to the need to view the visualization model from two adjacent standard processing logic perspectives continuously under the standard processing logic of the system security risk event. For example, if the system security risk event is a payment data leakage event, the standard analysis logic is to analyze the overall leakage of the payment data in sequence, and then focus on analyzing the local leakage of the corresponding data leakage nodes according to the severity of the data leakage of each data leakage node from large to small. Then, the two adjacent standard processing logic perspectives with a fixed order relationship are the perspective of viewing the overall leakage of the payment data first and then viewing the local leakage of the data leakage node; when there is no fixed order relationship between the Nth standard processing logic perspective and the N+1th standard processing logic perspective, it means that the risk expert can directly view the visualization model from the N+1th standard processing logic perspective; when there is a fixed order relationship between the Nth standard processing logic perspective and the N+1th standard processing logic perspective, if the Nth standard processing logic perspective in the standard processing logic perspective sequence has been restricted and triggered in history, that is, the risk expert has viewed the visual model from the Nth standard processing logic perspective, it also means that the risk expert can directly view the visualization model from the N+1th standard processing logic perspective. The embodiments of the present invention reasonably set the limit trigger conditions, further ensuring that risk experts follow the standard processing logic when processing system security risk events based on the visualization model, thereby improving the work efficiency of risk experts.
[0105] In one embodiment, within a future second time period, a new second matching degree between the current viewing perspective and the N+1th standard processing logic perspective is restricted to fall within a second matching degree interval.
[0106] In the above technical solution, the second time period in the future refers to the time period from the moment when the second matching degree is greater than or equal to the first matching degree threshold to the moment 5 minutes in the future; in the second time period in the future, a new second matching degree will be generated between the current viewing perspective and the N+1th standard processing logic perspective; the second matching degree interval can be 40% to 100%; in the second time period in the future, the new second matching degree is restricted to fall into the second matching degree interval to ensure that risk experts can view the model content from the N+1th standard processing logic perspective as much as possible, thereby conforming to the standard processing logic.
[0107] In one embodiment, the subway payment server-side operating system based on the embedded architecture is characterized in that: Figure 4 As shown, it also includes:
[0108] The second operating module 2 is used to perform the following operations through the embedded processor:
[0109] receiving access control requests;
[0110] Performing authority verification on the access control request;
[0111] When the verification is passed, respond to the access control request.
[0112] In the above technical solution, the access control request is a request from another party to access the control system, and the authority verification can be performed on it, and a response can be made after the verification is passed.
[0113] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.
Claims
1. The subway payment server operating system based on embedded architecture is applied to the subway payment server, which is characterized by: include: The first operation module is used to perform the following operations through the embedded processor: Obtain multimodal payment data from various payment terminals in the subway; Encrypting and storing the multimodal payment data; as well as, Monitor system security risk events; When monitored, evaluate the independent processing capability value of the system security risk event; When the independent processing capability value is greater than or equal to the capability threshold, processing the system security risk event based on the risk processing knowledge base; Otherwise, the auxiliary risk expert handles the system security risk event.
2. The subway payment server-side operating system based on embedded architecture as claimed in claim 1, characterized in that: The first operation module evaluates the independent processing capability value of the system security risk event, including: Extracting features of the system security risk event to obtain a plurality of first feature values; Based on the multiple first eigenvalues, construct a first feature description vector; The independent processing capability value corresponding to the first feature description vector is determined from an independent processing capability value evaluation library.
3. The subway payment server-side operating system based on embedded architecture as claimed in claim 1, characterized in that: The first operation module assists the risk expert in processing the system security risk event, including: Constructing a visualization model of the system security risk events; Based on the perspective sequence creation condition, create a standard processing logic perspective sequence of the visualization model; displaying the visualization model to a risk expert; Continuously obtain the current viewing perspective of the risk expert viewing the visualization model; Matching the current viewing perspective with the first standard processing logic perspective in the standard processing logic perspective sequence to obtain a first matching degree; When the first matching degree is greater than or equal to a first matching degree threshold, based on the first viewing angle restriction condition, restricting the current viewing angle; and matching the current viewing angle with the N+1th standard processing logic viewing angle in the standard processing logic viewing angle sequence to obtain a second matching degree; When the second matching degree is greater than or equal to a second matching degree threshold, determining whether the N+1th standard processing logic perspective meets the restriction triggering condition; N=1, 2, ..., Z-1; Z is the total number of standard processing logic perspectives in the standard processing logic perspective sequence; When the condition meets the requirement, the current viewing angle is restricted based on the second viewing angle restriction condition; When the risk expert inputs the event handling strategy, the event handling strategy is executed.
4. The subway payment server-side operating system based on embedded architecture as claimed in claim 3, characterized in that: The viewing sequence creation conditions include: The matching degree between the processing logic sequence of the standard processing logic perspective sequence and the standard processing logic sequence of the event type of the system security risk event is greater than or equal to a third matching degree threshold; The steps for determining the processing logic sequence of the standard processing logic perspective sequence are as follows: sequentially traverse the standard processing logic perspectives in the standard processing logic perspective sequence; Each time during traversal, the model content in the traversed standard processing logic perspective is extracted in the visualization model; Performing feature extraction on the model content to obtain a plurality of second feature values; Based on the plurality of second eigenvalues, construct a second feature description vector; Determine the processing logic corresponding to the second feature description vector from a processing logic determination library, and associate it with the sequence order of the traversed standard processing logic perspective in the standard processing logic perspective sequence; After traversing the standard processing logic perspectives in the standard processing logic perspective sequence in sequence, the processing logics are sorted according to the sequence order associated with each processing logic to obtain the processing logic sequence.
5. The subway payment server-side operating system based on embedded architecture as claimed in claim 3, characterized in that: The first viewing angle restriction condition includes: In a first future time period, a new first matching degree between the current viewing perspective and the first standard processing logic perspective is restricted to fall within a first matching degree interval.
6. The subway payment server-side operating system based on embedded architecture as claimed in claim 3, characterized in that: The restriction triggering conditions include: There is no fixed order relationship between the Nth standard processing logic perspective and the N+1th standard processing logic perspective in the standard processing logic perspective sequence; or, There is a fixed order relationship between the Nth standard processing logic perspective and the N+1th standard processing logic perspective in the standard processing logic perspective sequence, and the Nth standard processing logic perspective in the standard processing logic perspective sequence has been restricted and triggered in history.
7. The subway payment server-side operating system based on embedded architecture as claimed in claim 3, characterized in that: In a future second time period, a new second matching degree between the current viewing perspective and the N+1th standard processing logic perspective is restricted to fall within a second matching degree interval.
8. The subway payment server-side operating system based on embedded architecture as claimed in claim 1, characterized in that: Also includes: The second operation module is used to perform the following operations through the embedded processor: receiving access control requests; Performing authority verification on the access control request; When the verification is passed, respond to the access control request.