Platform network data security storage system for e-commerce platform

Abstract

The present invention discloses a platform network data security storage system for an e-commerce platform, relates to the technical field of network data security storage, and solves the technical problem in the prior art that load balancing control cannot be performed in the communication stage, resulting in the inability to ensure the qualified operation of the e-commerce platform as the number of bursts increases. Specifically, a load balancing unit performs load balancing control on the communication stage between the e-commerce platform and the user terminal, obtains platform data information and platform storage information, and infers whether the current load is balanced based on information comparison; at the same time, it ensures that each user terminal can balance data resources when browsing the e-commerce platform at the same time, avoids deviations in the browsing data of the user terminal, causes excessive deviations in the data output of each data center, and causes uneven utilization of the storage space of the distributed database; through load balancing, data storage management and control can be effectively performed to ensure full utilization of storage resources.

Description

Technical Field

[0001] The present invention relates to the technical field of network data security storage, and in particular to a platform network data security storage system for an e-commerce platform. Background Art

[0002] An e-commerce platform is a platform that uses Internet technology to provide online transactions, payment, logistics and other services to businesses and consumers. It plays an important role in modern business. The basic architecture and related measures of an e-commerce platform network data security storage system include: user authentication and access control, data encryption, data backup and recovery, database security, application security, network security, data privacy protection, security monitoring and early warning.

[0003] However, in the prior art, security monitoring cannot be performed during the communication stage between the e-commerce platform and the user terminal, and security protection cannot be performed inside the data center, so that the security of communication between the e-commerce platform and the user terminal cannot be guaranteed. The failure to perform double security monitoring reduces the data security of the e-commerce platform. In addition, load balancing control cannot be performed during the communication stage, resulting in the inability to guarantee the qualified operation of the e-commerce platform as the number of bursts increases.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a platform network data security storage system for an e-commerce platform.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A platform network data security storage system for an e-commerce platform, including an e-commerce platform, wherein the e-commerce platform is matched with a security storage system, a distributed database in the security storage system is used as a hub to communicate with a data security server of the security storage system, and the data security server is communicated with a security supervision unit, a load balancing unit and a data control unit;

[0008] The security supervision unit conducts security monitoring on the public network exit of the e-commerce platform and performs security protection inside the data center. It collects security supervision information, substitutes it into the formula to obtain the data security supervision analysis coefficient, and infers whether the security supervision analysis is normal based on the coefficient comparison;

[0009] The load balancing unit performs load balancing control on the communication stage between the e-commerce platform and the user terminal, marks the communication stage between the e-commerce platform and the user terminal as the data output period, obtains the platform data information and platform storage information, and infers whether the current load is balanced based on information comparison;

[0010] After completing security supervision and load balancing, the data control unit performs data control on the communication stage between the e-commerce platform and the user terminal.

[0011] As a preferred implementation of the present invention, the security supervision information includes the browsing page data update jump frequency of the current user terminal in the e-commerce platform during the stage of sending the digital certificate of the user terminal when the user terminal establishes a connection with the e-commerce platform, the encrypted storage duration of the browsing traces of the e-commerce platform background corresponding to the key information input when the user terminal verifies its identity, and the data volume ratio of the key information and non-key information purchased by the user terminal when the e-commerce platform pushes the user terminal as an advertisement, and the labels GXT, CUX, and WBZ are set respectively.

[0012] As a preferred embodiment of the present invention, the formula is:

[0013] Among them, Fgb1, Fgb2 and Fgb3 are preset proportional coefficients, e is a natural constant, and α is an error correction factor with a value of 0.98; t is the cumulative browsing time of the user terminal in the e-commerce platform.

[0014] As a preferred embodiment of the present invention, if the data security supervision analysis coefficient exceeds the data security supervision analysis coefficient threshold, the security supervision analysis is abnormal and a security supervision abnormal signal is generated; if the data security supervision analysis coefficient does not exceed the data security supervision analysis coefficient threshold, the security supervision analysis is normal and a security supervision normal signal is generated.

[0015] As a preferred embodiment of the present invention, the platform data information and the platform storage information are respectively the maximum cumulative time span value at any time corresponding to the length of time when the e-commerce platform displays data update speed and the length of time when the user terminal browses the data storage space and occupies more time during the process of increasing data burst during the data output period, and the deviation value ratio corresponding to the maximum deviation value of the real-time storage volume of distributed storage data corresponding to each user terminal and the minimum deviation value of the storage volume floating speed when the data burst increases during the data output period.

[0016] As a preferred implementation of the present invention, if the platform data information exceeds the maximum cumulative time span value threshold at any time, or the platform storage information exceeds the deviation value ratio threshold, it is determined that the load balancing analysis in the data output period is abnormal, and a balancing control signal is generated;

[0017] If the platform data information does not exceed the maximum cumulative duration span value threshold at any time, and the platform storage information does not exceed the deviation value ratio threshold, it is determined that the load balancing analysis during the data output period is normal and a load balancing signal is generated.

[0018] As a preferred embodiment of the present invention, the data control unit process is as follows:

[0019] The data output period is divided into several time points, and the data output volume within the time span of adjacent time points does not exceed the set data volume threshold. Each time point is analyzed to obtain the floating span value of the data burst volume growth at each time point relative to the previous time point, and the time point type is divided into burst time and non-burst time according to the comparison of the data burst volume floating span value threshold;

[0020] The burst moment and the non-burst moment are analyzed, and the large-scale data moment is obtained based on the analysis; the large-scale data moment is analyzed and the backup moment is obtained, and the backup moment is sent to the data security server. After the data security server receives the backup moment, it will mirror the output data corresponding to the backup moment in the data production period, and the backup time will last until the next backup moment occurs and the backup is completed.

[0021] As a preferred implementation of the present invention, if the floating span value threshold of the data burst volume growth exceeds the growth span value threshold, the current time point is marked as the burst moment; otherwise, if the floating span value threshold of the data burst volume growth does not exceed the growth span value threshold, the current time point is marked as the non-burst moment.

[0022] As a preferred implementation of the present invention, a floating span value corresponding to the data burst amount reduction of the current moment relative to the next moment is obtained. If the floating span value of the data burst amount reduction of the current moment exceeds the reduced span value threshold, when the current moment is a burst moment, the corresponding burst moment is marked as a large-scale data moment; when the current moment is a non-burst moment, the previous moment point of the corresponding non-burst moment is marked as a large-scale data moment;

[0023] If the floating span value of the data burst at the current moment does not exceed the span reduction threshold, the span reduction threshold sets the minimum data volume. When this situation occurs, it indicates that the data span has increased. If the current moment is a non-burst moment or a burst moment, the corresponding moment will be uniformly marked as a large-range data moment.

[0024] As a preferred implementation of the present invention, the floating deviation value of the data transmission speed of the same user terminal when each large-scale data moment corresponds to the data burst growth stage, and the duration of the constant and non-floating data transmission speed corresponding to different user terminals are obtained:

[0025] If the floating deviation value of the data transmission speed of the same user terminal when the large-scale data moment corresponds to the data burst growth stage exceeds the floating deviation value threshold, or the continuous duration that the corresponding data transmission speeds of different user terminals are constant and cannot float does not exceed the continuous duration threshold, the corresponding large-scale data moment will not be used as the backup moment; if the floating deviation value of the data transmission speed of the same user terminal when the large-scale data moment corresponds to the data burst growth stage does not exceed the floating deviation value threshold, and the continuous duration that the corresponding data transmission speeds of different user terminals are constant and cannot float exceeds the continuous duration threshold, the corresponding large-scale data moment will be used as the backup moment.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. In the present invention, security monitoring is performed on the public network exit in the e-commerce platform, and security protection is performed inside the data center to infer whether the security of the user terminal accessing the e-commerce platform meets the requirements, and to avoid threats to the data in the data center after the network access is qualified, resulting in unreasonable data security protection; through double security monitoring, the data security in the e-commerce platform can be more accurately inferred, thereby improving the operating efficiency of the e-commerce platform.

[0028] 2. In the present invention, load balancing control is performed on the communication stage between the e-commerce platform and the user terminal. Through load balancing control, as the number of bursts increases during the communication stage between the e-commerce platform and the user terminal, the operation of the e-commerce platform is guaranteed to be qualified. At the same time, it is ensured that each user terminal can balance data resources when browsing the e-commerce platform at the same time, avoiding deviations in the browsing data of the user terminals, resulting in excessive deviations in the data output of each data center, and resulting in uneven utilization of the storage space of the distributed database; through load balancing, data storage management and control can be effectively performed to ensure full utilization of storage resources.

[0029] 3. In the present invention, data control is performed during the communication stage between the e-commerce platform and the user terminal to ensure the security of data storage and the operating efficiency of the e-commerce platform. Data in the data center is backed up in a timely manner based on real-time demand analysis to ensure that data backup can meet the needs of data loss and retrieval, avoiding the impact of data backup lag that causes the retrieved data to not match the current lost data. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0031] Figure 1 A schematic diagram of the communication connection process between the e-commerce platform and the user terminal in the present invention;

[0032] Figure 2It is a system structure block diagram of the platform network data security storage system used for the e-commerce platform in the present invention. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0035] Embodiment 1

[0036] To build an e-commerce platform for all categories of products based on user needs, please refer to Figure 1 As shown, the service terminals of the e-commerce platform are users, and the number of users is not unique and the number is continuously increasing. After the user enters the e-commerce platform, the real-time user terminal enters the data center through the public network exit, and the data center matches the user, and the number is synchronized with the user; after entering the data center, security protection is performed to determine whether the security of the current user entering the data center meets the actual needs, and load balancing is performed after the security is qualified to ensure the efficient operation of the e-commerce platform;

[0037] At the same time, after users access the e-commerce platform, according to the increase in user browsing tracks, real-time data is generated and stored in the data center. The front-end entrance performs distributed management and control of orders, front-ends and back-ends. Order management is the real-time collection of user data, such as user terminal information, identity information, etc.; commodity management manages commodity data in the e-commerce platform, such as inventory, supply speed and other parameters of various commodities; back-end management manages order data in the e-commerce platform, such as the shipment volume and waiting volume of various commodities; when processing data in several data centers, real-time data is sent to the distributed database for storage;

[0038] Embodiment 2

[0039] The previous embodiment monitors the data flow and data source of the e-commerce platform throughout the process. Based on the previous embodiment, this embodiment sets up a platform network data security storage system for the e-commerce platform. The entire system cooperates with the e-commerce platform to perform data storage security management and control on it; please refer to Figure 2 As shown, the distributed database has a data security server for bidirectional communication connection;

[0040] The data security server is communicatively connected with a security supervision unit, a load balancing unit and a data control unit;

[0041] The data security server generates a security supervision signal and sends it to the security supervision unit. After receiving the security supervision signal, the security supervision unit conducts security monitoring on the public network exit of the e-commerce platform and performs security protection inside the data center to infer whether the security of the user terminal accessing the e-commerce platform meets the requirements, and also avoids threats to the data in the data center after the network access is qualified, resulting in unreasonable data security protection. Through double security monitoring, the data security in the e-commerce platform is more accurately inferred, which improves the operation efficiency of the e-commerce platform;

[0042] The browsing page data update jump frequency of the current user terminal in the e-commerce platform during the user terminal digital certificate sending stage when the user terminal establishes a connection with the e-commerce platform is obtained, wherein, when the digital certificate fails to pass the server verification, the user terminal browses the e-commerce platform, and because the identity authentication is not obtained, the current e-commerce platform is in a waiting interface or an advertisement push interface. If an interface update occurs, data traffic is generated, which is likely to cause data transmission risks; and the browsing page data update jump frequency of the current user terminal in the e-commerce platform during the user terminal digital certificate sending stage when the user terminal establishes a connection with the e-commerce platform is marked as GXT;

[0043] After the data certificate of the user terminal is verified by the e-commerce platform server, the encrypted storage duration of the browsing traces of the e-commerce platform background corresponding to the key information input by the user terminal when verifying the identity is obtained, and the encrypted storage duration of the browsing traces of the e-commerce platform background corresponding to the key information input by the user terminal when verifying the identity is marked as CUX;

[0044] After the user terminal and the e-commerce platform have established a qualified communication with each other, the data volume ratio of the key information and non-key information of the user terminal purchased when the e-commerce platform pushes advertisements to the user terminal is obtained, wherein the user terminal is pushed as advertisements by the e-commerce platform to the real-time browsing user terminal to push the historical purchase information of the user terminal, such as the purchase time, etc., and the key information is represented by the user identity information and geographic location information in the user terminal, and the non-key information is represented by the purchase time point or the purchase number; and the data volume ratio of the key information and non-key information of the user terminal purchased when the e-commerce platform pushes advertisements to the user terminal is marked as WBZ;

[0045] The above collected information is marked as security supervision information, and substituted into the formula to obtain the data security supervision analysis coefficient AJ when the e-commerce platform establishes communication with the user terminal, where the formula is:

[0046] Among them, Fgb1, Fgb2 and Fgb3 are respectively the preset proportional coefficients of the browsing page data update jump frequency, the encrypted storage time of the background browsing traces and the data volume ratio of the key information and the non-key information, e is a natural constant, and α is an error correction factor with a value of 0.98; t is the cumulative browsing time of the user terminal in the e-commerce platform. As the time increases, the data volume increases, and a large cardinality is prone to data recognition anomalies, such as deviations in the recognition of key information and non-key information, or deviations in the retention time of browsing traces. Adding browsing time in the coefficient acquisition process can reduce the error caused by the increase in data volume according to the influence of browsing time;

[0047] Compare the data security supervision analysis coefficient AJ with the data security supervision analysis coefficient threshold when the e-commerce platform establishes communication with the user terminal:

[0048] If the data security supervision analysis coefficient AJ exceeds the data security supervision analysis coefficient threshold when the e-commerce platform establishes communication with the user terminal, it is inferred that the security supervision analysis is abnormal during the current communication connection between the e-commerce platform and the user terminal, and a security supervision abnormality signal is generated and sent to the data security server. After receiving the security supervision abnormality signal, the data security server sends a data management instruction to the distributed database to perform data management on the distributed database, specifically taking the data of the user terminal and the e-commerce platform itself as the management object, avoiding the leakage of the key information or identity information of the user terminal in the e-commerce platform, and also controlling the non-authorized browsing of various transaction information in the e-commerce platform, thereby reducing the data storage security of the e-commerce platform;

[0049] If the data security supervision analysis coefficient AJ does not exceed the data security supervision analysis coefficient threshold when the e-commerce platform establishes communication with the user terminal, it is inferred that the security supervision analysis is normal during the current communication connection between the e-commerce platform and the user terminal, and a normal security supervision signal is generated and sent to the data security server;

[0050] Then, a load balancing signal is generated and sent to the load balancing unit. After receiving the load balancing signal, the load balancing unit performs load balancing control on the communication stage between the e-commerce platform and the user terminal. Through load balancing control, the e-commerce platform and the user terminal can operate properly as the number of bursts increases during the communication stage. At the same time, it ensures that each user terminal can balance data resources when browsing the e-commerce platform at the same time, avoiding the deviation of browsing data of the user terminal, resulting in excessive deviation of data output of each data center, so that the storage space utilization of the distributed database is uneven. Through load balancing, data storage management and control can be effectively carried out to ensure full utilization of storage resources.

[0051] Mark the communication phase between the e-commerce platform and the user terminal as the data output period, obtain the maximum cumulative time span value at any time corresponding to the time when the e-commerce platform displays data update speed and the time when the user terminal browses the data storage space and occupies the time during the data output period when the data burst volume increases, and mark the maximum cumulative time span value at any time corresponding to the time when the e-commerce platform displays data update speed and the time when the user terminal browses the data storage space and occupies the time during the data burst volume increases as platform data information, wherein the display data is represented by the display interface or product advertising information in the e-commerce platform, and the browsing data is represented by the browsing traces and historical product inquiry data of the user terminal when visiting the e-commerce platform;

[0052] The deviation value ratio of the maximum deviation value of the real-time storage volume of the distributed storage data corresponding to each user terminal to the minimum deviation value of the storage volume floating speed when the data burst volume increases during the data output period is obtained, and the deviation value ratio of the maximum deviation value of the real-time storage volume of the distributed storage data corresponding to each user terminal to the minimum deviation value of the storage volume floating speed when the data burst volume increases during the data output period is marked as platform storage information, and compared with the deviation value ratio threshold and the maximum cumulative time span threshold at any time respectively:

[0053] If the maximum cumulative time span value at any time corresponding to the accelerated time of the e-commerce platform display data update speed and the accelerated time of the user terminal browsing data storage space occupation speed during the data output period exceeds the maximum cumulative time span value threshold at any time, or the deviation value ratio corresponding to the maximum deviation value of the real-time storage volume of the distributed storage data of each user terminal and the minimum deviation value of the storage volume floating speed when the data burst volume increases during the data output period exceeds the deviation value ratio threshold, then it is determined that the load balancing analysis during the data output period is abnormal, and a balancing control signal is generated and sent to the data security server. After receiving the balancing control signal, the data security server sends a load control instruction to the distributed database, and meets the access needs of each access terminal in the data center at each time, so as to avoid a large number of access terminals for the same access information causing successful access and unsuccessful access by access terminals for the same access information at the same time, resulting in an increase in the deviation of the data output volume of the data center;

[0054] If the maximum cumulative time span value at any time corresponding to the accelerated time of updating the data displayed by the e-commerce platform and the accelerated time of occupying the storage space for browsing data by the user terminal during the process of increasing data burst during the data output period does not exceed the maximum cumulative time span value threshold at any time, and the deviation value ratio corresponding to the maximum deviation value of the real-time storage volume of the distributed storage data corresponding to each user terminal and the minimum deviation value of the storage volume floating speed when the data burst increases during the data output period does not exceed the deviation value ratio threshold, then it is determined that the load balancing analysis during the data output period is normal, and a load balancing signal is generated and sent to the data security server;

[0055] After completing security supervision and load balancing at the same time, a data control signal is generated and sent to the data control unit. After receiving the data control signal, the data control unit performs data control on the communication stage between the e-commerce platform and the user terminal to ensure data storage security and the operating efficiency of the e-commerce platform. According to real-time demand analysis, the data in the data center is backed up in time to ensure that the data backup can meet the needs of data loss and retrieval, and avoid the large impact of data backup lag causing the retrieved data to not match the current lost data;

[0056] The data output period is divided into several time points, and the data output in the time span of adjacent time points does not exceed the set data volume threshold. Each time point is analyzed to obtain the data burst volume growth floating span value of each time point relative to the previous time point, and the time point type is divided according to the comparison of the data burst volume floating span value threshold. Specifically, if the data burst volume growth floating span value threshold exceeds the growth span value threshold, the current time point is marked as the burst moment. On the contrary, if the data burst volume growth floating span value threshold does not exceed the growth span value threshold, the current time point is marked as the non-burst moment.

[0057] Analyze the burst moment and the non-burst moment, and obtain the floating span value of the data burst amount reduction corresponding to the current moment relative to the next moment. If the floating span value of the data burst amount reduction at the current moment exceeds the reduced span value threshold, then when the current moment is the burst moment, the corresponding burst moment is marked as a large-scale data moment; when the current moment is the non-burst moment, the previous moment point of the corresponding non-burst moment is marked as a large-scale data moment;

[0058] If the floating span value of the current data burst volume does not exceed the span value reduction threshold, the span value reduction threshold sets the minimum data volume. When this happens, it indicates that the data span is increased; if the current moment is a non-burst moment or a burst moment, the corresponding moment will be uniformly marked as a large-range data moment;

[0059] By analyzing the large-scale data moments, it can be understood that the large-scale moment corresponds to a high data burst at the current moment and a low subsequent burst. Therefore, when backing up data at this moment, the data range is large. Using this type of moment as the backup moment for the corresponding time period can minimize the impact of data loss.

[0060] The floating deviation value of the data transmission speed of the same user terminal when each large-scale data moment corresponds to the data burst growth stage, and the duration during which the data transmission speeds of different user terminals are constant and cannot fluctuate are obtained, and the floating deviation value of the data transmission speed of the same user terminal when each large-scale data moment corresponds to the data burst growth stage, and the duration during which the data transmission speeds of different user terminals are constant and cannot fluctuate are compared with the floating deviation value threshold and the duration threshold respectively:

[0061] If the floating deviation value of the data transmission speed of the same user terminal when the large-scale data moment corresponds to the data burst growth stage exceeds the floating deviation value threshold, or the continuous length of time during which the corresponding data transmission speeds of different user terminals are constant and cannot float does not exceed the continuous length threshold, the corresponding large-scale data moment will not be used as the backup moment; if the floating deviation value of the data transmission speed of the same user terminal when the large-scale data moment corresponds to the data burst growth stage does not exceed the floating deviation value threshold, and the continuous length of time during which the corresponding data transmission speeds of different user terminals are constant and cannot float exceeds the continuous length threshold, the corresponding large-scale data moment will be used as the backup moment;

[0062] The backup time is sent to the data security server. After receiving the backup time, the data security server will mirror the output data corresponding to the backup time during the data output period, and the backup time will be continued until the next backup time occurs and the backup is completed.

[0063] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0064] When the present invention is in use, the security supervision unit performs security monitoring on the public network exit within the e-commerce platform, and performs security protection inside the data center, collects security supervision information, substitutes it into the formula to obtain the data security supervision analysis coefficient, and infers whether the security supervision analysis is normal based on the coefficient comparison; the load balancing unit performs load balancing control on the communication stage between the e-commerce platform and the user terminal, marks the communication stage between the e-commerce platform and the user terminal as the data output period, obtains platform data information and platform storage information, and infers whether the current load is balanced based on the information comparison; after completing security supervision and load balancing, the data control unit performs data control on the communication stage between the e-commerce platform and the user terminal.

[0065] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A platform network data security storage system for an e-commerce platform, characterized in that: Including an e-commerce platform, wherein the e-commerce platform is matched with a secure storage system, a distributed database in the secure storage system is connected to a data security server of the secure storage system as a hub, and the data security server is connected to a security supervision unit, a load balancing unit and a data control unit; The security supervision unit conducts security monitoring on the public network exit of the e-commerce platform and performs security protection inside the data center. It collects security supervision information, substitutes it into the formula to obtain the data security supervision analysis coefficient, and infers whether the security supervision analysis is normal based on the coefficient comparison; The load balancing unit performs load balancing control on the communication stage between the e-commerce platform and the user terminal, marks the communication stage between the e-commerce platform and the user terminal as the data output period, obtains the platform data information and platform storage information, and infers whether the current load is balanced based on information comparison; After completing security supervision and load balancing, the data control unit performs data control on the communication stage between the e-commerce platform and the user terminal; the data control process is as follows: The data output period is divided into several time points, and the data output within the time span of adjacent time points does not exceed the set data volume threshold. Each time point is analyzed to obtain the floating span value of the data burst volume growth at each time point relative to the previous time point, and the time point type is divided into burst time and non-burst time according to the comparison of the data burst volume floating span value threshold; the burst time and non-burst time are analyzed, and the large-scale data time is obtained according to the analysis; the large-scale data time is analyzed and the backup time is obtained, and the backup time is sent to the data security server. After the data security server receives the backup time, the output data corresponding to the backup time is mirrored in the data output period, and the backup time is until the next backup time appears and the backup is completed; the large-scale time corresponds to a high data burst volume at the current time and a low subsequent burst volume; If the floating span value of the data burst volume growth exceeds the growth span value threshold, the current time point is marked as the burst time; otherwise, if the floating span value of the data burst volume growth does not exceed the growth span value threshold, the current time point is marked as the non-burst time; Obtain the floating deviation value of the data transmission speed of the same user terminal when the data burst growth stage corresponds to each large-scale data moment, and the duration of the constant and non-floating data transmission speed of different user terminals: If the floating deviation value of the data transmission speed of the same user terminal when the large-scale data moment corresponds to the data burst growth stage exceeds the floating deviation value threshold, or the continuous duration that the corresponding data transmission speeds of different user terminals are constant and cannot float does not exceed the continuous duration threshold, the corresponding large-scale data moment will not be used as the backup moment; if the floating deviation value of the data transmission speed of the same user terminal when the large-scale data moment corresponds to the data burst growth stage does not exceed the floating deviation value threshold, and the continuous duration that the corresponding data transmission speeds of different user terminals are constant and cannot float exceeds the continuous duration threshold, the corresponding large-scale data moment will be used as the backup moment.

2. The platform network data security storage system for an e-commerce platform according to claim 1 is characterized in that: The security supervision information includes the frequency of data updates and jumps of the browsing pages of the current user terminal in the e-commerce platform during the stage of sending the digital certificate of the user terminal when the user terminal establishes a connection with the e-commerce platform, the encrypted storage duration of the browsing traces in the background of the e-commerce platform corresponding to the key information entered when the user terminal verifies its identity, and the data volume ratio of the key information and non-key information purchased by the user terminal when the e-commerce platform pushes advertisements to the user terminal, and the labels GXT, CUX, and WBZ are set respectively.

3. The platform network data security storage system for an e-commerce platform according to claim 2 is characterized in that: The formula is: , where Fgb1, Fgb2 and Fgb3 are preset proportional coefficients, e is a natural constant, and α is an error correction factor with a value of 0.98; t is the cumulative browsing time of the user terminal in the e-commerce platform.

4. The platform network data security storage system for an e-commerce platform according to claim 1, characterized in that: If the data security supervision analysis coefficient exceeds the data security supervision analysis coefficient threshold, the security supervision analysis is abnormal and a security supervision abnormal signal is generated; if the data security supervision analysis coefficient does not exceed the data security supervision analysis coefficient threshold, the security supervision analysis is normal and a security supervision normal signal is generated.

5. The platform network data security storage system for an e-commerce platform according to claim 1, characterized in that: The platform data information and platform storage information respectively include the maximum cumulative duration span value at any time corresponding to the duration of accelerated update speed of e-commerce platform display data and the duration of accelerated occupancy speed of user terminal browsing data storage space during the process of increased data burst during the data output period, and the deviation value ratio corresponding to the maximum deviation value of the real-time storage capacity of distributed storage data corresponding to each user terminal and the minimum deviation value of the storage capacity floating speed when the data burst increases during the data output period.

6. The platform network data security storage system for an e-commerce platform according to claim 5, characterized in that: If the platform data information exceeds the maximum cumulative time span value threshold at any time, or the platform storage information exceeds the deviation value ratio threshold, the load balancing analysis during the data output period is determined to be abnormal, and a balancing control signal is generated; If the platform data information does not exceed the maximum cumulative duration span value threshold at any time, and the platform storage information does not exceed the deviation value ratio threshold, it is determined that the load balancing analysis during the data output period is normal and a load balancing signal is generated.

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