CN115701021A - Block chain network monitoring method and platform - Google Patents
Block chain network monitoring method and platform Download PDFInfo
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Abstract
The application discloses a block chain network monitoring method and a block chain network monitoring platform, and belongs to the technical field of block chains. The method comprises the following steps: monitoring the block chain network according to a preset monitoring dimension to obtain monitoring data; acquiring the safety state of the block chain network according to the monitoring data; judging whether the safety state of the block chain network meets a preset early warning condition or not; and locking the limited function corresponding to the early warning condition in the block chain network under the condition that the safety state of the block chain network is determined to meet the early warning condition. According to the method, the monitoring data of the block chain network are acquired from a plurality of monitoring dimensions, and the block chain network can be monitored in multiple directions, so that the operation condition of the block chain network can be timely and accurately acquired, measures such as locking limited functions and the like can be timely taken when the safety state of the block chain network meets preset early warning conditions, and the safe operation of the block chain network is guaranteed.
Description
Technical Field
The present application relates to the field of blockchain technologies, and in particular, to a method and a platform for monitoring a blockchain network.
Background
The block chain technology has the characteristics of decentralization, no tampering, trace remaining in the whole process, traceability, collective maintenance, openness and transparency and the like, and can ensure the safety of data, so that the block chain network based on the block chain technology is widely applied to a plurality of fields. When the traditional monitoring platform monitors the block chain network, the acquired monitoring information is limited, and the operation state of the block chain network cannot be effectively monitored in multiple directions, so that the block chain network cannot be guaranteed to keep safe operation.
Disclosure of Invention
Therefore, the method and the platform for monitoring the block chain network are provided to solve the problem that the block chain network cannot be effectively monitored in multiple directions, so that the safe operation of the block chain network cannot be guaranteed.
In order to achieve the above object, a first aspect of the present application provides a method for monitoring a blockchain network, the method including:
monitoring the block chain network according to a preset monitoring dimension to obtain monitoring data;
acquiring the safety state of the block chain network according to the monitoring data;
judging whether the safety state of the block chain network meets a preset early warning condition or not;
and locking the limited function corresponding to the early warning condition in the block chain network under the condition that the safety state of the block chain network is determined to meet the early warning condition.
Further, the monitoring dimension includes any one or more of a start-stop dimension, an operation dimension, a node dimension, a user dimension, and a transaction dimension of the blockchain network, and the monitoring data includes any one or more of start-stop state information, operation state information, node information, user information, and transaction information of the blockchain network.
Further, the acquiring the security state of the blockchain network according to the monitoring data includes:
analyzing the monitoring data to obtain the operation information of the block chain network;
and determining the safety state of the block chain network according to the operation information of the block chain network.
Further, the number of the early warning conditions is one or more, and different early warning conditions have different early warning levels;
the judging whether the safety state of the block chain network meets the preset early warning condition comprises the following steps:
comparing the early warning conditions with the safety states of the block chain networks one by one to obtain comparison results;
determining the early warning condition matched with the safety state of the block chain network according to the comparison result;
determining an early warning level of the early warning condition.
Further, the locking the limited function corresponding to the early warning condition in the blockchain network under the condition that the safety state of the blockchain network is determined to meet the early warning condition includes:
determining a locking range according to the early warning level of the early warning condition;
determining the limited function of the block chain network to be locked according to the locking range;
locking restricted functionality of the blockchain network.
Further, after the limited function corresponding to the warning condition in the blockchain network is locked when it is determined that the security state of the blockchain network satisfies the warning condition, the method further includes:
generating a safety early warning message according to the early warning condition;
and sending the safety early warning message to an administrator terminal of the block chain network.
Further, the generating a safety warning message according to the warning condition includes:
and generating the safety early warning message matched with the early warning level according to the early warning level of the early warning condition.
Further, the monitoring the blockchain network according to the preset monitoring dimension, after obtaining the monitoring data, further includes:
and displaying the monitoring data according to a preset requirement.
Further, after the monitoring data is displayed according to the preset requirement, the method further includes:
responding to a query request of a user, and acquiring monitoring data conforming to the query request;
and displaying the monitoring data which accords with the query request.
In order to achieve the above object, a second aspect of the present application provides a blockchain network monitoring platform, including:
the monitoring module is used for monitoring the block chain network according to a preset monitoring dimension to obtain monitoring data;
the acquisition module is used for acquiring the safety state of the block chain network according to the monitoring data;
the judging module is used for judging whether the safety state of the block chain network meets a preset early warning condition or not;
and the locking module is used for locking the limited function corresponding to the early warning condition in the block chain network under the condition that the safety state of the block chain network is determined to meet the early warning condition.
This application has following advantage:
the block chain network monitoring method provided by the application acquires the monitoring data of the block chain network from a plurality of monitoring dimensions, and can monitor the block chain network in multiple directions, so that the operation condition of the block chain network can be timely and accurately acquired, measures such as locking limited functions can be timely taken when the safety state of the block chain network does not meet preset conditions, and the safe operation of the block chain network is guaranteed.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application and not to limit the application.
Fig. 1 is a schematic view of an application scenario of a block chain network monitoring method according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for monitoring a blockchain network according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for monitoring a blockchain network according to a second embodiment of the present application;
fig. 4 is a flowchart of a method for locking a network restricted function of a blockchain according to a third embodiment of the present application;
fig. 5 is a block diagram of a block chain network monitoring platform according to a fourth embodiment of the present disclosure.
In the drawings:
101: the administrator terminal 102: block chain network monitoring platform
103: block chain network 501: monitoring module
502: the obtaining module 503: judging module
504: locking module
Detailed Description
The following detailed description of embodiments of the present application will be made with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present application, are given by way of illustration and explanation only, and are not intended to limit the present application.
In the technical scheme of the disclosure, the acquisition, storage, application and the like of the personal information of the related user all accord with the regulations of related laws and regulations, and do not violate the good customs of the public order.
Fig. 1 is a schematic application scenario diagram of a block chain network monitoring method according to an embodiment of the present disclosure.
As shown in fig. 1, in the application scenario, an administrator terminal 101 is connected to a blockchain network monitoring platform 102, the blockchain network monitoring platform 102 is connected to a blockchain network 103 to be monitored, and the blockchain network monitoring platform 102 monitors the blockchain network 103 by using any one of the blockchain network monitoring methods disclosed in the embodiments of the present application. The administrator terminal 101 includes, but is not limited to, a smart phone, a tablet computer, a car computer, a laptop portable computer, and a desktop computer.
In some embodiments, when the blockchain network monitoring platform 102 obtains the security state of the blockchain network according to the monitoring data and determines that the security state meets the preset early warning condition, the blockchain network monitoring platform 102 locks the limited function corresponding to the early warning condition and sends a security early warning message to the administrator terminal 101.
It should be noted that the administrator terminal 101 and the blockchain network monitoring platform 102 may establish a connection in a wired communication manner or a wireless communication manner, and the blockchain network monitoring platform 102 and the blockchain network 103 may also establish a connection in a wired communication manner or a wireless communication manner.
A first aspect of the present application provides a method for monitoring a blockchain network. Fig. 2 is a flowchart of a method for monitoring a blockchain network according to an embodiment of the present invention. As shown in fig. 2, the method for monitoring a blockchain network includes the following steps:
step S201, monitoring the block chain network according to a preset monitoring dimension to obtain monitoring data.
The preset monitoring dimension comprises any one or more of a start-stop dimension, an operation dimension, a node dimension, a user dimension and a transaction dimension of the block chain network, corresponds to the monitoring dimension, and the monitoring data comprises any one or more of start-stop state information, operation state information, node information, user information and transaction information of the block chain network.
In some embodiments, to refine the monitoring granularity, a plurality of monitoring sub-dimensions are set in each monitoring dimension, and each monitoring sub-dimension corresponds to a plurality of working parameters (the working parameters are monitored data, such as start-stop states). For example, a transaction quantity sub-dimension and a transaction delay sub-dimension are set in the transaction dimension, the transaction quantity sub-dimension corresponds to working parameters such as the total transaction quantity and the node transaction quantity, and the transaction delay sub-dimension corresponds to working parameters such as the total transaction delay time and the node delay time.
It should be noted that the monitoring dimensions are only examples, and may be specifically set according to actual needs, and other monitoring dimensions not described are also within the protection scope of the present application, and are not described herein again.
And step S202, acquiring the safety state of the block chain network according to the monitoring data.
The safety state is information reflecting the safety degree of the blockchain network. In some embodiments, the security states include multiple types, e.g., a communication security state, a power security state, and the like.
In some embodiments, each security state includes a plurality of security levels. For example, the security state includes a first security level, a second security level, and a third security level, and the first security level has the highest security level and the third security level has the lowest security level. In other embodiments, the safety state may be represented in numerical form. For example, the value range of the security state is set to include 1 to 100, and when the value of the security state is higher, the higher the security procedure of the blockchain network is.
In some embodiments, the monitoring data is analyzed to obtain operation information of the blockchain network, and then the security state of the blockchain network is determined according to the operation information of the blockchain network.
The communication security state is taken as an example for explanation. And when the blockchain network is judged to be in the starting state according to the monitoring data and all the communication related working parameters are in the normal value range, determining that the communication operation information of the blockchain network is in the normal operation state, and further judging that the communication safety state of the blockchain network is the first safety level.
It should be noted that after the monitoring data is obtained, the monitoring data may be analyzed according to any one or more of experience, statistical data, and a preset threshold range (e.g., a working parameter value range), so as to determine the operation information of the blockchain network.
Step S203, determining whether the security state of the blockchain network meets a preset early warning condition.
In some embodiments, a corresponding relation between the security state and the early warning condition is preset, and whether the security state of the blockchain network meets the early warning condition is judged according to the corresponding relation.
For example, the security status of the blockchain network includes a first security level, a second security level, a third security level, and a fourth security level, and the security level of the first security level is the highest, and so on, the security level of the fourth security level is the lowest. And when the preset safety state is lower than the third safety level, the early warning condition is met. Therefore, when the safety state is the first safety level, the second safety level or the third safety level, the early warning condition is determined not to be met; and when the safety state is the fourth safety level, determining that the early warning condition is met.
For another example, the value range of the safety state of the block chain network is 1-100, and when the value of the safety state is lower than 60, the early warning condition is met. Therefore, under the condition that the value of the safety state is more than or equal to 60 and less than or equal to 100, the early warning condition is determined not to be met; and determining that the early warning condition is met under the condition that the value of the safety state is less than 60.
It should be noted that the above corresponding relationship between the safety state and the early warning condition is only an example, and may be specifically set according to actual needs, and the corresponding relationship between other unexplained safety states and the early warning condition is also within the protection scope of the present application, and is not described herein again.
And step S204, locking the limited function corresponding to the early warning condition in the block chain network under the condition that the safety state of the block chain network is determined to meet the early warning condition.
Wherein the restricted function is a function subject to restricted management in the blockchain network. In practical applications, the blockchain network includes a variety of functions. For whether the functionality is limited, the functionality of the blockchain network can be divided into two categories: the first type is unrestricted and the second type is restricted. The unrestricted function generally refers to a function which has a small influence on the security of the blockchain network, and the part of functions does not need to be subjected to restrictive management; the limited function is generally a function which has a great influence on the safety of the blockchain network, and the limited function needs to be subjected to limited management so as to take relevant measures in time when special conditions occur, thereby reducing fault range and loss.
The early warning condition and the limited function have a corresponding relation. In some embodiments, different limited functions are set for different types of pre-warning conditions. And under the condition that the early warning condition has different early warning levels, different limited functions are set aiming at different early warning levels of the same early warning condition. And under the condition that the safety state of the block chain network is determined to meet the early warning condition, automatically locking the limited function corresponding to the early warning condition in the block chain network, thereby controlling the fault in a smaller range as much as possible and controlling the fault level in a lower degree.
It should be noted that, in some embodiments, in order to improve monitoring experience, after the monitoring data is obtained, the monitoring data may be displayed according to a preset requirement, so that monitoring personnel can visually and conveniently check the monitoring data. The monitoring data may be displayed through various display devices, which is not limited in this application.
In addition, under the condition that the monitoring personnel have query requirements, the monitoring personnel can send out query requests, and carry parameters such as query time ranges, data types and the like in the query requests, so that monitoring data which accord with the query requests are obtained, the monitoring data which accord with the query requests are checked through the display equipment, and the individualized monitoring requirements of the monitoring personnel are met.
The method for monitoring the blockchain network provided by this embodiment acquires the monitoring data of the blockchain network from a plurality of monitoring dimensions, and can perform multi-directional monitoring on the blockchain network, so that the operation condition of the blockchain network can be timely and accurately acquired, and when the safety state of the blockchain network meets the preset early warning condition, measures such as locking a limited function are timely taken, thereby ensuring the safe operation of the blockchain network.
Fig. 3 is a flowchart of a method for monitoring a blockchain network according to a second embodiment of the present invention. As shown in fig. 3, the method for monitoring a blockchain network includes the following steps:
step S301, monitoring the block chain network according to a preset monitoring dimension to obtain monitoring data.
And step S302, acquiring the safety state of the block chain network according to the monitoring data.
Step S303, judging whether the safety state of the block chain network meets a preset early warning condition.
And step S304, locking the limited function corresponding to the early warning condition in the block chain network under the condition that the safety state of the block chain network is determined to meet the early warning condition.
Steps S301 to S304 in this embodiment are the same as steps S201 to S204 in the first embodiment of this application, and are not described herein again.
And step S305, generating a safety early warning message according to the early warning condition.
The safety early warning message comprises early warning content, early warning level and other information.
In some embodiments, the number of pre-alarm conditions is one or more, and different pre-alarm conditions have different pre-alarm levels. And under the condition that the safety state of the block chain network is determined to meet the early warning condition, generating a safety early warning message matched with the early warning level according to the early warning level of the early warning condition.
For example, the warning condition includes a communication warning condition and a power warning condition, wherein the warning level of the communication warning condition includes a primary communication warning level, a secondary communication warning level and a tertiary communication warning level. When the early warning condition is a secondary communication early warning level, the corresponding safety early warning message comprises early warning content and is communication early warning, and the early warning level is a secondary level.
And step S306, sending the safety early warning message to an administrator terminal of the block chain network.
Under the condition that the safety state of the block chain network meets the early warning condition, in order to avoid the situation that an administrator cannot timely know the early warning condition due to reasons such as being not at a station and the like, a safety early warning message is sent to an administrator terminal, so that the administrator can timely acquire the early warning condition of the block chain network, and further take more professional and perfect processing measures.
Fig. 4 is a flowchart of a method for locking a network limited function of a blockchain according to a third embodiment of the present application. As shown in fig. 4, the method for locking a blockchain network limited function includes the following steps:
step S401, comparing the early warning conditions with the safety states of the block chain networks one by one to obtain comparison results.
The number of the early warning conditions is one or more, and different early warning conditions have different early warning levels.
In some embodiments, the pre-warning conditions are associated with types and levels of security states, different types of security states correspond to different types of pre-warning conditions, and when the same type of security state has different security levels, the corresponding pre-warning conditions also have different pre-warning levels. And comparing the early warning conditions with the safety states of the block chain networks one by one to obtain a comparison result.
And step S402, determining an early warning condition matched with the safety state of the block chain network according to the comparison result.
According to the comparison result, which types of safety states meet the early warning condition and which types of safety states do not meet the early warning condition can be determined.
Step S403, determining an early warning level of the early warning condition.
Wherein the pre-warning level may reflect the urgency or severity of the pre-warning.
And S404, determining a locking range according to the early warning level of the early warning condition.
Wherein, the locking range refers to the range of the area needing to be locked with limited functions.
Aiming at the early warning levels with different levels, the processing measures to be adopted are different, and therefore the corresponding locking ranges are also different. By formulating different locking ranges, the influence on the normal working area in the blockchain network can be reduced as much as possible while solving the fault.
In some embodiments, the corresponding relationship between the early warning level and the locking range is preset, and after the early warning level is determined, the locking range is determined according to the corresponding relationship.
For example, when an early warning is issued for a communication function of a blockchain network, when the early warning level is high, the locking range is determined as the entire blockchain network, and when the early warning level is low, the locking range is determined as a fault area.
Step S405, according to the locking range, determining the limited function of the block chain network to be locked.
In some embodiments, for a communication function of a blockchain network, when a locking range is the whole blockchain network, locking an external communication function of the whole blockchain network; and when the locking range is the fault area, only locking the external communication function of the fault area.
And step S406, locking the limited function of the block chain network.
For example, the safety state includes a communication safety state and a power safety state. The communication security state comprises a first communication security level, a second communication security level, a third communication security level and a fourth communication security level, the first communication security level has the highest security degree, and the fourth communication security level has the lowest security degree; the power safety state comprises a first power safety level, a second power safety level and a third power safety level, the safety degree of the first power safety level is the highest, and the safety degree of the third power safety level is the lowest.
Correspondingly, the early warning condition comprises a communication early warning condition and a power early warning condition. The communication early warning level comprises a first communication early warning level, a second communication early warning level and a third communication early warning level, and the first communication early warning level belongs to the highest level (namely the first communication early warning level corresponds to the most dangerous or serious communication safety state); the early warning levels of the power early warning condition include a first power early warning level and a second power early warning level, and the first power early warning level belongs to the highest level (i.e., the first power early warning level corresponds to the most dangerous or severe power safety state).
Supposing that the communication early warning condition is met when the communication security level is lower than the first communication security level, the second communication security level corresponds to the third communication early warning level, and so on, the fourth communication security level corresponds to the first communication early warning condition; and when the power safety level is lower than the first power safety level, the power early warning condition is met, the second power safety level corresponds to the second power early warning level, and the third power safety level corresponds to the first power early warning level. Moreover, the communication security state of the blockchain network is a third communication security level, and the power security state is a first power security level.
And comparing the early warning conditions with the safety states one by one. Specifically, for communication safety, the block chain network corresponds to a third communication safety level, and accords with a communication early warning condition, and the corresponding communication early warning level is a second communication early warning level; aiming at electric power safety, the block chain network corresponds to a first electric power safety level, does not meet electric power early warning conditions, and does not need electric power early warning.
Further, the first communication early warning level corresponds to the most dangerous and serious communication fault, and the corresponding locking range is the whole block chain network. And communication faults corresponding to the second communication early warning level belong to dangerous and serious faults, and the corresponding locking range comprises a fault position and an area which is less than a preset threshold value from the fault position. And the communication fault corresponding to the third communication early warning level is light, and the corresponding locking range comprises a fault position.
Therefore, under the condition that the communication early warning level is the second communication early warning level, the external communication function of the area, in which the fault position and the distance between the fault position in the block chain network are smaller than the preset threshold value, is locked, so that further expansion and aggravation of the fault are avoided.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
A second aspect of the present application provides a block chain network monitoring platform. Fig. 5 is a block diagram of a block chain network monitoring platform according to a fourth embodiment of the present disclosure. As shown in fig. 5, the block chain network monitoring platform includes:
the monitoring module 501 is configured to monitor the block chain network according to a preset monitoring dimension to obtain monitoring data.
The preset monitoring dimension comprises any one or more of a start-stop dimension, an operation dimension, a node dimension, a user dimension and a transaction dimension of the block chain network, corresponds to the monitoring dimension, and the monitoring data comprises any one or more of start-stop state information, operation state information, node information, user information and transaction information of the block chain network.
In some embodiments, to refine the monitoring granularity, a plurality of monitoring sub-dimensions are set in each monitoring dimension, and each monitoring sub-dimension corresponds to a plurality of working parameters (the working parameters are monitored data, such as start-stop states). For example, a transaction quantity sub-dimension and a transaction delay sub-dimension are set in the transaction dimension, the transaction quantity sub-dimension corresponds to working parameters such as the total transaction quantity and the node transaction quantity, and the transaction delay sub-dimension corresponds to working parameters such as the total transaction delay time and the node delay time.
It should be noted that the monitoring dimensions are only examples, and may be specifically set according to actual needs, and other monitoring dimensions not described are also within the protection scope of the present application, and are not described herein again.
It should be noted that, in practical applications, for different monitoring dimensions, monitoring units corresponding to the monitoring dimensions may be arranged in the monitoring module 501, and the monitoring units operate relatively independently and in parallel. Under the condition that any monitoring unit stops working due to faults or other reasons, the working states of other monitoring units are not influenced, and therefore the stability of the block chain network monitoring platform is improved.
An obtaining module 502, configured to obtain a security state of the blockchain network according to the monitoring data.
The safety state is information reflecting the safety degree of the blockchain network. In some embodiments, the security states include multiple types, e.g., a communication security state, a power security state, and the like.
In some embodiments, each security state includes a plurality of security levels. For example, the security status includes a first security level, a second security level, and a third security level, and the first security level has the highest security level and the third security level has the lowest security level. In other embodiments, the safety state may be represented in numerical form. For example, the value range of the security state is set to include 1 to 100, and when the value of the security state is higher, the higher the security procedure of the blockchain network is.
In some embodiments, the obtaining module 502 analyzes the monitoring data to obtain the operation information of the blockchain network, and then determines the security status of the blockchain network according to the operation information of the blockchain network.
The communication security state is taken as an example for explanation. And when the blockchain network is judged to be in the starting state according to the monitoring data and all the communication related working parameters are in the normal value range, determining that the communication operation information of the blockchain network is in the normal operation state, and further judging that the communication safety state of the blockchain network is the first safety level.
It should be noted that after the monitoring data is obtained, the monitoring data may be analyzed according to any one or more of experience, statistical data, and a preset threshold range (e.g., a working parameter value range), so as to determine the operation information of the blockchain network.
The determining module 503 is configured to determine whether the security state of the blockchain network meets a preset early warning condition.
In some embodiments, the corresponding relationship between the security state and the early warning condition is preset, and the determining module 503 determines whether the security state of the blockchain network satisfies the early warning condition according to the corresponding relationship.
For example, the security status of the blockchain network includes a first security level, a second security level, a third security level, and a fourth security level, and the security level of the first security level is the highest, and so on, the security level of the fourth security level is the lowest. And when the preset safety state is lower than the third safety level, the early warning condition is met. Therefore, when the safety state is the first safety level, the second safety level or the third safety level, the early warning condition is determined not to be met; and when the safety state is the fourth safety level, determining that the early warning condition is met.
For another example, the value range of the safety state of the block chain network is 1 to 100, and when the value of the safety state is lower than 60, the early warning condition is met. Therefore, under the condition that the value of the safety state is more than or equal to 60 and less than or equal to 100, the early warning condition is determined not to be met; and determining that the early warning condition is met under the condition that the value of the safety state is less than 60.
It should be noted that the above corresponding relationship between the safety state and the early warning condition is only an example, and may be specifically set according to actual needs, and the corresponding relationship between other unexplained safety states and the early warning condition is also within the protection scope of the present application, and is not described herein again.
And a locking module 504, configured to lock a limited function in the blockchain network corresponding to the early warning condition when it is determined that the security state of the blockchain network meets the early warning condition.
Wherein the restricted function is a function subject to restricted management in the blockchain network. In practical applications, the blockchain network includes a variety of functions. The functionality of a blockchain network can be divided into two categories, whether or not the functionality is limited: the first type is unrestricted and the second type is restricted. The unrestricted function generally refers to a function which has a small influence on the security of the blockchain network, and the part of functions does not need to be subjected to restrictive management; the limited function is generally a function which has a great influence on the safety of the blockchain network, and the limited function needs to be subjected to limited management so as to take relevant measures in time when special conditions occur, thereby reducing the fault range and the loss.
The early warning condition and the limited function have a corresponding relation. In some embodiments, different limited functionality is set for different types of pre-alarm conditions. And in addition, under the condition that the early warning conditions have different early warning levels, different limited functions are set for different early warning levels of the same early warning condition. Under the condition that the safety state of the block chain network is determined to meet the early warning condition, the limited function corresponding to the early warning condition in the block chain network is automatically locked through the locking module 504, so that the fault is controlled in a smaller range as much as possible, and the fault level is controlled in a lower degree.
It should be noted that, in practical applications, the blockchain network monitoring platform may further include functional modules (not shown in fig. 5), such as a login module, a data entry module, and a data archive module. The login module provides a login function for a user, and different login authorities can be set for different users in specific implementation, so that the safety of the block chain network monitoring platform is guaranteed, and data is prevented from being stolen or tampered. The data entry module has a data entry function, and the entered data can be monitoring data or other data (for example, monitoring parameters, configuration parameters and the like). The data archive module may provide data backup functionality to restore data or provide backup data access services in the event that data is lost or inaccessible.
The block chain network monitoring platform provided by the embodiment acquires monitoring data of the block chain network from a plurality of monitoring dimensions based on the monitoring module, can monitor the block chain network in multiple directions, timely and accurately acquires the running condition of the block chain network through the acquisition module, so that when the safety state of the block chain network is judged to meet the preset early warning condition based on the judgment module, measures such as locking limited functions are timely taken through the locking module, and the safe running of the block chain network is ensured.
It should be noted that each module referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present application, a unit that is not so closely related to solving the technical problem proposed by the present application is not introduced in the present embodiment, but it does not indicate that no other unit exists in the present embodiment.
It is to be understood that the above embodiments are merely exemplary embodiments that are employed to illustrate the principles of the present application, and that the present application is not limited thereto. It will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the application, and these changes and modifications are to be considered as the scope of the application.
Claims (10)
1. A method for monitoring a blockchain network, comprising:
monitoring the block chain network according to a preset monitoring dimension to obtain monitoring data;
acquiring the safety state of the block chain network according to the monitoring data;
judging whether the safety state of the block chain network meets a preset early warning condition or not;
and locking the limited function corresponding to the early warning condition in the block chain network under the condition that the safety state of the block chain network is determined to meet the early warning condition.
2. The blockchain network monitoring method of claim 1, wherein the monitoring dimension includes any one or more of a start-stop dimension, an operation dimension, a node dimension, a user dimension, and a transaction dimension of a blockchain network, and the monitoring data includes any one or more of start-stop status information, operation status information, node information, user information, and transaction information of the blockchain network.
3. The method according to claim 1, wherein the obtaining the security status of the blockchain network according to the monitoring data comprises:
analyzing the monitoring data to obtain the operation information of the block chain network;
and determining the safety state of the block chain network according to the operation information of the block chain network.
4. The method of claim 1, wherein the number of warning conditions is one or more, and different warning conditions have different warning levels;
the judging whether the safety state of the block chain network meets the preset early warning condition includes:
comparing the early warning conditions with the safety states of the block chain networks one by one to obtain comparison results;
determining the early warning condition matched with the safety state of the block chain network according to the comparison result;
and determining the early warning level of the early warning condition.
5. The method as claimed in claim 4, wherein the locking the restricted function corresponding to the warning condition in the blockchain network if it is determined that the security status of the blockchain network satisfies the warning condition comprises:
determining a locking range according to the early warning level of the early warning condition;
determining the limited function of the block chain network to be locked according to the locking range;
locking restricted functionality of the blockchain network.
6. The method for monitoring a blockchain network according to claim 4 or 5, wherein after the locking the limited function corresponding to the warning condition in the blockchain network if it is determined that the security status of the blockchain network satisfies the warning condition, the method further comprises:
generating a safety early warning message according to the early warning condition;
and sending the safety early warning message to an administrator terminal of the block chain network.
7. The method of claim 6, wherein generating a safety warning message according to the warning condition comprises:
and generating the safety early warning message matched with the early warning level according to the early warning level of the early warning condition.
8. The method of claim 1, wherein the monitoring the blockchain network according to the preset monitoring dimension, and after obtaining the monitoring data, further comprises:
and displaying the monitoring data according to a preset requirement.
9. The method of claim 8, wherein after displaying the monitoring data according to a predetermined requirement, further comprising:
responding to a query request of a user, and acquiring monitoring data conforming to the query request;
and displaying the monitoring data which accords with the query request.
10. A blockchain network monitoring platform, comprising:
the monitoring module is used for monitoring the block chain network according to a preset monitoring dimension to obtain monitoring data;
the acquisition module is used for acquiring the safety state of the block chain network according to the monitoring data;
the judging module is used for judging whether the safety state of the block chain network meets a preset early warning condition or not;
and the locking module is used for locking the limited function corresponding to the early warning condition in the block chain network under the condition that the safety state of the block chain network is determined to meet the early warning condition.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109919762A (en) * | 2019-01-17 | 2019-06-21 | 平安城市建设科技(深圳)有限公司 | Reporting method, device, equipment and the storage medium of customer information |
| CN110493080A (en) * | 2019-08-19 | 2019-11-22 | 腾讯科技（深圳）有限公司 | A kind of block chain node monitoring method, device and electronic equipment and storage medium |
| CN110611579A (en) * | 2018-06-15 | 2019-12-24 | 普华云创科技(北京)有限公司 | Block chain-based equipment monitoring and early warning method, system, equipment and storage medium |
| CN111884878A (en) * | 2020-07-24 | 2020-11-03 | 樊馨 | Data monitoring method based on block chain |
| CN112053146A (en) * | 2020-08-24 | 2020-12-08 | 杭州云象网络技术有限公司 | Cross-chain reward and punishment method based on anonymous service and Hash locking |
-
2021
- 2021-07-15 CN CN202110799575.4A patent/CN115701021A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110611579A (en) * | 2018-06-15 | 2019-12-24 | 普华云创科技(北京)有限公司 | Block chain-based equipment monitoring and early warning method, system, equipment and storage medium |
| CN109919762A (en) * | 2019-01-17 | 2019-06-21 | 平安城市建设科技(深圳)有限公司 | Reporting method, device, equipment and the storage medium of customer information |
| CN110493080A (en) * | 2019-08-19 | 2019-11-22 | 腾讯科技（深圳）有限公司 | A kind of block chain node monitoring method, device and electronic equipment and storage medium |
| CN111884878A (en) * | 2020-07-24 | 2020-11-03 | 樊馨 | Data monitoring method based on block chain |
| CN112053146A (en) * | 2020-08-24 | 2020-12-08 | 杭州云象网络技术有限公司 | Cross-chain reward and punishment method based on anonymous service and Hash locking |
Non-Patent Citations (1)
| Title |
|---|
| 任昊文;杨雅琪;: "区块链分布式技术在电力需求侧响应管理中的应用", 电信科学, no. 05, 23 April 2019 (2019-04-23) * |
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