CN111651260A - Network detection task scheduling method and device based on block chain technology - Google Patents
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Abstract
The application discloses a network detection task scheduling method and device based on a block chain technology, wherein the network detection task is analyzed to obtain a task processing queue in response to the network detection task; then responding to the sending task processing queue to the block chain, and determining a detection point matched with the network detection task in the block chain; updating the task processing queue in response to receiving a verification result of a verification node in the block chain; the verification result comprises a verification result of verifying the execution result of the network detection task executed by the detection point by the verification node; and finally broadcasting the verified network detection task to the block link points. The technical problems that in the related art, the realization complexity of a centralized task scheduling mechanism is high, accurate optimal scheduling decisions are difficult to make, detection areas in an executed task are unevenly distributed, optimal detection points are difficult to select, and task execution is difficult to verify are solved.
Description
Technical Field
The present invention relates to the field of network probing technologies, and in particular, to a network probing task scheduling method and apparatus based on a block chain technology.
Background
The network detection is used for detecting resources in the network to acquire resource information in the network space, so that the network detection is beneficial to knowing the resource distribution and the network condition in the network space and has great significance for maintaining the security of the network space. Currently, network security is increasingly emphasized, and network detection systems are widely used in commerce. However, the implementation framework mainly collects state measurement through deployment area detection points, collects the state measurement to a central node and carries out analysis. The mode realizes effective global network security detection, and has large investment scale and high technical threshold.
Aiming at the problems that in the related art, the realization complexity of a centralized task scheduling mechanism is high, accurate optimal scheduling decision is difficult to make, detection areas in an executed task are unevenly distributed, optimal detection points are difficult to select, and task execution is difficult to verify, an effective solution is not provided at present.
Disclosure of Invention
The main objective of the present application is to provide a network probe task scheduling method based on a block chain technology, so as to solve the problems of uneven distribution of probe regions, difficulty in selecting optimal probe points, and difficulty in verifying task execution in an execution task due to high implementation complexity of a centralized task scheduling mechanism and difficulty in making an accurate optimal scheduling decision.
In order to achieve the above object, in a first aspect, the present application provides a network probe task scheduling method based on a block chain technique.
The network detection task scheduling method based on the block chain technology comprises the following steps: analyzing the network detection task to obtain a task processing queue in response to the network detection task; responding to a sending task processing queue to a block chain, and determining a detection point matched with the network detection task in the block chain; updating the task processing queue in response to receiving a verification result of a verification node in a block chain; the verification result comprises a verification result of verifying the execution result of the network detection task executed by the detection point by the verification node; and broadcasting the verified network detection task to the block link points.
In some embodiments, in response to obtaining the network probing task, analyzing the network probing task to obtain a task processing queue includes: in response to the network detection task being obtained, classifying the network detection tasks based on the first attribute information of the network detection tasks, sorting the network detection tasks according to the time and priority of the network detection tasks, and adding the sorted network detection tasks to a task processing queue.
In some embodiments, in response to sending the task processing queue into the blockchain, determining a probe point in the blockchain that matches execution of the network probe task comprises: and responding to the sending of the task processing queue to the block chain, and determining a detection point list by utilizing a greedy algorithm based on second attribute information of the network detection task, wherein the detection point corresponds to the execution task in the detection point list.
In some embodiments, updating the task processing queue in response to receiving a validation result of a validation node in a blockchain comprises: receiving a task execution result sent to a block chain by a detection point; and updating the task processing queue in response to receiving a verification result of availability verification of the task execution result by a verification node in the block chain based on a preset verification mode.
In some embodiments, updating the task processing queue in response to receiving a validation result of a validation node in a blockchain comprises: in response to receiving that the verification result of the verification node in the block chain indicates verification completion or verification is overdue, deleting the network detection task corresponding to the verification result in the task processing queue; and adding a new network detection task to the task processing queue.
In a second aspect, the present application further provides a network probe task scheduling device based on a block chain technique, including: the analysis unit is configured to respond to the network detection task and analyze the network detection task to obtain a task processing queue; a determining unit configured to determine a probe point in the block chain that matches an execution of the network probe task in response to sending the task processing queue into the block chain; an execution unit configured to update the task processing queue in response to receiving a verification result of a verification node in the blockchain; the verification result comprises a verification result of verifying the execution result of the network detection task executed by the detection point by the verification node; a broadcasting unit configured to broadcast the verified network probing task into the block link points.
In some embodiments, the parsing unit is further configured to, in response to acquiring the network probe task, classify the network probe task based on the first attribute information of the network probe task, sort by time and priority of the network probe task, and add the sorted network probe task to the task processing queue.
In some embodiments, the determining unit is further configured to determine, in response to sending the task processing queue into the block chain, a probe point list using a greedy algorithm based on the second attribute information of the network probe task, wherein the probe points in the probe point list correspond to the executing task.
In some embodiments, the execution unit is further configured to receive a task execution result sent by the probe point to the block chain; and updating the task processing queue in response to receiving a verification result of the availability verification of the task execution result by the verification node in the block chain based on a preset verification mode.
In some embodiments, the execution unit is further configured to delete a network probing task in the task processing queue corresponding to a validation result in response to receiving that the validation result of the validation node in the blockchain indicates that validation is complete or that validation is expired; and adding a new network detection task to the task processing queue.
In the embodiment of the application, a network detection task scheduling method and device based on a block chain technology are provided, wherein a task processing queue is obtained by analyzing a network detection task in response to the network detection task being obtained; then responding to the sending task processing queue to the block chain, and determining a detection point matched with the network detection task in the block chain; updating the task processing queue in response to receiving a verification result of a verification node in a block chain; the verification result comprises a verification result of verifying the execution result of the network detection task executed by the detection point by the verification node; and finally broadcasting the verified network detection task to the block link points. The technical problems that in the related art, the realization complexity of a centralized task scheduling mechanism is high, accurate optimal scheduling decisions are difficult to make, detection areas in an executed task are unevenly distributed, optimal detection points are difficult to select, and task execution is difficult to verify are solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
fig. 1 is a flowchart of a network probe task scheduling method based on a block chain technique according to an embodiment of the present application;
fig. 2 is an application scenario diagram of a network probe task scheduling method based on a block chain technique according to an embodiment of the present application;
fig. 3 is an application scenario diagram of a network probe task scheduling method based on a block chain technique according to an embodiment of the present application;
fig. 4 is a block diagram of a network probe task scheduling device based on a block chain technique according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
In addition, the term "plurality" shall mean two as well as more than two.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows an embodiment of a network probe task scheduling method based on a block chain technology, including:
Before executing the main body to execute step 101, security industry people can be recruited globally in an inviting manner in advance as a detection point, and the joining block chain node generates a unique identifier in a detection community network as a signature. And then the enterprise user joins the block chain network through authentication, adds a detection task in the detection system and configures the execution requirement of the task.
In some optional implementation manners of this embodiment, analyzing the network probe task in response to obtaining the network probe task, and obtaining the task processing queue includes: in response to the network detection task being obtained, classifying the network detection tasks based on the first attribute information of the network detection tasks, sorting the network detection tasks according to the time and priority of the network detection tasks, and adding the sorted network detection tasks to a task processing queue.
The first attribute information may be information for indicating the nature of the network probe task, for example, the execution subject may classify the network probe task based on information such as task type, geographic area, and number of required executors, sort the network probe task according to time and priority of the network probe task, add the sorted network probe task to a task processing queue, and then submit the tasks in the queue to the blockchain system.
In some optional implementations of this embodiment, in response to sending the task processing queue to the block chain, determining a probe point in the block chain that matches the network probe task includes: and responding to the sending of the task processing queue to the block chain, and determining a detection point list by utilizing a greedy algorithm based on second attribute information of the network detection task, wherein the detection point corresponds to the execution task in the detection point list.
In this embodiment, the block chain system may select a verification node in advance according to a consensus mechanism, where the verification node obtains the voting authority, and selects a block exit node responsible for the resolution according to a trusted mechanism, where the consensus mechanism supports algorithms such as PoW, PoS, DPos, and pBFT.
In this embodiment, the second attribute information may be information for indicating the nature of the network probing task, and the execution subject may select a probe point list for dispatching the task to execute based on attribute information such as a probing region of the network probing task, an evaluator credit rating, available probing resources, a probing metric execution cost, a network real-time state, and a historical metric value range, and accordingly push the task to the probe point.
The greedy algorithm assigns as many tasks as possible to each probe, and the task types are matched to the probe resources. And the online detection list dynamically maintained by the system is distributed based on the related network area according to the task description and the scheduling strategy in the task queue. And the decentralized scheduling distributes each detection task to the evaluation point for execution according to the optimal strategy of the greedy rule. The dispatching strategy fully considers factors such as a detection area, credit rating of an evaluator, available detection resources, detection measurement execution cost, a network real-time state and a historical measurement value range, and the accuracy of a detection result is guaranteed through a multi-round verification mode while the reliable execution of tasks is guaranteed.
In this embodiment, after the probe point completes the network probe task, the state of executing the network probe task may be broadcast to the blockchain network, and the execution subject updates the task processing queue after receiving the verification result of the verification node in the blockchain.
As an optional implementation manner of this embodiment, in response to receiving a verification result of a verification node in a blockchain, updating the task processing queue includes: receiving a task execution result sent to a block chain by a detection point; and updating the task processing queue in response to receiving a verification result of availability verification of the task execution result by a verification node in the block chain based on a preset verification mode.
In this embodiment, the verification node may adopt a set verification mode to verify timeliness and validity of task execution. And (4) outputting the block node packaging task and the task execution queue, broadcasting to other verification nodes, and enabling the verification nodes to agree on the packaging result.
As an optional implementation manner of this embodiment, in response to receiving a verification result of a verification node in a blockchain, updating the task processing queue includes: in response to receiving that the verification result of the verification node in the block chain indicates verification completion or verification is overdue, deleting the network detection task corresponding to the verification result in the task processing queue; and adding a new network detection task to the task processing queue.
In this embodiment, execution may delete tasks that have been completed and expired by validation, add new tasks, and sort and order them.
And 104, broadcasting the verified network detection task to the block link points.
In this embodiment, the verified blocks are broadcast to the blockchain network for real-time synchronization to the nodes of the blockchain system.
In the network detection task scheduling method and device based on the block chain technology, the network detection task is analyzed to obtain a task processing queue in response to the network detection task; then responding to the sending task processing queue to the block chain, and determining a detection point matched with the network detection task in the block chain; updating the task processing queue in response to receiving a verification result of a verification node in a block chain; the verification result comprises a verification result of verifying the execution result of the network detection task executed by the detection point by the verification node; and finally broadcasting the verified network detection task to the block link points. The technical problems that in the related art, the realization complexity of a centralized task scheduling mechanism is high, accurate optimal scheduling decisions are difficult to make, detection areas in an executed task are unevenly distributed, optimal detection points are difficult to select, and task execution is difficult to verify are solved.
Referring to fig. 2, fig. 2 is a view showing an application scenario of a network probing task scheduling method based on a blockchain technology, and devices of security industry people can be recruited globally in an inviting manner in advance as probing points, and added to a blockchain node to generate a unique identifier in a probing community network as a signature. And the enterprise user joins the block chain network through authentication, adds a detection task in the detection system and configures the execution requirement of the task. The tasks are classified according to factors such as task types, geographic areas, the number of required executors and the like, are sorted according to time and priority, are added to a task processing queue, and are submitted to a block chain. The blockchain selects the verification node according to a consensus mechanism. And the verification node acquires the voting authority and selects a block outlet node in charge of resolution according to the credibility mechanism. The consensus mechanism supports algorithms such as PoW, PoS, DPos, pBFT, etc. An online detection point list dynamically maintained by a scheduling mechanism takes factors such as a detection area, credit rating of an evaluator, available detection resources, detection measurement execution cost, network real-time state, historical measurement value range and the like into consideration, adopts an improved greedy algorithm to select the detection point list for dispatching a task to execute, and pushes the task to a detection point according to the detection point list. After processing the task, the probe broadcasts the task execution status to the blockchain network. And the verification node adopts a set verification mode to verify the timeliness and the effectiveness of the task execution. And the out-block node packages the tasks and the task execution queue and broadcasts the tasks and the task execution queue to other verification nodes. The verification node agrees with the packaging result. Updating the task queue, deleting the tasks which are finished and expired through verification, adding new tasks, classifying and sequencing. And broadcasting the verified blocks to the block chain network, and synchronizing the verified blocks to each node of the block chain in real time.
Referring to fig. 3, fig. 3 is a diagram illustrating an application scenario of a network probe task scheduling method based on a block chain technique, in order to ensure reliable execution of a probe task, the method may pre-establish a self-trusted probe point for each probe region. The task distribution certification adopts a two-wheel working mode of estimation-detection-verification. In the stage of pre-estimation-detection, the scheduling Di selects a possible area detection measurement reference value according to the historical detection information and an optimal strategy, and accordingly selects an evaluator end according to the area to dispatch a detection task. In the stage of detection-checking, the current detection return value of each end is checked with the reference value by scheduling, and if the detection return value has larger deviation, the result needs to be further checked. Once the deviation result passes the audit, the detection result is proved to be correct and abnormal, and an alarm needs to be given to the enterprise client in real time. The two-wheel working mode ensures that the abnormal conditions are verified and alarmed in time while ensuring that the crowdsourcing execution end can not cheat and earns earnings.
Fig. 4 shows an embodiment of a network probe task scheduling device based on the blockchain technique, and the device includes:
the analysis unit 401 is configured to, in response to acquiring the network probe task, analyze the network probe task to obtain a task processing queue.
In an optional implementation manner of this embodiment, the parsing unit is further configured to, in response to acquiring the network probe task, classify the network probe task based on the first attribute information of the network probe task, sort according to time and priority of the network probe task, and add the sorted network probe task to the task processing queue.
A determining unit 402 configured to determine a probe point in the block chain that matches the execution of the network probe task in response to sending the task processing queue into the block chain.
As an optional implementation manner of this embodiment, the determining unit is further configured to, in response to sending the task processing queue into the block chain, determine, by using a greedy algorithm, a probe point list based on the second attribute information of the network probe task, where a probe point in the probe point list corresponds to an execution task.
An execution unit 403 configured to update the task processing queue in response to receiving a validation result of a validation node in a blockchain; the verification result comprises a verification result of verifying the execution result of the network detection task executed by the detection point by the verification node.
As an optional implementation manner of this embodiment, the execution unit is further configured to receive a task execution result sent by the probe to the block chain; and updating the task processing queue in response to receiving a verification result of availability verification of the task execution result by a verification node in the block chain based on a preset verification mode.
A broadcasting unit 404 configured to broadcast the verified network probing task into the blockchain nodes
As an optional implementation manner of this embodiment, the execution unit is further configured to delete the network probing task corresponding to the validation result in the task processing queue, in response to receiving that the validation result of the validation node in the blockchain indicates that validation is complete or that validation is expired; and adding a new network detection task to the task processing queue.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A network detection task scheduling method based on a block chain technology comprises the following steps:
in response to the network detection task being obtained, analyzing the network detection task to obtain a task processing queue;
in response to sending the task processing queue to a block chain, determining a probe point in the block chain that matches execution of the network probe task;
updating the task processing queue in response to receiving a verification result of a verification node in a block chain; the verification result comprises a verification result of verifying the execution result of the network detection task executed by the detection point by the verification node;
and broadcasting the verified network detection task to the block link points.
2. The method according to claim 1, wherein the analyzing the network probe task to obtain the task processing queue in response to obtaining the network probe task comprises:
in response to the network detection task being obtained, classifying the network detection tasks based on the first attribute information of the network detection tasks, sorting the network detection tasks according to the time and priority of the network detection tasks, and adding the sorted network detection tasks to a task processing queue.
3. The method of claim 1, wherein determining probe points in a block chain that match the performance of the network probe task in response to sending the task processing queue into the block chain comprises:
and responding to the sending of the task processing queue to the block chain, and determining a detection point list by utilizing a greedy algorithm based on second attribute information of the network detection task, wherein the detection points in the detection point list correspond to the execution task.
4. The method of claim 1, wherein updating the task processing queue in response to receiving the validation result of the validation node in the blockchain comprises:
receiving a task execution result sent to a block chain by a detection point;
and updating the task processing queue in response to receiving a verification result of availability verification of the task execution result by a verification node in the block chain based on a preset verification mode.
5. The method according to claim 1 or 4, wherein updating the task processing queue in response to receiving the verification result from the verification node in the blockchain comprises:
in response to receiving that the verification result of the verification node in the block chain indicates verification completion or verification is overdue, deleting the network detection task corresponding to the verification result in the task processing queue;
and adding a new network detection task to the task processing queue.
6. A network detection task scheduling device based on a block chain technology comprises:
the analysis unit is configured to respond to the network detection task and analyze the network detection task to obtain a task processing queue;
a determining unit configured to determine a probe point in a block chain that matches execution of the network probe task in response to sending the task processing queue into the block chain;
an execution unit configured to update the task processing queue in response to receiving a validation result of a validation node in a blockchain; the verification result comprises a verification result of verifying the execution result of the network detection task executed by the detection point by the verification node;
a broadcasting unit configured to broadcast the verified network probing task into the block link points.
7. The device according to claim 6, wherein the parsing unit is further configured to, in response to acquiring a network probe task, classify the network probe task based on the first attribute information of the network probe task, sort according to the time and priority of the network probe task, and add the sorted network probe task to a task processing queue.
8. The device according to claim 6, wherein the determining unit is further configured to determine a probe list using a greedy algorithm based on the second attribute information of the network probe task in response to sending the task processing queue into the block chain, wherein the probe point in the probe list corresponds to the executing task.
9. The device according to claim 6, wherein the execution unit is further configured to receive a task execution result sent by the probe to the blockchain; and updating the task processing queue in response to receiving a verification result of availability verification of the task execution result by a verification node in the block chain based on a preset verification mode.
10. The device according to claim 6 or 9, wherein the execution unit is further configured to delete the network probe task corresponding to the verification result in the task processing queue in response to receiving that the verification result of the verification node in the blockchain indicates verification completion or verification expiration; and adding a new network detection task to the task processing queue.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108768792A (en) * | 2018-07-06 | 2018-11-06 | 网宿科技股份有限公司 | Network detecting systems |
| CN109936486A (en) * | 2019-01-02 | 2019-06-25 | 平安科技（深圳）有限公司 | Auto-dial testing method, apparatus, equipment and storage medium based on block chain |
| CN110474818A (en) * | 2019-07-11 | 2019-11-19 | 福州博泉网络科技有限公司 | Block chain network sniffer, Network Sniffing method and optimization method |
| US20200050479A1 (en) * | 2018-08-09 | 2020-02-13 | Spacebook Technology Co. Limited | Blockchain network and task scheduling method therefor |
-
2020
- 2020-06-24 CN CN202010594092.6A patent/CN111651260A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108768792A (en) * | 2018-07-06 | 2018-11-06 | 网宿科技股份有限公司 | Network detecting systems |
| US20200050479A1 (en) * | 2018-08-09 | 2020-02-13 | Spacebook Technology Co. Limited | Blockchain network and task scheduling method therefor |
| CN109936486A (en) * | 2019-01-02 | 2019-06-25 | 平安科技（深圳）有限公司 | Auto-dial testing method, apparatus, equipment and storage medium based on block chain |
| CN110474818A (en) * | 2019-07-11 | 2019-11-19 | 福州博泉网络科技有限公司 | Block chain network sniffer, Network Sniffing method and optimization method |
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