CN114205290A - Data processing method and device for behavioral propagation - Google Patents
Data processing method and device for behavioral propagation Download PDFInfo
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Abstract
The invention discloses a data processing method and a data processing device for behavioral propagation, wherein the method comprises the following steps: detecting whether a transmission task request is received; when a transmission task request is received, processing the transmission task request by using a preset node selection rule to obtain a node information set; the node information set comprises M pieces of node information; m is a positive integer greater than or equal to 3; processing the node information set by using a preset path integration rule to obtain target propagation path information; the target propagation path information is used to indicate propagation to the behavioral entity. Therefore, the invention can obtain the node information by detecting the transmission task request and comprehensively utilizing the node selection rule, and obtain the target transmission path information for indicating the transmission of the behavior body by processing the path integration rule, thereby being beneficial to optimizing the selection of the key node on the transmission path, improving the stability and the safety of the node and further facilitating the behavior body to accurately transmit by utilizing the node.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data processing method and apparatus for behavioral propagation.
Background
Under the condition of orienting to a heterogeneous network, a behavior body needs to comprehensively consider the current network state and task requirements before autonomous propagation, and selects reasonable nodes as propagation objects, but the selection of the nodes at present has the problems of low stability and poor safety. Therefore, it is important to provide a data processing method and apparatus for behavioral entity propagation to optimize the selection of key nodes on a propagation path, improve the stability and security of the nodes, and further facilitate the behavioral entity to perform accurate propagation by using the nodes.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a data processing method and apparatus for behavioral entity propagation, which can obtain node information by detecting a propagation task request and comprehensively utilizing a node selection rule, and obtain target propagation path information for indicating propagation of a behavioral entity by processing a path integration rule, so as to facilitate optimization of selection of key nodes on a propagation path, improve stability and security of nodes, and further facilitate accurate propagation of the behavioral entity by using the nodes.
In order to solve the above technical problem, a first aspect of the embodiments of the present invention discloses a data processing method for behavioral propagation, where the method includes:
detecting whether a transmission task request is received;
when the transmission task request is received, processing the transmission task request by using a preset node selection rule to obtain a node information set; the node information set comprises M pieces of node information; m is a positive integer greater than or equal to 3;
processing the node information set by using a preset path integration rule to obtain target propagation path information; the target propagation path information is used for indicating propagation to a behavior body.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the broadcast task request includes a target broadcast network, and/or broadcast task type information;
the processing the propagation task request by using a preset node selection rule to obtain a node information set, including:
analyzing and processing the propagation task type information to obtain node type information; the node type information includes N propagation node types; n is a positive integer less than or equal to M;
and processing the node type information and the target propagation network to obtain a node information set.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the propagation node type includes a first propagation node type, and/or a second propagation node type;
the processing the node type information and the target propagation network to obtain a node information set includes:
judging whether a first transmission node type exists in the node type information or not to obtain a first judgment result;
when the first judgment result is yes, calling a preset interface searching rule to process the target propagation network to obtain network connectivity node information; the network connectivity node information comprises network infrastructure type information;
when the first judgment result is negative, calling a preset network information search rule to process the target propagation network to obtain the network basic type information;
processing the network basic type information to obtain an important node information set; the important node information set comprises a plurality of important node information;
processing the important node information set to obtain a target internal node information set; the target internal node information set comprises a first internal node information set and/or a second internal node information set.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the network infrastructure type information includes a network type, and/or a first probe;
the processing the network basic type information to obtain an important node information set includes:
judging whether the first detection signal is detected or not to obtain a second judgment result;
when the second judgment result is yes, screening out a standby propagation detection program matched with the network type from a preset standby propagation detection program set to serve as a target forwarding detection program;
and scanning and detecting the target transmission network by using the target forwarding detection program to obtain an important node information set.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the set of important node information further includes a second probe signal;
the processing the important node information set to obtain a target internal node information set includes:
judging whether the second detection signal is detected or not to obtain a third judgment result;
when the third judgment result is yes, screening out a standby propagation detection program matched with the propagation task type information from a preset standby propagation detection program set to serve as a target injection detection program;
scanning and detecting the target propagation network by using the target injection detection program to obtain a standby internal node information set;
screening the internal node information set to be used by using a preset internal node screening rule to obtain the first internal node information set;
judging whether the first internal node information set is consistent with the standby internal node information set or not to obtain a fourth judgment result;
and when the fourth judgment result is negative, determining the second internal node information set according to the standby internal node information set and the first internal node information set.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the processing the important node information set to obtain a target internal node information set, the method further includes:
judging whether the second propagation node type exists in the node type information or not to obtain a fifth judgment result;
when the fifth judgment result is yes, screening out a standby propagation detection program matched with the type of the second propagation node from a preset standby propagation detection program set to serve as a target return detection program;
scanning and detecting the target transmission network by using the target return detection program to obtain a boundary output node information set; the boundary output node information set comprises a plurality of pieces of boundary output node information; and the boundary output node information is used for indicating to transmit back the related information of the behavior body transmitted in the target transmission network.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the node information set includes network connectivity node information, and/or an important node information set, and/or a target internal node information set;
the processing the node information set by using a preset path integration rule to obtain target propagation path information includes:
judging whether the node information set has the network connectivity node information or not to obtain a connectivity judgment result;
when the connectivity judgment result is yes, processing the network connectivity node information to obtain a target connectivity node;
matching the important node information set and the target internal node information set to obtain a matched node set;
and processing the target connectivity node and the matching node set to obtain target propagation path information.
The second aspect of the embodiments of the present invention discloses a data processing apparatus for behavioral propagation, the apparatus comprising:
the detection module is used for detecting whether a task transmission request is received or not;
the first processing module is used for processing the spreading task request by utilizing a preset node selection rule when the spreading task request is received, so as to obtain a node information set; the node information set comprises M pieces of node information; m is a positive integer greater than or equal to 3;
the second processing module is used for processing the node information set by using a preset path integration rule to obtain target propagation path information; the target propagation path information is used for indicating propagation to a behavior body.
As a further alternative, in the second aspect of the embodiment of the present invention, the task request includes a target propagation network and/or a propagation task type information;
the first processing module comprises a first processing submodule and a second processing submodule, wherein:
the first processing submodule is used for analyzing and processing the propagation task type information to obtain node type information; the node type information includes N propagation node types; n is a positive integer less than or equal to M;
and the second processing submodule is used for processing the node type information and the target propagation network to obtain a node information set.
As a further implementation manner, in the second aspect of the embodiment of the present invention, the propagation node type includes a first propagation node type and/or a second propagation node type;
the second processing submodule processes the node type information and the target propagation network to obtain a node information set in a specific mode that:
judging whether a first transmission node type exists in the node type information or not to obtain a first judgment result;
when the first judgment result is yes, calling a preset interface searching rule to process the target propagation network to obtain network connectivity node information; the network connectivity node information comprises network infrastructure type information;
when the first judgment result is negative, calling a preset network information search rule to process the target propagation network to obtain the network basic type information;
processing the network basic type information to obtain an important node information set; the important node information set comprises a plurality of important node information;
processing the important node information set to obtain a target internal node information set; the target internal node information set comprises a first internal node information set and/or a second internal node information set.
As a possible implementation manner, in the second aspect of the embodiment of the present invention, the network infrastructure type information includes a network type, and/or a first probe;
the second processing submodule processes the network basic type information to obtain an important node information set in a specific mode that:
judging whether the first detection signal is detected or not to obtain a second judgment result;
when the second judgment result is yes, screening out a standby propagation detection program matched with the network type from a preset standby propagation detection program set to serve as a target forwarding detection program;
and scanning and detecting the target transmission network by using the target forwarding detection program to obtain an important node information set.
As a possible implementation manner, in the second aspect of the embodiment of the present invention, the set of important node information further includes a second probe signal;
the second processing submodule processes the important node information set to obtain a target internal node information set in a specific mode that:
judging whether the second detection signal is detected or not to obtain a third judgment result;
when the third judgment result is yes, screening out a standby propagation detection program matched with the propagation task type information from a preset standby propagation detection program set to serve as a target injection detection program;
scanning and detecting the target propagation network by using the target injection detection program to obtain a standby internal node information set;
screening the internal node information set to be used by using a preset internal node screening rule to obtain the first internal node information set;
judging whether the first internal node information set is consistent with the standby internal node information set or not to obtain a fourth judgment result;
and when the fourth judgment result is negative, determining the second internal node information set according to the standby internal node information set and the first internal node information set.
As a possible implementation manner, in the second aspect of the embodiment of the present invention, after the second processing sub-module processes the important node information set to obtain a target internal node information set, the apparatus further includes:
the detection module is used for judging whether the second propagation node type exists in the node type information or not to obtain a fifth judgment result;
when the fifth judgment result is yes, screening out a standby propagation detection program matched with the type of the second propagation node from a preset standby propagation detection program set to serve as a target return detection program;
scanning and detecting the target transmission network by using the target return detection program to obtain a boundary output node information set; the boundary output node information set comprises a plurality of pieces of boundary output node information; and the boundary output node information is used for indicating to transmit back the related information of the behavior body transmitted in the target transmission network.
As a further alternative, in the second aspect of the embodiment of the present invention, the node information set includes network connectivity node information, and/or an important node information set, and/or a target internal node information set;
the second processing module processes the node information set by using a preset path integration rule, and the specific way of obtaining the target propagation path information is as follows:
judging whether the node information set has the network connectivity node information or not to obtain a connectivity judgment result;
when the connectivity judgment result is yes, processing the network connectivity node information to obtain a target connectivity node;
matching the important node information set and the target internal node information set to obtain a matched node set;
and processing the target connectivity node and the matching node set to obtain target propagation path information.
A third aspect of the present invention discloses another data processing apparatus for behavioral propagation, the apparatus comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute part or all of the steps of the data processing method for propagation of the behavior body disclosed in the first aspect of the embodiment of the present invention.
A fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions for executing part or all of the steps in the data processing method for behavioral propagation disclosed in the first aspect of the present invention when the computer instructions are called.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, whether a task transmission request is received or not is detected; when a transmission task request is received, processing the transmission task request by using a preset node selection rule to obtain a node information set; the node information set comprises M pieces of node information; m is a positive integer greater than or equal to 3; processing the node information set by using a preset path integration rule to obtain target propagation path information; the target propagation path information is used to indicate propagation to the behavioral entity. Therefore, the invention can obtain the node information by detecting the transmission task request and comprehensively utilizing the node selection rule, and obtain the target transmission path information for indicating the transmission of the behavior body by processing the path integration rule, thereby being beneficial to optimizing the selection of the key node on the transmission path, improving the stability and the safety of the node and further facilitating the behavior body to accurately transmit by utilizing the node.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of a data processing method for behavioral propagation according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating another data processing method for behavioral propagation according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a data processing apparatus for behavioral propagation according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of another data processing apparatus for behavioral propagation according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another data processing apparatus for behavioral propagation according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or apparatus that comprises a list of steps or elements is not limited to those listed but may alternatively include other steps or elements not listed or inherent to such process, method, product, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a data processing method and a data processing device for behavioral entity propagation, which can obtain node information by detecting a propagation task request and comprehensively utilizing a node selection rule, and obtain target propagation path information for indicating propagation of a behavioral entity by processing a path integration rule, thereby being beneficial to optimizing selection of key nodes on a propagation path, improving stability and safety of the nodes and further facilitating the behavioral entity to accurately propagate by utilizing the nodes. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a data processing method for behavioral propagation according to an embodiment of the present invention. The data processing method for behavioral propagation depicted in fig. 1 is applied to a data processing system, such as a local server or a cloud server for data processing management of behavioral propagation, and the embodiment of the present invention is not limited thereto. As shown in fig. 1, the data processing method for behavioral propagation may include the operations of:
101. it is detected whether a propagated task request is received.
102. And when the transmission task request is received, processing the transmission task request by using a preset node selection rule to obtain a node information set.
In the embodiment of the present invention, the node information set includes M pieces of node information.
In an embodiment of the present invention, M is a positive integer greater than or equal to 3.
103. And processing the node information set by using a preset path integration rule to obtain target propagation path information.
In the embodiment of the present invention, the target propagation path information is used to indicate propagation to a behavior body.
Optionally, the node information includes network connectivity node information, and/or important node information, and/or first internal node information, and/or second internal node information, and/or boundary output node information.
Optionally, the network connectivity node information is used for communication between networks.
Optionally, the important node information is used for data forwarding of the server.
Optionally, the first internal node information is used for intermediate forwarding of data.
Optionally, the second internal node information is used for backing up the behavior entity.
Optionally, the boundary output node information is used for returning data information.
Therefore, the data processing method for behavioral entity propagation described in the embodiment of the present invention can obtain node information by detecting the propagation task request and comprehensively utilizing the node selection rule, and obtain target propagation path information for instructing propagation of a behavioral entity by processing the path integration rule, which is beneficial to optimizing selection of key nodes on the propagation path, improving stability and security of the nodes, and further facilitating accurate propagation of the behavioral entity by using the nodes.
In an optional embodiment, the broadcast task request includes a target broadcast network and/or broadcast task type information;
in the step 102, the processing of the propagation task request by using the preset node selection rule to obtain a node information set includes:
analyzing and processing the type information of the broadcast task to obtain node type information; the node type information includes N propagation node types; n is a positive integer less than or equal to M;
and processing the node type information and the target transmission network to obtain a node information set.
Optionally, the propagation node types include a first propagation node type, and/or a second propagation node type, and/or a third propagation node type, and/or a fourth propagation node type, which is not limited in the embodiment of the present invention.
Optionally, the first type of the propagation node is matched with the network connectivity node information.
Optionally, the second propagation node type is matched with the boundary output node information.
Optionally, the third propagation node type is matched with the important node information.
Optionally, the fourth propagation node type is matched with the first internal node information.
Therefore, the data processing method for behavioral propagation described in the embodiment of the present invention can obtain the node type information by analyzing and processing the propagation task type information, and obtain the node information by further processing, which is beneficial to optimizing the selection of key nodes on the propagation path, improving the stability and security of the nodes, and further facilitating the behavioral to perform accurate propagation by using the nodes.
In another optional embodiment, the propagation node types include a first propagation node type, and/or a second propagation node type;
the processing the node type information and the target propagation network to obtain the node information set includes:
judging whether a first transmission node type exists in the node type information or not to obtain a first judgment result;
when the first judgment result is yes, calling a preset interface searching rule to process the target transmission network to obtain network connectivity node information; the network connectivity node information comprises network basic type information;
when the first judgment result is negative, calling a preset network information search rule to process the target propagation network to obtain network basic type information;
processing the network basic type information to obtain an important node information set; the important node information set comprises a plurality of important node information;
processing the important node information set to obtain a target internal node information set; the target internal node information set includes a first internal node information set, and/or a second internal node information set.
Optionally, the network connectivity node information includes a network connectivity node, and/or network basic type information, and/or connectivity node port information, which is not limited in the embodiment of the present invention.
In this optional embodiment, as an optional implementation, the specific way of invoking the preset interface search rule to process the target propagation network to obtain the network connectivity node information is as follows:
calling an interface detection instruction;
scanning and detecting a communication port corresponding to a target propagation network by using an interface detection instruction to obtain connectivity node port information;
and calling an interface searching instruction which is screened out from a preset to-be-used propagation detection program set and is matched with the port information of the connectivity node to scan and detect the target propagation network to obtain the network basic type information.
Therefore, the data processing method for behavioral propagation described in the embodiment of the present invention can select the adopted search rule by judging the type of the first propagation node to obtain the network basic type information, and further process the data information to obtain the important node information and the target internal node information set, which is beneficial to optimizing the selection of the key node on the propagation path, improving the stability and the security of the node, and further facilitating the behavioral to accurately propagate by using the node.
In yet another alternative embodiment, the network infrastructure type information includes a network type, and/or a first probe;
the processing the network basic type information to obtain an important node information set includes:
judging whether the first detection signal is detected or not to obtain a second judgment result;
when the second judgment result is yes, screening out a standby propagation detection program matched with the network type from a preset standby propagation detection program set to serve as a target forwarding detection program;
and scanning and detecting the target transmission network by using a target forwarding detection program to obtain an important node information set.
Optionally, the important node information includes an important node and/or target propagation network basic information, which is not limited in the embodiment of the present invention.
In this optional embodiment, as an optional implementation manner, the specific manner of obtaining the important node information set by performing scanning detection on the target propagation network by using the target forwarding detection program is as follows:
processing the network basic type information by using a target forwarding detection program to obtain target transmission network basic information;
carrying out IP detection on all nodes to be selected in the target transmission network by using a target forwarding detection program to obtain a node set to be matched; the node set to be matched comprises a plurality of nodes to be matched;
and carrying out data packet detection on all the nodes to be matched in the node set to be matched by using a target forwarding detection program to obtain a plurality of important nodes.
Therefore, the data processing method for behavioral propagation described in the embodiment of the present invention can determine the target forwarding detection program by judging the first detection signal and screening the to-be-transmitted detection program, and determine the important node information by scanning and detecting the target propagation network by using the target forwarding detection program, which is more beneficial to optimizing the selection of the important node on the propagation path, improving the stability and the security of the node, and further facilitating the behavioral to perform accurate propagation by using the node.
In yet another optional embodiment, the set of important node information further includes a second probe signal;
the processing the important node information set to obtain a target internal node information set includes:
judging whether a second detection signal is detected or not to obtain a third judgment result;
when the third judgment result is yes, screening out a standby propagation detection program matched with the propagation task type information from a preset standby propagation detection program set to serve as a target injection detection program;
scanning and detecting the target transmission network by using a target injection detection program to obtain a standby internal node information set;
screening the internal node information set to be used by using a preset internal node screening rule to obtain a first internal node information set;
judging whether the first internal node information set is consistent with the standby internal node information set or not to obtain a fourth judgment result;
and when the fourth judgment result is negative, determining a second internal node information set according to the standby internal node information set and the first internal node information set.
Optionally, the target internal node information to be used includes a target internal node and/or a target propagation network basic information, which is not limited in the embodiment of the present invention.
Optionally, the first internal node information includes a first internal node and/or target propagation network basic information, which is not limited in the embodiment of the present invention.
In this optional embodiment, as an optional implementation, the specific way of obtaining the first internal node information set by performing the filtering processing on the internal node information set to be used by using the preset internal node filtering rule is as follows:
carrying out quantitative processing on all internal node information to be used to obtain a node score set; the node score set comprises a plurality of node scores; any node score corresponds to only one piece of standby internal node information;
sequencing all node scores in the node score set from large to small to obtain a node score sequence;
determining an internal node quantity value according to the transmission task request;
and selecting standby internal node information corresponding to the node scores with the number matched with the internal node quantity value from the node score sequence as first internal node information.
In this optional embodiment, as another optional implementation, the specific way of obtaining the first internal node information set by performing the filtering processing on the internal node information set to be used by using the preset internal node filtering rule is as follows:
determining an internal node scoring threshold according to the transmission task request;
for any standby internal node information, grading the safety of the standby internal node information to obtain a safety grade corresponding to the standby internal node information;
judging whether the safety score corresponding to the internal node information to be used is less than or equal to the internal node score threshold value or not, and obtaining a score judgment result;
and when the grading judgment result is yes, determining the standby internal node information as the first internal node information.
Therefore, the data processing method for behavioral propagation described in the embodiment of the present invention can determine the target internal node information set by determining the second detection signal, screening the target injection detection program, and comprehensively utilizing the internal node screening rules, which is more beneficial to optimizing the selection of the key nodes on the propagation path, improving the stability and security of the nodes, and further facilitating the behavioral to accurately propagate by using the nodes.
In another optional embodiment, after processing the important node information set to obtain the target internal node information set, the method further includes:
judging whether a second propagation node type exists in the node type information or not to obtain a fifth judgment result;
when the fifth judgment result is yes, screening out a standby propagation detection program matched with the type of the second propagation node from a preset standby propagation detection program set to serve as a target return detection program;
scanning and detecting the target transmission network by using a target return detection program to obtain a boundary output node information set; the boundary output node information set comprises a plurality of pieces of boundary output node information; and the boundary output node information is used for indicating to transmit the relevant information of the behavior body in the target transmission network back.
Optionally, the boundary output node information includes a boundary output node and/or target propagation network basic information, which is not limited in the embodiment of the present invention.
Optionally, the boundary output node includes a node connected to the internet, and/or an edge node where an MIC is installed, and/or a node with frequent recording operations, and/or a node with frequent usb disk plugging/unplugging operations, and/or a mobile terminal.
Optionally, the boundary output node is located at a network edge of the target propagation network.
Therefore, by implementing the data processing method for behavioral propagation described in the embodiment of the present invention, the boundary output node information can be obtained through the screening of the second propagation node type and the target backhaul detection process and the scanning detection of the target propagation network, which is more beneficial to optimizing the selection of the key nodes on the propagation path, improving the stability and the security of the nodes, and further facilitating the behavioral to perform accurate propagation by using the nodes.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating another data processing method for behavioral propagation according to an embodiment of the present invention. The data processing method for behavioral propagation depicted in fig. 2 is applied to a data processing system, such as a local server or a cloud server for data processing management of behavioral propagation, and the embodiment of the present invention is not limited thereto. As shown in fig. 2, the data processing method for behavioral propagation may include the operations of:
201. it is detected whether a propagated task request is received.
202. And when the transmission task request is received, processing the transmission task request by using a preset node selection rule to obtain a node information set.
In this embodiment of the present invention, the node information set includes network connectivity node information, and/or an important node information set, and/or a target internal node information set.
203. And judging whether the node information set has network connectivity node information or not to obtain a connectivity judgment result.
204. And when the connectivity judgment result is yes, processing the network connectivity node information to obtain a target connectivity node.
205. And matching the important node information set and the target internal node information set to obtain a matched node set.
206. And processing the target connectivity node and the matching node set to obtain target propagation path information.
In the embodiment of the present invention, for specific technical details and technical noun explanations of step 201 to step 202, reference may be made to the detailed description of step 101 to step 102 in the first embodiment, and details are not repeated in the embodiment of the present invention.
Optionally, the target internal node information includes a target internal node and/or target propagation network basic information, which is not limited in the embodiment of the present invention.
Optionally, the matching node set includes a plurality of communication node sets.
Optionally, the communication node includes an important node and a plurality of first internal nodes.
In this optional embodiment, as an optional implementation, the specific way of performing matching processing on the important node information set and the target internal node information set to obtain the matching node set is as follows:
for any important node, carrying out communication detection on all target internal nodes in the target internal node information set to obtain communication feedback information;
and determining the target internal node corresponding to the communication feedback information as a first internal node corresponding to the important node.
Optionally, the target propagation path information includes an important node and a first internal node according to the propagation order.
Optionally, the target propagation path information includes a network connectivity node, an important node, and a first internal node according to the propagation order.
Optionally, the target propagation path information includes a network connectivity node, an important node, a first internal node, and a boundary output node according to a propagation sequence.
Therefore, the data processing method for behavioral entity propagation described in the embodiment of the present invention can obtain node information by detecting the propagation task request and comprehensively utilizing the node selection rule, and obtain target propagation path information for instructing propagation of a behavioral entity by processing the path integration rule, which is beneficial to optimizing selection of key nodes on the propagation path, improving stability and security of the nodes, and further facilitating accurate propagation of the behavioral entity by using the nodes.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a data processing apparatus for behavioral propagation according to an embodiment of the present invention. The apparatus described in fig. 3 can be applied to a data processing system, such as a local server or a cloud server for data processing management of behavioral propagation, and the embodiment of the present invention is not limited thereto. As shown in fig. 3, the apparatus may include:
a detection module 301, configured to detect whether a task transmission request is received;
the first processing module 302 is configured to, when receiving a propagation task request, process the propagation task request by using a preset node selection rule to obtain a node information set; the node information set comprises M pieces of node information; m is a positive integer greater than or equal to 3;
the second processing module 303 is configured to process the node information set by using a preset path integration rule to obtain target propagation path information; the target propagation path information is used to indicate propagation to the behavioral entity.
It can be seen that, by implementing the data processing apparatus for behavioral propagation described in fig. 3, node information can be obtained by detecting a propagation task request and comprehensively utilizing a node selection rule, and target propagation path information for instructing propagation of a behavioral is obtained by processing a path integration rule, which is beneficial to optimizing selection of key nodes on a propagation path, improving stability and security of nodes, and further facilitating accurate propagation of the behavioral by using the nodes.
In another alternative embodiment, as shown in FIG. 4, the propagate task request includes a target propagate network, and/or propagate task type information;
the first processing module 302 includes a first processing submodule 3021 and a second processing submodule 3022, wherein:
the first processing submodule 3021 is configured to analyze and process the broadcast task type information to obtain node type information; the node type information includes N propagation node types; n is a positive integer less than or equal to M;
the second processing sub-module 3022 is configured to process the node type information and the target propagation network to obtain a node information set.
It can be seen that, by implementing the data processing apparatus for behavioral propagation described in fig. 4, the node type information can be obtained by analyzing and processing the propagation task type information, and the node information can be obtained by further processing, which is beneficial to optimizing the selection of key nodes on the propagation path, improving the stability and security of the nodes, and further facilitating the behavioral to perform accurate propagation by using the nodes.
In yet another alternative embodiment, as shown in FIG. 4, the propagation node types include a first propagation node type, and/or a second propagation node type;
the second processing submodule 3022 processes the node type information and the target propagation network to obtain the node information set in the specific manner:
judging whether a first transmission node type exists in the node type information or not to obtain a first judgment result;
when the first judgment result is yes, calling a preset interface searching rule to process the target transmission network to obtain network connectivity node information; the network connectivity node information comprises network basic type information;
when the first judgment result is negative, calling a preset network information search rule to process the target propagation network to obtain network basic type information;
processing the network basic type information to obtain an important node information set; the important node information set comprises a plurality of important node information;
processing the important node information set to obtain a target internal node information set; the target internal node information set includes a first internal node information set, and/or a second internal node information set.
It can be seen that, by implementing the data processing apparatus for behavioral propagation described in fig. 4, the search rule adopted can be selected by judging the type of the first propagation node to obtain the network basic type information, and the important node information and the target internal node information set are obtained by further processing the data information, which is beneficial to optimizing the selection of the key node on the propagation path, improving the stability and the security of the node, and further facilitating the behavioral to perform accurate propagation by using the node.
In yet another alternative embodiment, as shown in fig. 4, the network infrastructure type information includes a network type, and/or, a first probe;
the second processing submodule 3022 processes the network basic type information to obtain an important node information set in the specific manner:
judging whether the first detection signal is detected or not to obtain a second judgment result;
when the second judgment result is yes, screening out a standby propagation detection program matched with the network type from a preset standby propagation detection program set to serve as a target forwarding detection program;
and scanning and detecting the target transmission network by using a target forwarding detection program to obtain an important node information set.
It can be seen that, with the data processing apparatus for behavioral propagation described in fig. 4, the target forwarding detection program can be determined by determining the first detection signal and screening the to-be-transmitted detection program, and the target forwarding detection program is used to scan and detect the target propagation network to determine the important node information, which is more beneficial to optimizing the selection of the key nodes on the propagation path, improving the stability and the security of the nodes, and further facilitating the behavioral to perform accurate propagation by using the nodes.
In yet another alternative embodiment, as shown in fig. 4, the set of important node information further includes a second probe signal;
the second processing submodule 3022 processes the important node information set to obtain a target internal node information set in the specific manner:
judging whether a second detection signal is detected or not to obtain a third judgment result;
when the third judgment result is yes, screening out a standby propagation detection program matched with the propagation task type information from a preset standby propagation detection program set to serve as a target injection detection program;
scanning and detecting the target transmission network by using a target injection detection program to obtain a standby internal node information set;
screening the internal node information set to be used by using a preset internal node screening rule to obtain a first internal node information set;
judging whether the first internal node information set is consistent with the standby internal node information set or not to obtain a fourth judgment result;
and when the fourth judgment result is negative, determining a second internal node information set according to the standby internal node information set and the first internal node information set.
It can be seen that, by implementing the data processing apparatus for behavioral propagation described in fig. 4, the target internal node information set can be determined by the judgment of the second detection signal, the screening of the target injection detection program, and the comprehensive utilization of the internal node screening rules, which is more beneficial to optimizing the selection of the key nodes on the propagation path, improving the stability and the security of the nodes, and further facilitating the behavioral to perform accurate propagation by using the nodes.
In yet another alternative embodiment, as shown in fig. 4, after the second processing sub-module 3022 processes the important node information set to obtain the target internal node information set, the apparatus further includes:
the detection module 304 is configured to determine whether the node type information includes a second propagation node type, so as to obtain a fifth determination result;
when the fifth judgment result is yes, screening out a standby propagation detection program matched with the type of the second propagation node from a preset standby propagation detection program set to serve as a target return detection program;
scanning and detecting the target transmission network by using a target return detection program to obtain a boundary output node information set; the boundary output node information set comprises a plurality of pieces of boundary output node information; and the boundary output node information is used for indicating to transmit the relevant information of the behavior body in the target transmission network back.
It can be seen that, by implementing the data processing apparatus for behavioral propagation described in fig. 4, the boundary output node information can be obtained through the screening of the second propagation node type and the target backhaul detection process and the scanning detection of the target propagation network, which is more beneficial to optimizing the selection of the key nodes on the propagation path, improving the stability and the security of the nodes, and further facilitating the behavioral to perform accurate propagation by using the nodes.
In yet another alternative embodiment, as shown in fig. 4, the node information sets include network connectivity node information, and/or important node information sets, and/or target internal node information sets;
the second processing module 303 processes the node information set by using a preset path integration rule, and the specific way of obtaining the target propagation path information is as follows:
judging whether network connectivity node information exists in the node information set or not to obtain a connectivity judgment result;
when the connectivity judgment result is yes, processing the network connectivity node information to obtain a target connectivity node;
matching the important node information set and the target internal node information set to obtain a matched node set;
and processing the target connectivity node and the matching node set to obtain target propagation path information.
It can be seen that, by implementing the data processing apparatus for behavioral propagation described in fig. 4, node information can be obtained by detecting a propagation task request and comprehensively utilizing a node selection rule, and target propagation path information for instructing propagation of a behavioral is obtained by processing a path integration rule, which is beneficial to optimizing selection of key nodes on a propagation path, improving stability and security of nodes, and further facilitating accurate propagation of the behavioral by using the nodes.
Example four
Referring to fig. 5, fig. 5 is a schematic structural diagram of another data processing apparatus for behavioral propagation according to an embodiment of the present invention. The apparatus described in fig. 5 can be applied to a data processing system, such as a local server or a cloud server for data processing management of behavioral propagation, and the embodiment of the present invention is not limited thereto. As shown in fig. 5, the apparatus may include:
a memory 401 storing executable program code;
a processor 402 coupled with the memory 401;
the processor 402 calls the executable program code stored in the memory 401 for performing the steps in the data processing method for behavioral propagation described in embodiment one or embodiment two.
EXAMPLE five
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps in the data processing method for behavioral propagation described in the first embodiment or the second embodiment.
EXAMPLE six
The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to make a computer execute the steps in the data processing method for behavioral propagation described in the first embodiment or the second embodiment.
The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, where the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM), or other disk memories, CD-ROMs, or other magnetic disks, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
Finally, it should be noted that: the data processing method and apparatus for behavioral propagation disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, which are only used for illustrating the technical solutions of the present invention, and are not limited thereto; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A data processing method for behavioral propagation, the method comprising:
detecting whether a transmission task request is received;
when the transmission task request is received, processing the transmission task request by using a preset node selection rule to obtain a node information set; the node information set comprises M pieces of node information; m is a positive integer greater than or equal to 3;
processing the node information set by using a preset path integration rule to obtain target propagation path information; the target propagation path information is used for indicating propagation to a behavior body.
2. The data processing method for behavioral propagation according to claim 1, characterized in that the propagated task request includes a target propagation network, and/or propagated task type information;
the processing the propagation task request by using a preset node selection rule to obtain a node information set, including:
analyzing and processing the propagation task type information to obtain node type information; the node type information includes N propagation node types; n is a positive integer less than or equal to M;
and processing the node type information and the target propagation network to obtain a node information set.
3. The data processing method for behavioral propagation according to claim 2, characterized in that the propagation node type includes a first propagation node type, and/or a second propagation node type;
the processing the node type information and the target propagation network to obtain a node information set includes:
judging whether a first transmission node type exists in the node type information or not to obtain a first judgment result;
when the first judgment result is yes, calling a preset interface searching rule to process the target propagation network to obtain network connectivity node information; the network connectivity node information comprises network infrastructure type information;
when the first judgment result is negative, calling a preset network information search rule to process the target propagation network to obtain the network basic type information;
processing the network basic type information to obtain an important node information set; the important node information set comprises a plurality of important node information;
processing the important node information set to obtain a target internal node information set; the target internal node information set comprises a first internal node information set and/or a second internal node information set.
4. The data processing method for behavioral propagation according to claim 3, characterized in that the network infrastructure type information includes network type, and/or, first probe signal;
the processing the network basic type information to obtain an important node information set includes:
judging whether the first detection signal is detected or not to obtain a second judgment result;
when the second judgment result is yes, screening out a standby propagation detection program matched with the network type from a preset standby propagation detection program set to serve as a target forwarding detection program;
and scanning and detecting the target transmission network by using the target forwarding detection program to obtain an important node information set.
5. The data processing method for behavioral propagation according to claim 3, characterized in that the set of important node information further includes a second probe signal;
the processing the important node information set to obtain a target internal node information set includes:
judging whether the second detection signal is detected or not to obtain a third judgment result;
when the third judgment result is yes, screening out a standby propagation detection program matched with the propagation task type information from a preset standby propagation detection program set to serve as a target injection detection program;
scanning and detecting the target propagation network by using the target injection detection program to obtain a standby internal node information set;
screening the internal node information set to be used by using a preset internal node screening rule to obtain the first internal node information set;
judging whether the first internal node information set is consistent with the standby internal node information set or not to obtain a fourth judgment result;
and when the fourth judgment result is negative, determining the second internal node information set according to the standby internal node information set and the first internal node information set.
6. The data processing method for behavioral propagation according to claim 3, characterized in that after the processing the set of important node information to obtain a set of target internal node information, the method further comprises:
judging whether the second propagation node type exists in the node type information or not to obtain a fifth judgment result;
when the fifth judgment result is yes, screening out a standby propagation detection program matched with the type of the second propagation node from a preset standby propagation detection program set to serve as a target return detection program;
scanning and detecting the target transmission network by using the target return detection program to obtain a boundary output node information set; the boundary output node information set comprises a plurality of pieces of boundary output node information; and the boundary output node information is used for indicating to transmit back the related information of the behavior body transmitted in the target transmission network.
7. The data processing method for behavioral propagation according to claim 1, characterized in that the node information set comprises network connectivity node information, and/or a significant node information set, and/or a target internal node information set;
the processing the node information set by using a preset path integration rule to obtain target propagation path information includes:
judging whether the node information set has the network connectivity node information or not to obtain a connectivity judgment result;
when the connectivity judgment result is yes, processing the network connectivity node information to obtain a target connectivity node;
matching the important node information set and the target internal node information set to obtain a matched node set;
and processing the target connectivity node and the matching node set to obtain target propagation path information.
8. A data processing apparatus for behavioral propagation, the apparatus comprising:
the detection module is used for detecting whether a task transmission request is received or not;
the first processing module is used for processing the spreading task request by utilizing a preset node selection rule when the spreading task request is received, so as to obtain a node information set; the node information set comprises M pieces of node information; m is a positive integer greater than or equal to 3;
the second processing module is used for processing the node information set by using a preset path integration rule to obtain target propagation path information; the target propagation path information is used for indicating propagation to a behavior body.
9. A data processing apparatus for behavioral propagation, the apparatus comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the data processing method for behavioral propagation according to any one of claims 1 to 7.
10. A computer-storable medium that stores computer instructions for performing the data processing method for behavioral propagation according to any one of claims 1 to 7 when invoked.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120233308A1 (en) * | 2011-03-08 | 2012-09-13 | Van De Houten S Scott | Determining Network Node Performance Data Based on Location and Proximity of Nodes |
| US20130010803A1 (en) * | 2010-03-24 | 2013-01-10 | Syuuhei Yamaguchi | Packet forwarding system, control device, forwarding device and method and program for preparing processing rules |
| US20150023207A1 (en) * | 2013-07-19 | 2015-01-22 | The Pla Information Engineering University | Method and device for establishing structure of a communication network system |
| CN105138667A (en) * | 2015-09-07 | 2015-12-09 | 中南大学 | Social network initial key node selection method considering delay constraint |
| CN106685742A (en) * | 2017-03-02 | 2017-05-17 | 北京邮电大学 | Network fault diagnosing method and apparatus |
| US20190327175A1 (en) * | 2018-04-20 | 2019-10-24 | EMC IP Holding Company LLC | Methods, apparatuses and computer program products for transmitting data |
| CN111814065A (en) * | 2020-06-24 | 2020-10-23 | 平安科技（深圳）有限公司 | Information propagation path analysis method and device, computer equipment and storage medium |
| WO2021008533A1 (en) * | 2019-07-18 | 2021-01-21 | 华为技术有限公司 | Method for determining path, and related device |
-
2021
- 2021-12-10 CN CN202111517894.8A patent/CN114205290B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130010803A1 (en) * | 2010-03-24 | 2013-01-10 | Syuuhei Yamaguchi | Packet forwarding system, control device, forwarding device and method and program for preparing processing rules |
| US20120233308A1 (en) * | 2011-03-08 | 2012-09-13 | Van De Houten S Scott | Determining Network Node Performance Data Based on Location and Proximity of Nodes |
| US20150023207A1 (en) * | 2013-07-19 | 2015-01-22 | The Pla Information Engineering University | Method and device for establishing structure of a communication network system |
| CN105138667A (en) * | 2015-09-07 | 2015-12-09 | 中南大学 | Social network initial key node selection method considering delay constraint |
| CN106685742A (en) * | 2017-03-02 | 2017-05-17 | 北京邮电大学 | Network fault diagnosing method and apparatus |
| US20190327175A1 (en) * | 2018-04-20 | 2019-10-24 | EMC IP Holding Company LLC | Methods, apparatuses and computer program products for transmitting data |
| WO2021008533A1 (en) * | 2019-07-18 | 2021-01-21 | 华为技术有限公司 | Method for determining path, and related device |
| CN111814065A (en) * | 2020-06-24 | 2020-10-23 | 平安科技（深圳）有限公司 | Information propagation path analysis method and device, computer equipment and storage medium |
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|---|---|
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