CN114679627B - Block chain-based on-demand data processing method and system - Google Patents

Block chain-based on-demand data processing method and system Download PDF

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CN114679627B
CN114679627B CN202210599761.8A CN202210599761A CN114679627B CN 114679627 B CN114679627 B CN 114679627B CN 202210599761 A CN202210599761 A CN 202210599761A CN 114679627 B CN114679627 B CN 114679627B
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request terminal
demand data
terminal device
block chain
data request
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CN114679627A (en
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阳序运
张寄望
张志聪
刘卓
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Guangzhou Zhuoyuan Virtual Reality Technology Co ltd
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Guangzhou Zhuoyuan Virtual Reality Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • H04N21/47202—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for requesting content on demand, e.g. video on demand
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/462—Content or additional data management, e.g. creating a master electronic program guide from data received from the Internet and a Head-end, controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
    • H04N21/4627—Rights management associated to the content
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Human Computer Interaction (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Computer And Data Communications (AREA)

Abstract

The invention provides a block chain-based on-demand data processing method and system, and relates to the technical field of block chains. In the invention, the request information of each request data request terminal device is obtained; for each request data request terminal device, determining a block chain node point device related to the request data request terminal device in a block chain system as a corresponding first block chain node point device; for each video-on-demand data request terminal device, determining a plurality of second block link point devices corresponding to the video-on-demand data request terminal device in other block link node devices except for a first block link point device corresponding to the video-on-demand data request terminal device included in a block link system, wherein the plurality of second block link point devices are used for verifying video-on-demand request information. Based on the method, the problem of low reliability of the safety verification of the on-demand data in the prior art can be solved.

Description

Block chain-based on-demand data processing method and system
Technical Field
The invention relates to the technical field of block chains, in particular to a block chain-based on-demand data processing method and system.
Background
The implementation process of video on demand generally includes: when a user sends a request for requesting, the streaming media service system (server) will search out the program information stored in the film source library according to the request for requesting, and transmit the video and audio streaming files to the user terminal equipment through the high-speed transmission network for playing, etc. In the prior art, after receiving the on-demand information, the user terminal device is generally verified to determine whether the user terminal device has the right to acquire the corresponding audio/video file. However, since the verification of the user terminal device is generally performed based on the streaming media server itself, the audio/video file is easily leaked, which causes a serious loss, that is, in the prior art, there is a problem that the reliability of the security verification of the on-demand request is not high.
Disclosure of Invention
In view of the above, the present invention provides a block chain-based on-demand data processing method and system to solve the problem of low reliability of security verification of on-demand data in the prior art.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
a block chain-based on-demand data processing method is applied to an on-demand data processing server, the on-demand data processing server is in communication connection with a block chain system comprising a plurality of block chain node devices, and the block chain-based on-demand data processing method comprises the following steps:
acquiring on-demand request information sent by each on-demand data request terminal device;
for each on-demand data request terminal device, determining a block chain node device related to the on-demand data request terminal device in the block chain system as a first block chain node device corresponding to the on-demand data request terminal device;
for each piece of on-demand data request terminal equipment, determining a plurality of second piece of block chain node equipment corresponding to the on-demand data request terminal equipment in other piece of block chain node equipment except for first piece of block chain node equipment corresponding to the on-demand data request terminal equipment in the block chain system, wherein the plurality of second piece of block chain node equipment are used for verifying the on-demand request information and sending an obtained request verification result to the on-demand data processing server, and the on-demand data processing server is used for determining whether to send a corresponding target on-demand number to the corresponding on-demand data request terminal equipment based on the on-demand request information according to the request verification result.
In some preferred embodiments, in the block chain-based on-demand data processing method, the step of obtaining on-demand request information sent by each on-demand data request terminal device includes:
judging whether communication connection request information sent by any terminal equipment is acquired;
after the communication connection request information sent by the terminal equipment is acquired, verifying the communication connection request information to obtain a corresponding communication verification processing result;
and determining whether to establish communication connection with the terminal equipment or not based on the communication verification processing result, determining the terminal equipment as on-demand data request terminal equipment of the communication connection after establishing the communication connection with the terminal equipment, and acquiring the on-demand request information after the on-demand data request terminal equipment sends the on-demand request information, wherein if the communication verification processing result represents that the verification processing is passed, the communication connection with the terminal equipment is established.
In some preferred embodiments, in the block chain-based on-demand data processing method, after the communication connection request information sent by the terminal device is obtained, the step of performing verification processing on the communication connection request information to obtain a corresponding communication verification processing result includes:
after communication connection request information sent by the terminal equipment is acquired, analyzing the communication connection request information to obtain equipment identity information and network address information which are carried by the communication connection request information and correspond to the terminal equipment;
determining whether the equipment identity information belongs to a preconfigured target equipment identity set or not, and determining whether the network address information belongs to a preconfigured target network address set or not, wherein equipment corresponding to each equipment identity included in the target equipment identity set belongs to abnormal equipment, and each network address included in the target network address set belongs to an abnormal network address;
if the equipment identity information belongs to the target equipment identity set and/or the network address information belongs to the target network address set, obtaining a corresponding first communication verification processing result, wherein the first communication verification processing result represents that the verification processing fails;
and if the equipment identity information does not belong to the target equipment identity set and the network address information does not belong to the target network address set, obtaining a corresponding second communication verification processing result, wherein the second communication verification processing result represents that the verification processing is passed.
In some preferred embodiments, in the block chain-based on-demand data processing method, for each on-demand data request terminal device, the step of determining, in the block chain system, a block chain node device related to the on-demand data request terminal device as a first block chain node device corresponding to the on-demand data request terminal device includes:
for each on-demand data request terminal device, respectively determining the correlation degree between the on-demand data request terminal device and each block chain node device in the block chain system to obtain a plurality of device correlation degrees corresponding to the on-demand data request terminal device;
for each on-demand data request terminal device, determining the device correlation degree with the maximum value from a plurality of device correlation degrees corresponding to the on-demand data request terminal device as a target device correlation degree corresponding to the on-demand data request terminal device;
and determining the block chain node point device corresponding to the target device correlation degree corresponding to the on-demand data request terminal device as a first block chain node point device corresponding to the on-demand data request terminal device for each on-demand data request terminal device.
In some preferred embodiments, in the block chain-based on-demand data processing method, the step of determining, for each on-demand data request terminal device, a correlation degree between the on-demand data request terminal device and each block chain link point device in the block chain system, and obtaining correlation degrees of multiple devices corresponding to the on-demand data request terminal device includes:
for each on-demand data request terminal device, respectively determining the times of each block chain node device in the block chain system historically serving as a historical first block chain node device corresponding to the on-demand data request terminal device, and obtaining the statistical times of each block chain node device in the block chain system and the historical device corresponding to the on-demand data request terminal device;
for each on-demand data request terminal device, determining a first device correlation coefficient between each block link point device in the block chain system and the on-demand data request terminal device based on the statistical frequency of each block link point device in the block chain system and the historical device corresponding to the on-demand data request terminal device, wherein the first device correlation coefficient and the historical device statistical frequency have a positive correlation;
and for each on-demand data request terminal device, determining the device correlation degree between each block chain node point device and the on-demand data request terminal device based on a first device correlation coefficient between each block chain node point device and the on-demand data request terminal device, and obtaining a plurality of device correlation degrees corresponding to the on-demand data request terminal device.
In some preferred embodiments, in the block chain-based on-demand data processing method, the step of determining, for each on-demand data request terminal device, a device correlation degree between each block link point device and the on-demand data request terminal device based on a first device correlation coefficient between each block link point device and the on-demand data request terminal device, and obtaining multiple device correlation degrees corresponding to the on-demand data request terminal device includes:
for each on-demand data request terminal device, respectively acquiring a device interaction data volume between the on-demand data request terminal device and each block chain node device in the block chain system, and respectively determining a second device correlation coefficient between the on-demand data request terminal device and each block chain node device based on the device interaction data volume between the on-demand data request terminal device and each block chain node device in the block chain system, wherein the second device correlation coefficient and the device interaction data volume have a positive correlation;
and for each on-demand data request terminal device, respectively carrying out fusion processing on the first device correlation coefficient and the second device correlation coefficient between the on-demand data request terminal device and each block link point device in the block chain system to obtain the device correlation degree between each block link point device and the on-demand data request terminal device so as to obtain a plurality of device correlation degrees corresponding to the on-demand data request terminal device.
In some preferred embodiments, in the block chain-based on-demand data processing method, the step of obtaining, for each on-demand data request terminal device, a device interaction data amount between the on-demand data request terminal device and each block link point device in the block chain system, and determining, based on the device interaction data amount between the on-demand data request terminal device and each block link point device in the block chain system, a second device correlation coefficient between the on-demand data request terminal device and each block link point device includes:
for each on-demand data request terminal device, respectively obtaining a device interaction data volume between the on-demand data request terminal device and each block chain node device in the block chain system from the on-demand data request terminal device to obtain a corresponding first device interaction data volume;
for each on-demand data request terminal device, respectively acquiring a device interaction data volume between the block chain node device and the on-demand data request terminal device from each block chain node device in the block chain system to obtain a corresponding second device interaction data volume;
respectively determining whether the interactive data volume of first equipment and the interactive data volume of second equipment between each video-on-demand data request terminal equipment and each block chain node equipment in the block chain system are the same or not aiming at each video-on-demand data request terminal equipment;
for each on-demand data request terminal device, respectively determining each block chain node device in the block chain system, which has the same first device interactive data volume and second device interactive data volume with the on-demand data request terminal device, as a third block chain node device corresponding to the on-demand data request terminal device, and respectively determining each block chain node device in the block chain system, which has different first device interactive data volume and second device interactive data volume with the on-demand data request terminal device, as a fourth block chain node device corresponding to the on-demand data request terminal device;
and for each video-on-demand data request terminal device, assigning a second device correlation coefficient between the video-on-demand data request terminal device and each corresponding third block chain node device to be a first preset value, and determining a second device correlation coefficient between the video-on-demand data request terminal device and each corresponding fourth block chain node device based on a second device interaction data volume between the video-on-demand data request terminal device and each corresponding fourth block chain node device, wherein the second device correlation coefficient and the second device interaction data volume have a positive correlation relationship.
In some preferred embodiments, in the block chain-based on-demand data processing method, for each of the on-demand data request terminal devices, in block chain node devices other than a first block chain node device corresponding to the on-demand data request terminal device included in the block chain system, the step of determining a plurality of second block chain node devices corresponding to the on-demand data request terminal device includes:
for each on-demand data request terminal device, respectively acquiring a device interaction data set between the other block link point device and the on-demand data request terminal device from each other block link node device except for a first block link point device corresponding to the on-demand data request terminal device included in the block chain system, wherein the device interaction data set includes each piece of historical interaction data between the other block link point device and the on-demand data request terminal device;
aiming at each on-demand data request terminal device, respectively executing device interaction compactness calculation operation based on a device interaction data set between the on-demand data request terminal device and the corresponding other block chain node point device to obtain device interaction compactness between the on-demand data request terminal device and each corresponding other block chain node point device;
and aiming at each request data request terminal device, determining a preset number of other block chain link point devices with the minimum corresponding device interaction compactness from the other block chain link point devices corresponding to the request data request terminal device as corresponding second block chain link point devices.
In some preferred embodiments, in the above method for processing on-demand data based on a blockchain, the device interaction affinity calculating operation includes:
classifying historical interactive data included in the equipment interactive data set to obtain a corresponding first classification set and a corresponding second classification set, wherein each piece of first historical interactive data included in the first classification set is sent to corresponding other block chain node equipment based on the on-demand data request terminal equipment, and each piece of second historical interactive data included in the second classification set is sent to corresponding on-demand data request terminal equipment based on the other block chain node equipment;
obtaining each piece of historical interactive data formed by historical interaction between at least one historical on-demand data request terminal device and at least one corresponding historical second block link point device, using the historical interactive data as historical interactive reference data, constructing and forming a corresponding historical reference data set based on the historical interactive reference data, clustering the historical reference data set to obtain a plurality of clustering centers corresponding to the historical reference data set, and determining a plurality of pieces of historical interactive reference data corresponding to the clustering centers as a plurality of corresponding pieces of first historical interactive reference data;
for each piece of first historical interaction data in the first classification set, respectively calculating data similarity between the first historical interaction data and each piece of first historical interaction reference data, determining the data similarity with the maximum value as target data similarity corresponding to the first historical interaction data, and determining the first historical interaction reference data corresponding to the target data similarity as target first historical interaction reference data corresponding to the first historical interaction data;
for each piece of second historical interaction data in the second classification set, respectively calculating data similarity between the second historical interaction data and each piece of first historical interaction reference data, determining the data similarity with the maximum value as target data similarity corresponding to the second historical interaction data, and determining the first historical interaction reference data corresponding to the target data similarity as target first historical interaction reference data corresponding to the second historical interaction data;
determining each historical data combination, counting the number of the historical data combinations to obtain a corresponding combination statistical number, and calculating a product between target data similarities corresponding to the first historical interaction data and the second historical interaction data included in the historical data combination aiming at each historical data combination to obtain a similarity product corresponding to the historical data combination, wherein each historical data combination includes a corresponding piece of first historical interaction data and a corresponding piece of second historical interaction data, and the first historical interaction data included in each historical data combination is the same as the target first historical interaction reference data corresponding to the second historical interaction data;
and calculating the average value of the similarity product corresponding to each historical data combination, and determining the equipment interaction closeness between the on-demand data request terminal equipment and the corresponding other block chain node equipment based on the average value and the combined statistical number.
An embodiment of the present invention further provides a block chain-based on-demand data processing system, which is applied to an on-demand data processing server, where the on-demand data processing server is communicatively connected to a block chain system including a plurality of block chain node devices, and the block chain-based on-demand data processing system includes:
the on-demand data processing server is used for sending target on-demand data to the on-demand data request terminal equipment;
a first node device determining module, configured to determine, for each on-demand data request terminal device, a block link point device related to the on-demand data request terminal device in the block chain system, as a first block link point device corresponding to the on-demand data request terminal device;
a second node device determining module, configured to determine, for each on-demand data request terminal device, a plurality of second block link point devices corresponding to the on-demand data request terminal device in other block link node devices other than a first block link point device corresponding to the on-demand data request terminal device included in the block link system, where the plurality of second block link point devices are configured to verify the on-demand request information and send an obtained request verification result to the on-demand data processing server, and the on-demand data processing server is configured to determine, according to the request verification result, whether to send corresponding target on-demand data to the corresponding on-demand data request terminal device based on the on-demand request information.
The on-demand data processing method and system based on the block chain provided by the embodiment of the invention can firstly obtain on-demand request information sent by each on-demand data request terminal device, then, for each on-demand data request terminal device, determine the block chain link point device related to the on-demand data request terminal device in the block chain system as the corresponding first block chain link point device, so that for each on-demand data request terminal device, in other block chain node devices except the first block chain link point device corresponding to the on-demand data request terminal device included in the block chain system, a plurality of second block chain link point devices corresponding to the on-demand data request terminal device are determined, thereby ensuring that the reliability of the second block chain link point device used for verifying the on-demand request information is relatively high, and further the problem of low reliability of the security verification of the unicast data in the prior art is solved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
Fig. 1 is a block diagram of an on-demand data processing server according to an embodiment of the present invention.
Fig. 2 is a schematic flowchart of steps included in the block chain-based on-demand data processing method according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of modules included in the block chain-based on-demand data processing system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
As shown in fig. 1, an embodiment of the present invention provides an on-demand data processing server. Wherein the on-demand data processing server may include a memory and a processor.
In detail, the memory and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, they may be electrically connected to each other via one or more communication buses or signal lines. The memory can have at least one software functional module (computer program) stored therein, which can be in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the block chain-based on-demand data processing method provided by the embodiment of the present invention (as described later).
For example, in some possible embodiments, the Memory may be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Read-Only Memory (EPROM), electrically Erasable Read-Only Memory (EEPROM), and the like. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), a System on Chip (SoC), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.
Also, the structure shown in fig. 1 is only an illustration, and the on-demand data processing server may further include more or fewer components than those shown in fig. 1, or have a different configuration from that shown in fig. 1, for example, may include a communication unit for information interaction with other devices.
With reference to fig. 2, an embodiment of the present invention further provides a block chain-based on-demand data processing method, which is applicable to the on-demand data processing server. The method steps defined by the flow related to the block chain-based on-demand data processing method can be realized by the on-demand data processing server. And the on-demand data processing server is connected with a block chain system comprising a plurality of block chain node devices in a communication way. The blockchain node device may include, but is not limited to, a terminal device such as a mobile phone, a computer, a tablet computer, and the like, and a server, and the like.
The specific process shown in fig. 2 will be described in detail below.
Step S110, obtain the on-demand request information sent by each on-demand data request terminal device.
In the embodiment of the present invention, the on-demand data processing server may obtain on-demand request information sent by each on-demand data request terminal device.
Step S120, for each on-demand data request terminal device, determining a block link point device related to the on-demand data request terminal device in the block chain system, as a first block link point device corresponding to the on-demand data request terminal device.
In the embodiment of the present invention, the on-demand data processing server may determine, for each on-demand data request terminal device, a block link point device related to the on-demand data request terminal device in the block chain system, as a first block link point device corresponding to the on-demand data request terminal device.
Step S130, for each on-demand data request terminal device, determining a plurality of second block link point devices corresponding to the on-demand data request terminal device in other block link node devices except the first block link point device corresponding to the on-demand data request terminal device included in the block link system.
In this embodiment of the present invention, for each piece of on-demand data request terminal equipment, the on-demand data processing server may determine, in other block chain node equipment other than the first block chain node equipment corresponding to the on-demand data request terminal equipment included in the block chain system, a plurality of second block chain node equipment corresponding to the on-demand data request terminal equipment. The plurality of second block link point devices are configured to verify the on-demand request information and send an obtained request verification result to the on-demand data processing server, where the on-demand data processing server is configured to determine whether to send corresponding target on-demand data to a corresponding on-demand data request terminal device based on the on-demand request information according to the request verification result (for example, after each second block link point device requests verification, the corresponding target on-demand data is sent to the corresponding on-demand data request terminal device, and each second block link point device needs to record the on-demand request information).
Based on this, the on-demand request information sent by each on-demand data request terminal device is obtained first, then, for each on-demand data request terminal device, block chain link point devices related to the on-demand data request terminal device are determined in the block chain system and serve as corresponding first block chain link point devices, so that a plurality of second block chain link point devices corresponding to the on-demand data request terminal device can be determined in other block chain node devices except the first block chain link point device corresponding to the on-demand data request terminal device included in the block chain system, and therefore the reliability of the second block chain link point devices used for verifying the on-demand data request information is relatively high, and the problem that the reliability of the on-demand data security verification in the prior art is not high is solved.
For example, in some possible embodiments, step S110 may include the following steps:
firstly, judging whether communication connection request information sent by any terminal equipment is acquired;
secondly, after the communication connection request information sent by the terminal equipment is obtained, verifying the communication connection request information to obtain a corresponding communication verification processing result;
then, whether communication connection is established between the terminal equipment or not is determined based on the communication verification processing result, after the communication connection is established between the terminal equipment and the terminal equipment, the terminal equipment is determined to be on-demand data request terminal equipment of the communication connection, after on-demand request information is sent by the on-demand data request terminal equipment, the on-demand request information is obtained, and if the communication verification processing result represents that verification processing is passed, the communication connection is established between the terminal equipment and the on-demand data request terminal equipment.
For example, in some possible embodiments, the step of performing verification processing on the communication connection request information after the communication connection request information sent by the terminal device is acquired, to obtain a corresponding communication verification processing result may include the following steps:
firstly, after communication connection request information sent by the terminal equipment is acquired, analyzing the communication connection request information to obtain equipment identity information and network address information which are carried by the communication connection request information and correspond to the terminal equipment;
secondly, determining whether the equipment identity information belongs to a preset target equipment identity set or not, and determining whether the network address information belongs to a preset target network address set or not, wherein equipment corresponding to each equipment identity included in the target equipment identity set belongs to abnormal equipment, and each network address included in the target network address set belongs to an abnormal network address;
then, if the device identity information belongs to the target device identity set and/or the network address information belongs to the target network address set, obtaining a corresponding first communication verification processing result, wherein the first communication verification processing result represents that the verification processing fails;
and finally, if the equipment identity information does not belong to the target equipment identity set and the network address information does not belong to the target network address set, obtaining a corresponding second communication verification processing result, wherein the second communication verification processing result represents that the verification processing is passed.
For example, in some possible embodiments, step S120 may include the following steps:
firstly, respectively determining the correlation degree between the on-demand data request terminal equipment and each block chain node equipment in the block chain system aiming at each on-demand data request terminal equipment to obtain the correlation degrees of a plurality of equipment corresponding to the on-demand data request terminal equipment;
secondly, aiming at each request data request terminal device, determining the device correlation degree with the maximum value as the target device correlation degree corresponding to the request data request terminal device in the multiple device correlation degrees corresponding to the request data request terminal device;
then, for each on-demand data request terminal device, determining the block link point device corresponding to the target device correlation degree corresponding to the on-demand data request terminal device as the first block link point device corresponding to the on-demand data request terminal device.
For example, in some possible embodiments, the step of determining, for each on-demand data request terminal device, a correlation degree between the on-demand data request terminal device and each block-link point device in the block chain system, and obtaining a correlation degree of multiple devices corresponding to the on-demand data request terminal device, may include the following steps:
firstly, for each on-demand data request terminal device, respectively determining the frequency of each block chain node device in the block chain system as a historical first block chain node device corresponding to the on-demand data request terminal device in history, and obtaining the statistical frequency of each block chain node device in the block chain system and the historical device corresponding to the on-demand data request terminal device;
secondly, for each on-demand data request terminal device, determining a first device correlation coefficient between each block link point device in the block chain system and the on-demand data request terminal device respectively based on the statistical frequency of each block link point device in the block chain system and the historical device corresponding to the on-demand data request terminal device, wherein the first device correlation coefficient and the historical device statistical frequency have positive correlation;
then, for each on-demand data request terminal device, determining a device correlation degree between each block chain node point device and the on-demand data request terminal device based on a first device correlation coefficient between each block chain node point device and the on-demand data request terminal device, respectively, to obtain multiple device correlation degrees corresponding to the on-demand data request terminal device.
For example, in some possible embodiments, the step of determining, for each on-demand data request terminal device, a device correlation degree between each block-link point device and the on-demand data request terminal device based on a first device correlation coefficient between each block-link point device and the on-demand data request terminal device, to obtain multiple device correlation degrees corresponding to the on-demand data request terminal device may include the following steps:
firstly, aiming at each video-on-demand data request terminal device, respectively acquiring a device interaction data volume between the video-on-demand data request terminal device and each block chain point device in the block chain system, and respectively determining a second device correlation coefficient between the video-on-demand data request terminal device and each block chain point device based on the device interaction data volume between the video-on-demand data request terminal device and each block chain point device in the block chain system, wherein the second device correlation coefficient and the device interaction data volume have positive correlation;
secondly, for each on-demand data request terminal device, respectively performing fusion processing on the first device correlation coefficient and the second device correlation coefficient between the on-demand data request terminal device and each block chain node device in the block chain system to obtain the device correlation degree between each block chain node device and the on-demand data request terminal device, so as to obtain a plurality of device correlation degrees corresponding to the on-demand data request terminal device.
For example, in some possible embodiments, the step of obtaining, for each on-demand data request terminal device, a device interaction data amount between the on-demand data request terminal device and each block link point device in the block chain system, and determining, based on the device interaction data amount between the on-demand data request terminal device and each block link point device in the block chain system, a second device correlation coefficient between the on-demand data request terminal device and each block link point device may include the following steps:
firstly, aiming at each on-demand data request terminal device, respectively obtaining a device interaction data volume between the on-demand data request terminal device and each block chain node device in the block chain system from the on-demand data request terminal device to obtain a corresponding first device interaction data volume;
secondly, for each on-demand data request terminal device, respectively obtaining a device interaction data volume between the block chain node device and the on-demand data request terminal device from each block chain node device in the block chain system to obtain a corresponding second device interaction data volume;
then, respectively determining whether the interactive data volume of the first device and the interactive data volume of the second device between each request data request terminal device and each block chain node device in the block chain system are the same or not aiming at each request data request terminal device;
then, for each on-demand data request terminal device, respectively determining each block chain node device in the block chain system, which has the same first device interactive data amount and second device interactive data amount with the on-demand data request terminal device, as a third block chain node device corresponding to the on-demand data request terminal device, and respectively determining each block chain node device in the block chain system, which has different first device interactive data amount and second device interactive data amount with the on-demand data request terminal device, as a fourth block chain node device corresponding to the on-demand data request terminal device;
finally, for each piece of on-demand data request terminal equipment, assigning a second equipment correlation coefficient between the on-demand data request terminal equipment and each corresponding third block chain node equipment to be a first preset value (for example, a maximum value among all second equipment correlation coefficients), and determining a second equipment correlation coefficient between the on-demand data request terminal equipment and each corresponding fourth block chain node equipment based on a second equipment interaction data volume between the on-demand data request terminal equipment and each corresponding fourth block chain node equipment, wherein a positive correlation relationship exists between the second equipment correlation coefficient and the second equipment interaction data volume.
For example, in some possible embodiments, the step of fusing, for each on-demand data request terminal device, the first device correlation coefficient and the second device correlation coefficient between the on-demand data request terminal device and each block-link point device in the block chain system to obtain the device correlation degree between each block-link point device and the on-demand data request terminal device, so as to obtain multiple device correlation degrees corresponding to the on-demand data request terminal device, may include the following steps:
firstly, a first weighting coefficient configured for the first device correlation coefficient is obtained, and a second weighting coefficient configured for the second device correlation coefficient is obtained, wherein the first weighting coefficient is smaller than the second weighting coefficient, and the sum of the first weighting coefficient and the second weighting coefficient is 1;
secondly, for each on-demand data request terminal device, respectively performing weighted summation calculation processing on the first device correlation coefficient and the second device correlation coefficient between the on-demand data request terminal device and each block link point device in the block chain system based on the first weighting coefficient and the second weighting coefficient to obtain the device correlation degree between each block link point device and the on-demand data request terminal device, so as to obtain a plurality of device correlation degrees corresponding to the on-demand data request terminal device.
For example, in some possible embodiments, step S130 may include the following steps:
firstly, for each on-demand data request terminal device, respectively acquiring a device interaction data set between the other block link point device and the on-demand data request terminal device from each other block link node device except for a first block link point device corresponding to the on-demand data request terminal device included in the block chain system, wherein the device interaction data set comprises each piece of historical interaction data between the other block link point device and the on-demand data request terminal device;
secondly, aiming at each on-demand data request terminal device, respectively executing device interaction compactness calculation operation based on a device interaction data set between the on-demand data request terminal device and the corresponding other block chain node device to obtain device interaction compactness between the on-demand data request terminal device and the corresponding other block chain node device;
then, for each on-demand data request terminal device, determining a preset number of other block chain link point devices with the minimum device interaction closeness from the other block chain link point devices corresponding to the on-demand data request terminal device, and using the other block chain link point devices as corresponding second block chain link point devices.
For example, in some possible embodiments, the device interaction affinity calculating operation in the above embodiments may include the following steps:
firstly, classifying historical interactive data included in the equipment interactive data set to obtain a corresponding first classification set and a corresponding second classification set, wherein each piece of first historical interactive data included in the first classification set is sent to corresponding other block chain node equipment based on the on-demand data request terminal equipment, and each piece of second historical interactive data included in the second classification set is sent to corresponding on-demand data request terminal equipment based on the other block chain node equipment;
secondly, obtaining each piece of historical interactive data formed by historical interaction between at least one historical on-demand data request terminal device and at least one corresponding historical second block link point device, using the historical interactive data as historical interactive reference data, constructing and forming a corresponding historical reference data set based on the historical interactive reference data, clustering the historical reference data set to obtain a plurality of clustering centers corresponding to the historical reference data set, and determining a plurality of pieces of historical interactive reference data corresponding to the clustering centers as a plurality of corresponding first pieces of historical interactive reference data;
then, for each piece of first historical interaction data in the first classification set, respectively calculating data similarity between the first historical interaction data and each piece of first historical interaction reference data, determining the data similarity with the maximum value as target data similarity corresponding to the first historical interaction data, and determining the first historical interaction reference data corresponding to the target data similarity as target first historical interaction reference data corresponding to the first historical interaction data;
then, for each piece of second historical interaction data in the second classification set, respectively calculating data similarity between the second historical interaction data and each piece of first historical interaction reference data, determining the data similarity with the maximum value as target data similarity corresponding to the second historical interaction data, and determining the first historical interaction reference data corresponding to the target data similarity as target first historical interaction reference data corresponding to the second historical interaction data;
further, determining each historical data combination, counting the number of the historical data combinations to obtain a corresponding combination statistical number, and calculating a product between target data similarities corresponding to the first historical interaction data and the second historical interaction data included in each historical data combination to obtain a similarity product corresponding to the historical data combination, wherein each historical data combination includes a corresponding piece of the first historical interaction data and a piece of the second historical interaction data, and the target first historical interaction reference data corresponding to the first historical interaction data and the second historical interaction data included in each historical data combination is the same;
and finally, calculating an average value of similarity products corresponding to each historical data combination, and determining the equipment interaction compactness between the on-demand data request terminal equipment and the corresponding other block link point equipment based on the average value and the combination statistical number (for example, determining a first coefficient of positive correlation based on the average value, determining a second coefficient of positive correlation based on the combination statistical number, and then calculating a weighted sum value of the first coefficient and the second coefficient to obtain the equipment interaction compactness).
For example, in other possible embodiments, the device interaction closeness calculation operation in the above embodiments may include the following steps:
firstly, classifying each piece of historical interactive data included in the equipment interactive data set to obtain a first classification set and a second classification set corresponding to the equipment interactive data set, wherein each piece of first historical interactive data included in the first classification set is sent to the corresponding other block chain node equipment based on the on-demand data request terminal equipment, and each piece of second historical interactive data included in the second classification set is sent to the corresponding on-demand data request terminal equipment based on the other block chain node equipment;
secondly, obtaining each piece of historical interactive data formed by historically interacting at least one historical request data request terminal device and at least one corresponding historical second block chain node device, using the historical interactive data as historical interactive reference data, and constructing and forming a corresponding historical reference data set based on the historical interactive reference data;
then, forming a first data combination based on a piece of first historical interactive data arbitrarily selected from the first classification set and a piece of historical interactive reference data arbitrarily selected from the historical reference data set, forming a first data combination based on executing the step of forming the first data combination for multiple times based on the piece of first historical interactive data arbitrarily selected from the first classification set and the piece of historical interactive reference data arbitrarily selected from the historical reference data set, obtaining a plurality of corresponding first data combinations, and forming a corresponding first data combination set based on the plurality of first data combinations;
then, forming a second data combination based on a second historical interaction data arbitrarily selected from the second classification set and a historical interaction reference data arbitrarily selected from the historical reference data set, forming a second data combination based on executing the step of forming the second data combination based on the second historical interaction data arbitrarily selected from the second classification set and the historical interaction reference data arbitrarily selected from the historical reference data set for multiple times, obtaining a plurality of corresponding second data combinations, and forming a corresponding second data combination set based on the second data combinations;
further, for each first data combination in the first data combination set, calculating a similarity between first historical interaction data and historical interaction reference data included in the first data combination to obtain a corresponding first data similarity, and for each second data combination in the second data combination set, calculating a similarity between second historical interaction data and historical interaction reference data included in the second data combination to obtain a corresponding second data similarity;
further, based on a pre-configured target quantity value, determining a corresponding number of first data combinations with the maximum corresponding first data similarity in the first data combination set as corresponding target first data combinations, and based on the target quantity value, determining a corresponding number of second data combinations with the maximum corresponding second data similarity in the second data combination set as corresponding target second data combinations;
a seventh step of determining, for each of the target first data combinations, whether at least one target second data combination including historical cross-reference data in the target first data combination exists, and when at least one target second data combination including historical cross-reference data in the target first data combination exists, determining the target first data combination as a related target first data combination, and counting the number of the related target first data combinations to obtain a corresponding related combination statistical number, and determining a first affinity coefficient based on the related combination statistical number and the target quantity value, where the first affinity coefficient has a positive correlation with the related combination statistical number, and the first affinity coefficient has a negative correlation with the target quantity value;
eighthly, calculating a product between first data similarity corresponding to each related target first data combination and second data similarity corresponding to a target second data combination corresponding to the related target first data combination aiming at each related target first data combination to obtain a similarity product corresponding to the related target first data combination, and determining a second compactness coefficient based on the similarity product (such as an average value and the like) corresponding to each related target first data combination, wherein the second compactness coefficient and the similarity product have a positive correlation;
and finally, determining the equipment interaction closeness between the on-demand data request terminal equipment and the corresponding other block chain node equipment based on the first closeness coefficient and the second closeness coefficient (such as a way of calculating a weighted sum value and the like).
With reference to fig. 3, an embodiment of the present invention further provides a block chain-based on-demand data processing system, which is applicable to the on-demand data processing server. The block chain-based on-demand data processing system may include the following modules:
the on-demand data processing server is used for sending target on-demand data to the on-demand data request terminal equipment;
a first node device determining module, configured to determine, for each on-demand data request terminal device, a block link point device related to the on-demand data request terminal device in the block chain system, where the block link point device is used as a first block link point device corresponding to the on-demand data request terminal device;
a second node device determining module, configured to determine, for each on-demand data request terminal device, a plurality of second block link point devices corresponding to the on-demand data request terminal device in other block link node devices other than a first block link point device corresponding to the on-demand data request terminal device included in the block link system, where the plurality of second block link point devices are configured to verify the on-demand request information and send an obtained request verification result to the on-demand data processing server, and the on-demand data processing server is configured to determine, according to the request verification result, whether to send a corresponding target point to the corresponding on-demand data request terminal device based on the on-demand request information.
In summary, according to the on-demand data processing method and system based on the block chain provided by the present invention, on-demand request information sent by each on-demand data request terminal device can be obtained first, and then, for each on-demand data request terminal device, a block chain node device related to the on-demand data request terminal device is determined in the block chain system as a corresponding first block chain node device, so that for each on-demand data request terminal device, a plurality of second block chain node devices corresponding to the on-demand data request terminal device are determined in other block chain node devices except the first block chain node device corresponding to the on-demand data request terminal device included in the block chain system, thereby ensuring that the reliability of the second block chain node device for verifying the on-demand request information is relatively high, and further the problem of low reliability of the security verification of the unicast data in the prior art is solved.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. A block chain-based on-demand data processing method is applied to an on-demand data processing server, the on-demand data processing server is in communication connection with a block chain system comprising a plurality of block chain node devices, and the block chain-based on-demand data processing method comprises the following steps:
acquiring on-demand request information sent by each on-demand data request terminal device;
for each on-demand data request terminal device, determining a block chain node device related to the on-demand data request terminal device in the block chain system as a first block chain node device corresponding to the on-demand data request terminal device;
for each on-demand data request terminal device, determining a plurality of second block link point devices corresponding to the on-demand data request terminal device in other block link node devices except for a first block link point device corresponding to the on-demand data request terminal device included in the block link system, wherein the plurality of second block link point devices are used for verifying the on-demand request information and sending an obtained request verification result to the on-demand data processing server, and the on-demand data processing server is used for determining whether to send corresponding target on-demand data to the corresponding on-demand data request terminal device based on the on-demand request information according to the request verification result;
the step of determining, for each of the on-demand data request terminal devices, a plurality of second block link point devices corresponding to the on-demand data request terminal device in other block link node devices other than the first block link point device corresponding to the on-demand data request terminal device included in the block link system includes:
for each on-demand data request terminal device, respectively acquiring a device interaction data set between the other block link point device and the on-demand data request terminal device from each other block link node device except for a first block link point device corresponding to the on-demand data request terminal device included in the block chain system, wherein the device interaction data set includes each piece of historical interaction data between the other block link point device and the on-demand data request terminal device;
aiming at each on-demand data request terminal device, respectively executing device interaction compactness calculation operation based on a device interaction data set between the on-demand data request terminal device and the corresponding other block chain node point device to obtain device interaction compactness between the on-demand data request terminal device and each corresponding other block chain node point device;
and aiming at each request data request terminal device, determining a preset number of other block chain link point devices with the minimum corresponding device interaction compactness from the other block chain link point devices corresponding to the request data request terminal device as corresponding second block chain link point devices.
2. The block chain-based on-demand data processing method according to claim 1, wherein the step of obtaining on-demand request information sent by each on-demand data request terminal device includes:
judging whether communication connection request information sent by any terminal equipment is acquired;
after the communication connection request information sent by the terminal equipment is acquired, verifying the communication connection request information to obtain a corresponding communication verification processing result;
and determining whether to establish communication connection with the terminal equipment based on the communication verification processing result, determining the terminal equipment as on-demand data request terminal equipment of the communication connection after establishing the communication connection with the terminal equipment, and acquiring on-demand request information after the on-demand data request terminal equipment sends the on-demand request information, wherein if the communication verification processing result represents that the verification processing is passed, the communication connection with the terminal equipment is established.
3. The block chain-based on-demand data processing method according to claim 2, wherein the step of performing verification processing on the communication connection request information after the communication connection request information sent by the terminal device is acquired, to obtain a corresponding communication verification processing result, includes:
after communication connection request information sent by the terminal equipment is acquired, analyzing the communication connection request information to obtain equipment identity information and network address information which are carried by the communication connection request information and correspond to the terminal equipment;
determining whether the equipment identity information belongs to a preset target equipment identity set or not, and determining whether the network address information belongs to a preset target network address set or not, wherein equipment corresponding to each equipment identity included in the target equipment identity set belongs to abnormal equipment, and each network address included in the target network address set belongs to an abnormal network address;
if the equipment identity information belongs to the target equipment identity set and/or the network address information belongs to the target network address set, obtaining a corresponding first communication verification processing result, wherein the first communication verification processing result represents that the verification processing fails;
and if the equipment identity information does not belong to the target equipment identity set and the network address information does not belong to the target network address set, obtaining a corresponding second communication verification processing result, wherein the second communication verification processing result represents that the verification processing is passed.
4. The block chain-based on-demand data processing method according to claim 1, wherein the step of determining, for each on-demand data request terminal device, a block link point device associated with the on-demand data request terminal device in the block chain system as a first block link point device corresponding to the on-demand data request terminal device includes:
for each on-demand data request terminal device, respectively determining the correlation degree between the on-demand data request terminal device and each block chain node device in the block chain system to obtain a plurality of device correlation degrees corresponding to the on-demand data request terminal device;
for each on-demand data request terminal device, determining the device correlation degree with the maximum value as the target device correlation degree corresponding to the on-demand data request terminal device in the multiple device correlation degrees corresponding to the on-demand data request terminal device;
and for each on-demand data request terminal device, determining the block link point device corresponding to the target device correlation degree corresponding to the on-demand data request terminal device as a first block link point device corresponding to the on-demand data request terminal device.
5. The block chain-based on-demand data processing method according to claim 4, wherein the step of determining, for each on-demand data request terminal device, a correlation degree between the on-demand data request terminal device and each block link point device in the block chain system, respectively, to obtain a correlation degree of multiple devices corresponding to the on-demand data request terminal device, includes:
for each on-demand data request terminal device, respectively determining the times of each block chain node device in the block chain system historically serving as a historical first block chain node device corresponding to the on-demand data request terminal device, and obtaining the statistical times of each block chain node device in the block chain system and the historical device corresponding to the on-demand data request terminal device;
for each on-demand data request terminal device, determining a first device correlation coefficient between each block link point device in the block chain system and the on-demand data request terminal device based on the statistical frequency of each block link point device in the block chain system and the historical device corresponding to the on-demand data request terminal device, wherein the first device correlation coefficient and the historical device statistical frequency have a positive correlation;
and for each on-demand data request terminal device, determining the device correlation degree between each block chain node point device and the on-demand data request terminal device based on a first device correlation coefficient between each block chain node point device and the on-demand data request terminal device, and obtaining a plurality of device correlation degrees corresponding to the on-demand data request terminal device.
6. The block chain-based on-demand data processing method according to claim 5, wherein the step of determining, for each on-demand data request terminal device, a device correlation degree between each block link point device and the on-demand data request terminal device based on a first device correlation coefficient between each block link point device and the on-demand data request terminal device, to obtain multiple device correlation degrees corresponding to the on-demand data request terminal device, includes:
for each on-demand data request terminal device, respectively acquiring a device interaction data volume between the on-demand data request terminal device and each block chain node device in the block chain system, and respectively determining a second device correlation coefficient between the on-demand data request terminal device and each block chain node device based on the device interaction data volume between the on-demand data request terminal device and each block chain node device in the block chain system, wherein the second device correlation coefficient and the device interaction data volume have a positive correlation;
and for each video-on-demand data request terminal device, respectively fusing the first device correlation coefficient and the second device correlation coefficient between the video-on-demand data request terminal device and each block link point device in the block chain system to obtain the device correlation degree between each block link point device and the video-on-demand data request terminal device, so as to obtain a plurality of device correlation degrees corresponding to the video-on-demand data request terminal device.
7. The block chain-based on-demand data processing method according to claim 6, wherein the step of obtaining, for each on-demand data request terminal device, a device interaction data amount between the on-demand data request terminal device and each block link point device in the block chain system, and determining, based on the device interaction data amount between the on-demand data request terminal device and each block link point device in the block chain system, a second device correlation coefficient between the on-demand data request terminal device and each block link point device, includes:
for each on-demand data request terminal device, respectively obtaining a device interaction data volume between the on-demand data request terminal device and each block chain node device in the block chain system from the on-demand data request terminal device to obtain a corresponding first device interaction data volume;
for each on-demand data request terminal device, respectively acquiring a device interaction data volume between the block chain node device and the on-demand data request terminal device from each block chain node device in the block chain system to obtain a corresponding second device interaction data volume;
respectively determining whether the interactive data volume of first equipment and the interactive data volume of second equipment between each video-on-demand data request terminal equipment and each block chain node equipment in the block chain system are the same or not aiming at each video-on-demand data request terminal equipment;
for each on-demand data request terminal device, respectively determining each block chain node device in the block chain system, which has the same first device interactive data volume and second device interactive data volume with the on-demand data request terminal device, as a third block chain node device corresponding to the on-demand data request terminal device, and respectively determining each block chain node device in the block chain system, which has different first device interactive data volume and second device interactive data volume with the on-demand data request terminal device, as a fourth block chain node device corresponding to the on-demand data request terminal device;
and for each video-on-demand data request terminal device, assigning a second device correlation coefficient between the video-on-demand data request terminal device and each corresponding third block chain node device to be a first preset value, and determining a second device correlation coefficient between the video-on-demand data request terminal device and each corresponding fourth block chain node device based on a second device interaction data volume between the video-on-demand data request terminal device and each corresponding fourth block chain node device, wherein the second device correlation coefficient and the second device interaction data volume have a positive correlation relationship.
8. The block chain-based on-demand data processing method according to claim 1, wherein the device interaction affinity calculation operation comprises:
classifying historical interactive data included in the equipment interactive data set to obtain a corresponding first classification set and a corresponding second classification set, wherein each piece of first historical interactive data included in the first classification set is sent to corresponding other block chain node equipment based on the on-demand data request terminal equipment, and each piece of second historical interactive data included in the second classification set is sent to corresponding on-demand data request terminal equipment based on the other block chain node equipment;
obtaining each piece of historical interactive data formed by historical interaction between at least one historical on-demand data request terminal device and at least one corresponding historical second block link point device, using the historical interactive data as historical interactive reference data, constructing and forming a corresponding historical reference data set based on the historical interactive reference data, clustering the historical reference data set to obtain a plurality of clustering centers corresponding to the historical reference data set, and determining a plurality of pieces of historical interactive reference data corresponding to the clustering centers as a plurality of corresponding pieces of first historical interactive reference data;
for each piece of first historical interaction data in the first classification set, respectively calculating data similarity between the first historical interaction data and each piece of first historical interaction reference data, determining the data similarity with the maximum value as target data similarity corresponding to the first historical interaction data, and determining the first historical interaction reference data corresponding to the target data similarity as target first historical interaction reference data corresponding to the first historical interaction data;
for each piece of second historical interaction data in the second classification set, respectively calculating data similarity between the second historical interaction data and each piece of first historical interaction reference data, determining the data similarity with the maximum value as target data similarity corresponding to the second historical interaction data, and determining the first historical interaction reference data corresponding to the target data similarity as target first historical interaction reference data corresponding to the second historical interaction data;
determining each historical data combination, counting the number of the historical data combinations to obtain a corresponding combination statistical number, and calculating a product between target data similarities corresponding to the first historical interaction data and the second historical interaction data included in the historical data combination aiming at each historical data combination to obtain a similarity product corresponding to the historical data combination, wherein each historical data combination includes a corresponding piece of first historical interaction data and a corresponding piece of second historical interaction data, and the first historical interaction data included in each historical data combination is the same as the target first historical interaction reference data corresponding to the second historical interaction data;
and calculating the average value of the similarity product corresponding to each historical data combination, and determining the equipment interaction closeness between the on-demand data request terminal equipment and the corresponding other block chain node equipment based on the average value and the combined statistical number.
9. The block chain-based on-demand data processing system is applied to an on-demand data processing server, the on-demand data processing server is in communication connection with a block chain system comprising a plurality of block chain node devices, and the block chain-based on-demand data processing system comprises:
the on-demand data processing server is used for sending target on-demand data to the on-demand data request terminal equipment;
a first node device determining module, configured to determine, for each on-demand data request terminal device, a block link point device related to the on-demand data request terminal device in the block chain system, where the block link point device is used as a first block link point device corresponding to the on-demand data request terminal device;
a second node device determining module, configured to determine, for each on-demand data request terminal device, a plurality of second block link point devices corresponding to the on-demand data request terminal device in other block link node devices other than a first block link point device corresponding to the on-demand data request terminal device included in the block link system, where the plurality of second block link point devices are configured to verify the on-demand request information and send an obtained request verification result to the on-demand data processing server, and the on-demand data processing server is configured to determine, according to the request verification result, whether to send corresponding target on-demand data to the corresponding on-demand data request terminal device based on the on-demand request information;
the two-node device determination module is specifically configured to:
for each on-demand data request terminal device, respectively acquiring a device interaction data set between the other block link point device and the on-demand data request terminal device from each other block link node device except for a first block link point device corresponding to the on-demand data request terminal device included in the block chain system, wherein the device interaction data set includes each piece of historical interaction data between the other block link point device and the on-demand data request terminal device;
aiming at each on-demand data request terminal device, respectively executing device interaction compactness calculation operation based on a device interaction data set between the on-demand data request terminal device and the corresponding other block chain node point device to obtain device interaction compactness between the on-demand data request terminal device and each corresponding other block chain node point device;
and aiming at each request data request terminal device, determining a preset number of other block chain link point devices with the minimum corresponding device interaction compactness in the other block chain link point devices corresponding to the request data request terminal device as corresponding second block chain link point devices.
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