CN109560893B - Data verification method and device and server - Google Patents

Abstract

Embodiments of the present invention provide a data verification method, device, and server. The method includes: counting the number of IoT devices accessing the server; adjusting the number of data verification containers according to the counted number of IoT devices accessing the server, where the data verification container is used to collect data from at least one IoT device data for verification. The method of the embodiment of the present invention realizes that the number of data verification containers can be adaptively adjusted according to the number of connected IoT devices, and meets the massive data verification requirement when massive IoT devices simultaneously access the network.

Description

Data verification method, device and server

technical field

Embodiments of the present invention relate to the technical field of Internet of Things applications, and in particular, to a data verification method, device, and server.

Background technique

In order to ensure the integrity and legality of the data, in various application scenarios, the receiver needs to perform data verification on the received data to ensure the integrity of the data and avoid illegal data attacks.

With the rapid development of the Internet industry and the rise of the Internet of Things industry, IoT devices have been widely used for data collection. Data collection is based on the data transmission protocol, and data transmission and collection is carried out through the host port. After the server receives the data collected by the IoT device, it first needs to perform data verification on the received data. Only complete and legal data that has passed the data verification will be transmitted to the downstream system for further analysis and processing. Data verification will occupy the host resources of the server, especially in various big data application scenarios, the access volume of IoT devices increases sharply, resulting in slow data verification, so that it is impossible to collect data from IoT devices in a timely and effective manner. Data is analyzed.

To sum up, the existing data verification methods cannot support massive IoT devices accessing the network at the same time, and cannot meet the demand for massive data verification.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide a data verification method, an apparatus, and a server, which are used to solve the problem that the prior art cannot meet the requirement of massive data verification.

In a first aspect, an embodiment of the present invention provides a data verification method, including:

Count the number of IoT devices connected to the server;

The number of data verification containers is adjusted according to the counted number of IoT devices connected to the server, and the data verification container is used to verify the data collected by at least one IoT device.

In a possible implementation manner, according to the counted number of IoT devices accessing the server, adjusting the number of data verification containers includes:

If the counted number of IoT devices connected to the server is greater than the first threshold, the number of data verification containers is increased according to the counted number of IoT devices connected to the server, and the first threshold is based on the data verification in the current server. The number of inspection containers is determined.

In a possible implementation manner, according to the counted number of IoT devices accessing the server, adjusting the number of data verification containers includes:

If the counted number of IoT devices connected to the server is less than the second threshold, the number of data verification containers is reduced according to the counted number of IoT devices connected to the server, and the second threshold is based on the data verification in the current server. The number of inspection containers is determined.

In a possible implementation, the method further includes:

If the number of IoT devices connected to the data verification container is reduced to a preset number, the data verification container is destroyed.

In a possible implementation manner, the data verification container used to verify the data collected by at least one IoT device includes:

The data verification container is used to sequentially perform routine verification, digital signature verification and cyclic redundancy check on the data collected by at least one IoT device, and the routine verification is used to verify the number of records, size, number of rows and coding information of the data Check it out.

In a possible implementation, the method further includes:

If the data collected by the IoT device fails the data verification, a failure notification message is sent to the IoT device. The failure notification message includes retransmission policy indication information, which is used to instruct the IoT device to perform a retransmission policy according to the retransmission policy indicated by the failure notification message. Data retransmission.

In a possible implementation manner, before counting the number of IoT devices accessing the server, the method further includes:

Receive an access request message sent by an IoT device, where the access request message includes device code information of the IoT device;

Determine whether to allow the IoT device to access the server according to the device encoding information.

In a second aspect, an embodiment of the present invention provides a data verification device, including:

Statistics module, used to count the number of IoT devices connected to the server;

The adjustment module is configured to adjust the number of data verification containers according to the counted number of IoT devices accessing the server, and the data verification containers are used to verify the data collected by at least one IoT device.

In a third aspect, an embodiment of the present invention provides a server, including:

at least one processor and memory;

memory stores instructions for execution by the computer;

The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the data verification method according to any one of the first aspects.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by a processor, are used to implement any one of the first aspect. The data verification method described above.

The data verification method, device and server provided by the embodiments of the present invention adjust the number of data verification containers by counting the number of IoT devices connected to the server and according to the counted number of IoT devices accessing the server. In this way, it is realized that the number of data verification containers can be adaptively adjusted according to the number of connected IoT devices, which can meet the data verification requirements when a large number of IoT devices are simultaneously connected to the network. The response speed is fast, and the data is improved. Check speed.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention.

1 is a flowchart of an embodiment of a data verification method provided by the present invention;

2 is an application schematic diagram of an embodiment of a data verification method provided by the present invention;

3 is a schematic structural diagram of an embodiment of a data verification device provided by the present invention;

FIG. 4 is a schematic structural diagram of an embodiment of a server provided by the present invention.

By the above-mentioned drawings, there have been shown specific embodiments of the invention, which will be described in more detail hereinafter. These drawings and written descriptions are not intended to limit the scope of the inventive concept in any way, but to illustrate the inventive concept to those skilled in the art by referring to specific embodiments.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with some aspects of the invention as recited in the appended claims.

The terms "comprising" and "having" and any variations thereof in the description and claims of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally also includes For other steps or units inherent to these processes, methods, products or devices.

In the present invention, "first" and "second" only play a role of identification, and cannot be understood as indicating or implying a sequence relationship, relative importance, or implicitly indicating the quantity of the indicated technical features. "Plural" means two or more. "And/or", which describes the association relationship of the associated objects, means that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects are an "or" relationship.

Reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic associated with the embodiment is included in at least one embodiment of the present application. Thus, appearances of "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily necessarily referring to the same embodiment. It should be noted that the embodiments of the present invention and the features of the embodiments may be combined with each other under the condition of no conflict.

FIG. 1 is a flowchart of an embodiment of a data verification method provided by the present invention. The method provided in this embodiment may be executed by a network-side device, such as a server. As shown in FIG. 1 , the data verification method provided in this embodiment may include:

S101. Count the number of IoT devices connected to the server.

In this embodiment, the IoT device can be connected to the server through wireless communication methods such as Bluetooth, infrared, wireless local area network, and mobile communication network, and can also be connected to the server through wired communication. The mode is not particularly limited, and various access modes are applicable to this embodiment.

The IoT device in this embodiment may be various sensors, such as a temperature sensor, a water level sensor, a wind speed sensor, a pressure sensor, and the like. In this embodiment, the IoT devices accessing the server may be the same type of IoT devices, or may be different types of IoT devices.

In this embodiment, the server may perform statistics on the number of IoT devices accessing the server in real time, or it may be performed at a preset time interval as a statistical period. For example, the statistics on the IoT devices accessing the server may be performed every 30 seconds The number of devices is counted once.

S102. Adjust the number of data verification containers according to the counted number of IoT devices accessing the server, where the data verification containers are used to verify data collected by at least one IoT device.

The data verification container in this embodiment may be used to verify the data collected by at least one IoT device, and the verification of the data may include verification of the integrity and/or validity of the data. This embodiment does not limit the specific implementation manner of data verification.

In this embodiment, the number of data verification containers is positively related to the number of IoT devices accessing the server. That is to say, when the number of IoT devices accessing the server increases, the number of data verification containers also increases; when the number of IoT devices accessing the server decreases, the number of data verification containers also decreases.

The data verification container in this embodiment can be implemented by using a virtualized container technology, for example, can be implemented by using Docker, which occupies less resources, is quick to deploy, and quick to start.

The data verification method provided in this embodiment adjusts the number of data verification containers by counting the number of IoT devices connected to the server, and according to the counted number of IoT devices accessing the server. In this way, it is realized that the number of data verification containers can be adaptively adjusted according to the number of connected IoT devices, which can meet the data verification requirements when a large number of IoT devices are simultaneously connected to the network. The response speed is fast, and the data is improved. Check speed.

In some embodiments, according to the counted number of IoT devices accessing the server, an implementation manner of adjusting the number of data verification containers may be:

If the counted number of IoT devices connected to the server is greater than the first threshold, the number of data verification containers is increased according to the counted number of IoT devices connected to the server, and the first threshold is based on the data verification in the current server. The number of inspection containers is determined.

即需要增加4个数据校验容器。上述数值仅做示例，并不对本发明形成任何限制。The first threshold in this embodiment may be determined according to the number of data verification containers in the current server. For example, if there are 10 data verification containers started in the current server, and each data verification container can be used to verify the data collected by 3 IoT devices, the first threshold in this embodiment is Can be set to 30 (10*3). That is, when the counted number of IoT devices connected to the server is greater than 30, the number of data verification containers needs to be increased. If the counted number of IoT devices currently connected to the server at the same time is 40, the number of data verification containers that need to be increased can be

That is, 4 data verification containers need to be added. The above numerical values are only examples and do not form any limitation to the present invention.

It should be noted that, in this embodiment, the number of IoT devices connected to the data verification container may also be determined according to the data verification capacity of the data verification container and the data collection rate of a single IoT device. For example, if the data verification capacity of the data verification container is 10MB/s and the data collection rate of a single IoT device is 1MB/s, the data verification container can be used to verify the data collected by 10 IoT devices. . The data collection rate of each IoT device may be different. For example, the IoT device used for aerial photography collects photos and video data at a higher rate than the temperature data collected by the IoT device used for temperature monitoring.

Optionally, the number of data verification containers may be adjusted according to the amount of data to be verified of the IoT devices connected to the server. When the amount of data to be verified of the IoT device connected to the server is greater than the preset threshold, the number of data verification containers is increased.

The data verification method provided by this embodiment increases the number of data verification containers according to the counted number of IoT devices accessing the server when the number of IoT devices accessing the server is greater than the first threshold. In this way, when the number of IoT devices connected to the server increases, the number of data verification containers is increased in time, so that the data collected by the IoT devices can be quickly verified, and the data verification speed is improved.

In some embodiments, according to the counted number of IoT devices accessing the server, an implementation manner of adjusting the number of data verification containers may be:

If the counted number of IoT devices connected to the server is less than the second threshold, the number of data verification containers is reduced according to the counted number of IoT devices connected to the server, and the second threshold is based on the data verification in the current server. The number of inspection containers is determined.

For example, if the number of data verification containers in the current server is sufficient to verify the data collected by 100 IoT devices, and the number of IoT devices connected to the server is only 50, the As a result, a large number of data verification containers are in an idle state, resulting in a waste of system resources. Therefore, in order to avoid waste of system resources and improve resource utilization rate, in this embodiment, when the number of IoT devices accessing the server is less than the second threshold, the number of IoT devices accessing the server is counted to reduce data calibration. Check the number of containers. The specific value of the second threshold may be set according to actual needs, which is not limited in this embodiment. In this way, by reducing the number of data verification containers in a timely manner, the data verification containers are avoided to be in an idle state, resulting in waste of resources, improving resource utilization, and at the same time, more resources can be released for the Internet of Things with data verification requirements. device usage, thereby improving the speed of data verification.

In some embodiments, on the basis of any of the foregoing embodiments, the method provided in this embodiment may further include:

If the number of IoT devices connected to the data verification container is reduced to a preset number, the data verification container is destroyed.

In this embodiment, after the IoT device has finished transmitting the collected data, it will disconnect from the server, release corresponding resources so that other devices can use it, and also reduce the power consumption of the IoT device.

The data verification container in this embodiment can be connected to multiple IoT devices at the same time, and is used to verify the data collected by the multiple IoT devices. If multiple IoT devices connected to it have completed data transmission and are in an offline state, the data verification container can be destroyed to release corresponding resources.

The preset number in this embodiment can be set to 0, that is, when the number of IoT devices connected to the data verification container is reduced to 0, the data verification container can be destroyed.

In the data verification method provided by this embodiment, when the number of IoT devices connected to the data verification container is reduced to a preset number, the data verification container is destroyed. In this way, by destroying the redundant data verification container in time, more resources are released, and the resource utilization rate is improved, thereby improving the response speed of the server and the data verification speed.

In some embodiments, an implementation manner in which the data verification container is used to verify the data collected by the at least one Internet of Things device may be: the data verification container is used to sequentially perform normal operation on the data collected by the at least one Internet of Things device. Check, digital signature check and cyclic redundancy check, conventional check is used to check the number of records, size, number of lines and encoding information of the data.

The normal check in this embodiment is used to check the number of records, size, number of lines and encoding information of the data. Specifically, it is to compare the number of records, size, number of lines and coding information recorded in the received data file with the actual number of records, size, number of lines and coding information of the received data file, if they are the same, then The verification is passed, if not, the verification fails. Data that fails to be verified can be discarded; only data that passes regular verification will be verified for digital signatures.

The digital signature verification in this embodiment may be performed by, for example, at least one of a message digest algorithm (Message Digest, MD), a secure hash algorithm (Secure Hash Algorithm, SHA), and a message authentication code algorithm (Message Authentication Code, MAC). Digital signature verification. For example, the MD5 algorithm can be used to calculate the message digest of the received data and compare it with the message digest recorded in the received data. If they are the same, the digital signature verification passes; if they are different, the verification fails. The data that fails to be verified can be discarded; only the data that passes the digital signature verification will be checked for cyclic redundancy.

The cyclic redundancy check (Cyclical Redundancy Check, CRC) in this embodiment calculates the check code of the received receipt according to a preset algorithm, and compares it with the check code recorded in the received data. If they are the same, the CRC check passes; if they are different, the check fails.

In this embodiment, routine verification, digital signature verification and cyclic redundancy verification are sequentially performed on the data collected by the IoT device, and the integrity and legality of the data entering the subsequent data analysis and processing process are ensured through layer-by-layer screening. .

In the data verification method provided in this embodiment, the number of IoT devices connected to the server is counted, and the number of data verification containers is adjusted according to the counted number of IoT devices connected to the server, so as to ensure that there are sufficient Resources are used for data validation. The security is further improved by sequentially performing routine verification, digital signature verification and cyclic redundancy verification on the data collected by the IoT devices.

In some embodiments, on the basis of the previous embodiment, the method provided in this embodiment may further include: if the data collected by the IoT device fails the data verification, sending a failure notification message to the IoT device, and the failure notification The message includes retransmission policy indication information, which is used to instruct the IoT device to retransmit data according to the retransmission policy indicated by the failure notification message.

The data collected by the Internet of Things device in this embodiment fails the data verification and may fail any one of conventional verification, digital signature verification, and cyclic redundancy verification.

Optionally, when some data fails the data verification, the server may also generate a log record to record the detailed information of the failed data verification. Time information, reason for data verification failure, data type information, etc.

In this embodiment, when the data collected by the IoT device fails the data verification, the server sends a failure notification message to the IoT device, and the failure notification message includes retransmission policy indication information, which is used to instruct the IoT device to follow the failure notification message The indicated retransmission policy retransmits the data. Optionally, the retransmission policy indication information may be determined, for example, according to at least one of the cause of the verification failure, the type of data, and the priority of the data. For example, if the reason for data verification failure is network congestion, and the priority of the data indicates that the data requires less timeliness, the retransmission policy can be set to staggered transmission to reduce network pressure, for example, it can also be Send the network idle time period information calculated according to the historical records together with the indication information of the staggered transmission and retransmission strategy to the IoT device.

FIG. 2 is an application schematic diagram of an embodiment of the data verification method provided by the present invention. As shown in FIG. 2 , in this embodiment, each data verification container is used to perform data verification on data collected by three IoT devices. The data verification container sequentially performs routine verification, digital signature verification and cyclic redundancy verification on the data collected by the IoT device. Only the data that passes all verifications will enter the subsequent data analysis and processing process, that is to say, When any one of the regular check, digital signature check and cyclic redundancy check fails, the server will discard the data and will not enter the subsequent data analysis and processing flow. When a new IoT device is connected and the existing data verification container cannot meet the data verification requirements, a data verification container is added to verify the data collected by the IoT device; Multiple connected IoT devices have completed the transmission of the collected data, and when they are offline, the data verification container can be destroyed to release the corresponding resources. It should be noted that FIG. 2 is only a possible implementation manner of the embodiment of the present invention, and the numerical values are only examples and do not limit the present application.

In some embodiments, on the basis of any of the foregoing embodiments, before counting the number of IoT devices accessing the server, the method provided in this embodiment may further include:

An access request message sent by an IoT device is received, where the access request message includes device code information of the IoT device.

Determine whether to allow the IoT device to access the server according to the device encoding information.

In this embodiment, relevant information of legal IoT devices may be pre-stored in the server. The legal IoT devices may include IoT devices that have been legally registered, IoT devices that have been authorized by the server, and the like. The relevant information may include device coding information, access permission information, etc. of the IoT device.

When receiving the access request message of the IoT device, the server in this embodiment obtains the device code information contained therein, and compares it with the pre-stored device code information of the legitimate IoT device. It is determined that the Internet of Things device is legal and the server can be accessed; if the matching fails, it can be determined that the Internet of Things device is illegal, and the Internet of Things device is refused to access the server.

In the data verification method provided by this embodiment, when the IoT device accesses the server, an access request message including the device code information of the IoT device sent by the IoT device is received, and the device code in the access request message is received according to the data verification method. information to determine whether to allow IoT devices to access the server. In this way, the access of illegal IoT devices can be effectively avoided, thereby effectively avoiding illegal data attacks. At the same time, by filtering illegal IoT devices, the amount of data that needs to be verified by the data verification server is reduced, and the efficiency of data verification is improved. and speed.

An embodiment of the present invention further provides a data verification apparatus. Please refer to FIG. 3 . The embodiment of the present invention only uses FIG. 3 as an example for description, which does not mean that the present invention is limited to this. FIG. 3 is a schematic structural diagram of an embodiment of a data verification apparatus provided by the present invention. The data verification apparatus provided in this embodiment may be a network-side device, such as a server, or a component used for the network-side device, such as a chip, an integrated circuit, and the like. As shown in FIG. 3 , the data verification apparatus 30 provided in this embodiment may include a statistics module 301 and an adjustment module 302 .

The statistics module 301 is configured to count the number of IoT devices accessing the server.

The adjustment module 302 is configured to adjust the number of data verification containers according to the counted number of IoT devices accessing the server, and the data verification containers are used to verify data collected by at least one IoT device.

The apparatus of this embodiment can be used to execute the technical solution of the method embodiment shown in FIG. 1 , and the implementation principle and technical effect thereof are similar, and are not repeated here.

Optionally, the adjustment module 302 can be specifically used for:

If the counted number of IoT devices connected to the server is greater than the first threshold, the number of data verification containers is increased according to the counted number of IoT devices connected to the server, and the first threshold is based on the data verification in the current server. The number of inspection containers is determined.

Optionally, the adjustment module 302 can be specifically used for:

If the counted number of IoT devices connected to the server is less than the second threshold, the number of data verification containers is reduced according to the counted number of IoT devices connected to the server, and the second threshold is based on the data verification in the current server. The number of inspection containers is determined.

Optionally, the adjustment module 302 can also be specifically used for:

If the number of IoT devices connected to the data verification container is reduced to a preset number, the data verification container is destroyed.

Optionally, the data verification container can be used to sequentially perform routine verification, digital signature verification and cyclic redundancy verification on the data collected by at least one IoT device. The number of lines and encoding information are checked.

Optionally, the data verification apparatus 30 may further include a sending module for sending a failure notification message to the IoT device when the data collected by the IoT device fails the data verification, where the failure notification message includes retransmission policy indication information, It is used to instruct the IoT device to retransmit data according to the retransmission policy indicated by the failure notification message.

Optionally, the data verification apparatus 30 may further include a receiving module and a verification module, wherein the receiving module is used to receive the access request message sent by the IoT device before counting the number of IoT devices accessing the server, and the access request The message includes the device code information of the Internet of Things device; the verification module is used to determine whether to allow the Internet of Things device to access the server according to the device code information.

An embodiment of the present invention further provides a server. Referring to FIG. 4 , the embodiment of the present invention is only described by taking FIG. 4 as an example, which does not mean that the present invention is limited to this. FIG. 4 is a schematic structural diagram of an embodiment of a server provided by the present invention. As shown in FIG. 4 , the server 40 provided in this embodiment may include: a memory 401 , a processor 402 and a bus 403 . Among them, the bus 403 is used to realize the connection between various elements.

A computer program is stored in the memory 401, and when the computer program is executed by the processor 402, the technical solution of the data verification method provided by any of the above method embodiments can be implemented.

The memory 401 and the processor 402 are electrically connected directly or indirectly to realize data transmission or interaction. For example, these elements can be electrically connected to each other through one or more communication buses or signal lines, such as the bus 403 . A computer program for implementing the data verification method is stored in the memory 401, including at least one software function module that can be stored in the memory 401 in the form of software or firmware, and the processor 402 runs the software programs and modules stored in the memory 401. Execute various functional applications and data processing.

The memory 401 can be, but is not limited to, a random access memory (Random Access Memory, referred to as: RAM), a read-only memory (Read Only Memory, referred to as: ROM), a programmable read-only memory (Programmable Read-Only Memory, referred to as: PROM) ), Erasable Programmable Read-Only Memory (EPROM for short), Electrical Erasable Programmable Read-Only Memory (EEPROM for short), etc. The memory 401 is used for storing the program, and the processor 402 executes the program after receiving the execution instruction. Further, the software programs and modules in the above-mentioned memory 401 may also include an operating system, which may include various software components and/or drivers for managing system tasks (such as memory management, storage device control, power management, etc.), and Can communicate with various hardware or software components to provide an operating environment for other software components.

The processor 402 may be an integrated circuit chip with signal processing capability. The aforementioned processor 402 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short). Various methods, steps, and logical block diagrams disclosed in the embodiments of the present invention can be implemented or executed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. It can be understood that the structure of FIG. 4 is only for illustration, and may also include more or less components than those shown in FIG. 4 , or have different configurations from those shown in FIG. 4 . The components shown in FIG. 4 may be implemented in hardware and/or software.

An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the data verification method provided by any of the foregoing method embodiments can be implemented. The computer-readable storage medium in this embodiment may be any available medium that can be accessed by a computer, or a data storage device such as a server or data center that includes one or more available media integrated, and the available medium may be a magnetic medium, (for example, , floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, SSD), etc.

In the above-mentioned embodiments, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are only illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or modules, and may be in electrical, mechanical or other forms.

The modules described as separate components may or may not be physically separated, and components shown as modules may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each module may exist physically alone, or two or more modules may be integrated into one unit. The units formed by the above modules can be implemented in the form of hardware, or can be implemented in the form of hardware plus software functional units.

The above-mentioned integrated modules implemented in the form of software functional modules may be stored in a computer-readable storage medium. The above-mentioned software function modules are stored in a storage medium, and include several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to execute the various embodiments of the present application. part of the method.

The above-mentioned storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable Except programmable read only memory (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. A storage medium can be any available medium that can be accessed by a general purpose or special purpose computer.

An exemplary storage medium is coupled to the processor, such that the processor can read information from, and write information to, the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium may be located in application specific integrated circuits (Application Specific Integrated Circuits, ASIC for short). Of course, the processor and the storage medium may also exist in the terminal or server as discrete components.

Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments may be completed by program instructions related to hardware. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps including the above method embodiments are executed; and the foregoing storage medium includes: ROM, RAM, magnetic disk or optical disk and other media that can store program codes.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features thereof can be equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present invention. scope.

Claims (9)

1. a data verification method, is characterized in that, comprises: Count the number of IoT devices connected to the server; the statistics are carried out in real time; or are carried out with a preset time interval as the statistical period; Adjust the number of data verification containers according to the counted number of IoT devices connected to the server, where the data verification containers are used to verify data collected by at least one IoT device; If the number of IoT devices connected to the data verification container is reduced to a preset number, the data verification container is destroyed. 2. The method according to claim 1, wherein, according to the counted number of IoT devices accessing the server, adjusting the number of data verification containers comprises: If the counted number of IoT devices accessing the server is greater than the first threshold, the number of data verification containers is increased according to the counted number of IoT devices accessing the server, and the first threshold is based on the current The number of data verification containers in the server is determined. 3. The method according to claim 1, wherein, according to the counted number of Internet of Things devices accessing the server, adjusting the number of data verification containers comprises: If the counted number of IoT devices accessing the server is less than the second threshold, the number of data verification containers is reduced according to the counted number of IoT devices accessing the server, and the second threshold is based on the current The number of data verification containers in the server is determined. 4. The method according to claim 1, wherein the data verification container used for verifying the data collected by at least one Internet of Things device comprises: The data verification container is used to sequentially perform routine verification, digital signature verification and cyclic redundancy verification on the data collected by at least one IoT device, and the routine verification is used to verify the number and size of records of the data. , line number and encoding information for verification. 5. The method according to any one of claims 1-4, wherein the method further comprises: If the data collected by the IoT device fails the data verification, a failure notification message is sent to the IoT device, and the failure notification message includes retransmission policy indication information, which is used to instruct the IoT device according to the failure notification The retransmission policy indicated by the message retransmits the data. 6. The method according to any one of claims 1-4, wherein before the counting the number of IoT devices accessing the server, the method further comprises: receiving an access request message sent by an IoT device, where the access request message includes device coding information of the IoT device; Determine whether to allow the Internet of Things device to access the server according to the device encoding information. 7. A data verification device, characterized in that, comprising: A statistics module, used to count the number of IoT devices connected to the server; the statistics are performed in real time; or a preset time interval is used as a statistical period; an adjustment module, configured to adjust the number of data verification containers according to the counted number of IoT devices accessing the server, where the data verification containers are used to verify the data collected by at least one IoT device; The adjustment module is further configured to destroy the data verification container if the number of IoT devices connected to the data verification container is reduced to a preset number. 8. A server, comprising: at least one processor and a memory; the memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the data verification method of any one of claims 1-6. 9. A computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, and when executed by a processor, the computer-executable instructions are used to implement any one of claims 1-6 The described data verification method.

Images