CN111385511B - Video data processing method and device and video recording equipment - Google Patents
Video data processing method and device and video recording equipment Download PDFInfo
- Publication number
- CN111385511B CN111385511B CN201811626370.0A CN201811626370A CN111385511B CN 111385511 B CN111385511 B CN 111385511B CN 201811626370 A CN201811626370 A CN 201811626370A CN 111385511 B CN111385511 B CN 111385511B
- Authority
- CN
- China
- Prior art keywords
- video
- target
- concurrency
- storage
- hash value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/91—Television signal processing therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Bioethics (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Storage Device Security (AREA)
- Television Signal Processing For Recording (AREA)
Abstract
The application provides a video data processing method and device and video recording equipment. The video data processing method provided by the application comprises the following steps: storing the collected video and calculating a hash value of the video; storing the corresponding relation between the hash value and the identification information of the video in a block chain system; when a video acquisition request is received, the corresponding relation is utilized to check whether a target video acquired by the video acquisition request is tampered. The video data processing method, the video data processing device and the video data processing system can be used for tampering and checking video data and distinguishing authenticity of the video data.
Description
Technical Field
The present application relates to the field of video data, and in particular, to a video data processing method and apparatus, and a video recording device.
Background
With the rapid development of computer technology and image processing technology, video technology is widely applied to video communication, video recording, video monitoring and the like. As recordable electronic data, video data is more used as an electronic evidence because of its advantages of real-time viewing, storage and review.
However, with the advent of video editing software, video data can be easily tampered, resulting in video data that cannot be used in urban management and other aspects. Therefore, how to provide a method for discriminating tampering of video data becomes a problem to be solved urgently at present.
Disclosure of Invention
In view of the above, the present application provides a video data processing method, a video data processing apparatus, and a video recording device, so as to provide a method for verifying video data tampering and identifying whether video data is true or false.
A first aspect of the present application provides a video data processing method, where the method is applied to a video recording device, and the method includes:
storing the collected video and calculating a hash value of the video;
storing the corresponding relation between the hash value and the identification information of the video in a block chain system;
when a video acquisition request is received, the corresponding relation is utilized to check whether the target video acquired by the video acquisition request is tampered.
A second aspect of the present application provides a video data processing apparatus for use in a video recording device, the apparatus comprising a processing module, a storage module and a verification module, wherein,
the processing module is used for storing the acquired video and calculating the hash value of the video;
the storage module is configured to store a correspondence between the hash value and the identification information of the video in a block chain system;
and the checking module is used for checking whether the target video acquired by the video acquisition request is tampered by using the corresponding relation when the video acquisition request is received.
A third aspect of the present application provides a computer storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods provided by the first aspect of the present application.
A fourth aspect of the present application provides a video recording device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the methods provided in the first aspect of the present application when executing the program.
According to the video data processing method, the video data processing device and the video recording equipment, the acquired video is stored, the hash value of the video is calculated, and then the corresponding relation between the hash value and the identification information of the video is stored in the block chain system, so that when a video acquisition request is received, whether the target video acquired by the video acquisition request is tampered or not is checked by using the corresponding relation. Therefore, the method can be used for verifying video tampering and identifying the authenticity of the video.
Drawings
Fig. 1 is a schematic view of an application scenario of a video data processing method and apparatus provided in the present application;
fig. 2 is a flowchart of a first embodiment of a video data processing method provided in the present application;
fig. 3 is a flowchart of a second embodiment of a video data processing method provided in the present application;
fig. 4 is a schematic diagram of a video recording device in which a video data processing apparatus according to an exemplary embodiment of the present application is located;
fig. 5 is a schematic structural diagram of a video data processing apparatus according to a first embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at" \8230; "or" when 8230; \8230; "or" in response to a determination ", depending on the context.
The application provides a video data processing method, a video data processing device and video recording equipment, and provides a method for tampering verification of video data and distinguishing authenticity of the video data.
In the following, specific examples are given to describe the technical solutions of the present application in detail. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a schematic view of an application scenario of a video data processing method and apparatus provided in the present application. Referring to fig. 1, the video data processing method and apparatus provided in the present application can be applied to the video data processing system shown in fig. 1, the system includes a client 1, a video recording device 2, and a block chain system 3, wherein the video data processing method and apparatus is applied to the video recording device 2. It should be noted that specific functions of each device will be described in detail in the following embodiments, and will not be described herein again.
Fig. 2 is a flowchart of a first embodiment of a video data processing method provided in the present application. Referring to fig. 2, the method provided in this embodiment may include:
s201, storing the collected video, and calculating a hash value of the video.
Specifically, a hash value of the video can be calculated by using a related hash algorithm. For example, a hash algorithm such as MD5 and SHA-1 can be used to calculate the hash value of the video. It should be noted that the captured video may be stored locally or on another storage device.
S202, storing the corresponding relation between the hash value and the identification information of the video in a block chain system.
Specifically, the identification information may be a storage address of the video, time information of the video, and/or an identifier calculated from the storage address and the time information. For example, in one embodiment, the correspondence between the hash value, the storage address of the video, and the time information of the video is stored in the blockchain system. For another example, in another embodiment, the correspondence between the hash value and the identifier calculated according to the storage address and the time information may be stored in the blockchain system.
It should be noted that the time information of the video includes a recording start time and a recording end time of the video. Furthermore, a unique identifier may be calculated from the storage address and the time information by using a related method. For example, in one embodiment, the storage address and the time information are combined to form an identifier.
S203, when the video acquisition request is received, checking whether the target video acquired by the video acquisition request is tampered by using the corresponding relation.
Specifically, the video acquisition request comes from the client, and the video acquisition request carries a request start time and a request end time, and is used for requesting, from the video recording device, a target video whose recording start time is not earlier than the request start time and whose recording end time is not later than the request end time.
Specifically, in an embodiment, a specific implementation process of the step may include:
(1) And searching the target video from the stored video, and calculating a target hash value of the target video.
Specifically, the target video of the video acquisition request can be searched from the stored video by using the request start time and the request end time carried in the video acquisition request, and the recording start time and the recording end time of the stored video.
In addition, in this step, the same hash algorithm as that in step S201 may be used to calculate the target hash value of the target video.
(2) And searching a target corresponding relation containing the target video from the block chain system.
Specifically, the identification information of the target video can be used to search the target corresponding relationship containing the target video from the block chain system.
Referring to the description in step (1), when the target video is found in the stored video, the storage address of the target video and the time information of the target video can be obtained, so that the identification information of the target video can be obtained, and further, the target corresponding relationship containing the target video can be searched from the block chain system by using the identification information of the target video.
(3) And comparing whether the target hash value is the same as the hash value in the target corresponding relation.
(4) And if not, determining that the target video is tampered, otherwise, determining that the target video is not tampered.
It should be noted that the blockchain system collectively maintains a reliable database through decentralization and distrust, and the data stored in the blockchain system has the characteristics of being irreversible and not being falsifiable. In the present application, the correspondence stored in the blockchain system has the characteristic of being not tampered. Therefore, for the target video, when the target hash value of the target video is different from the hash value in the target corresponding relationship including the target video found from the block chain system, it indicates that the target video has been tampered.
Optionally, when it is determined that the target video has not been tampered, the target video is returned to the client. Correspondingly, when the target video is determined to be tampered, a reminding message for reminding the tampering of the target video is returned to the client.
In the video data processing method provided by this embodiment, the acquired video is stored, and the hash value of the video is calculated, so that the correspondence between the hash value and the identification information of the video is stored in the block chain system, and thus when a video acquisition request is received, whether a target video acquired by the video acquisition request is tampered with is checked by using the correspondence. Therefore, the method can be used for verifying video tampering and identifying the authenticity of the video.
Fig. 3 is a flowchart of a second embodiment of a video data processing method provided in the present application. Referring to fig. 3, the method provided in this embodiment may include:
s301, obtaining the concurrency of the block chain system.
Specifically, the concurrency of the blockchain system is used to represent the number of video recording devices that store the corresponding relationship to the blockchain system at the current time.
Optionally, in an embodiment, a specific implementation process of the step may include:
(1) Sending a concurrency quantity acquisition request to the block chain system;
(2) And receiving the concurrency quantity of the blockchain system returned by the blockchain system in response to the concurrency quantity acquisition request.
Specifically, in an embodiment, the block chain system actively counts the amount of concurrency of the block chain system itself, and returns the amount of concurrency of the block chain system itself to the video recording device when receiving a request for acquiring the amount of concurrency sent by the video recording device.
In addition, in another embodiment, the specific implementation process of this step may include:
(1) And calculating the time interval from the last time the corresponding relation is stored in the blockchain system to the time when a response message of successful storage returned by the blockchain system is received.
Specifically, in an embodiment, the video recording device records a first time when the corresponding relationship is stored in the blockchain system, and after receiving the comparison relationship and storing the corresponding relationship, the blockchain system returns a response message indicating successful storage to the video recording device, and further, the video recording device records a second time when the response message is received. In this way, according to the first time and the second time, the time interval from the last time the corresponding relation is stored in the blockchain system to the time when the response message of successful storage returned by the blockchain system is received can be calculated.
It should be noted that, when the video starts to be acquired, that is, when the correspondence relationship has not been stored in the blockchain system, the time interval may be a preset value.
(2) Determining the concurrency of the block chain system according to the time interval; wherein the concurrency of the blockchain system is positively correlated with the time interval.
Specifically, the concurrency of the blockchain system is positively correlated with the time interval, i.e., the larger the time interval is, the larger the concurrency of the blockchain system is. For example, in one embodiment, when the time interval is less than or equal to the first specified value, the concurrency level of the blockchain system is determined to be low; when the time interval is greater than a first specified value and less than a second specified value, determining the concurrency quantity of the block chain system to be middle; when the time interval is greater than or equal to the second specified value, it is determined that the concurrency amount of the blockchain system is high.
S302, determining a storage capacity value of the video storage block according to the concurrency quantity; wherein the storage capacity value is positively correlated with the concurrency value.
It should be noted that the storage capacity value of the video storage block represents the duration of the video stored in the video storage block or the capacity of the video stored in the video storage block. The following description takes the example that the storage capacity value of the video storage block represents the duration of the video stored in the video storage block.
Specifically, the storage capacity value of the video storage block is positively correlated with the concurrency of the blockchain system, that is, the higher the concurrency of the blockchain system is, the larger the storage capacity value of the video storage block is. For example, in connection with the above example, when the concurrency amount is high, the storage capacity value of the video memory block is determined to be 10 minutes; when the concurrency is medium, determining that the storage capacity value of the video storage block is 5 minutes; when the concurrency amount is low, the storage capacity value of the video memory block is determined to be 2 minutes.
And S303, when the size of the collected video reaches the storage capacity value, storing the video, and calculating the hash value of the video.
Specifically, when the storage capacity value represents the duration of a video stored in the video storage block, the size of the video is correspondingly represented by the duration; when the storage capacity value characterizes the capacity of the video stored in the video storage block, the size of the video is also characterized by the capacity. For example, an hour of video is recorded, and in practice, the hour of video is composed of a plurality of blocks with unequal storage capacities, and each block has a hash value.
Specifically, according to the method provided in this embodiment, the storage capacity value of the video storage block is dynamically adjusted according to the concurrency of the block chain system, so that when the concurrency of the block chain system is high, the storage capacity value of the video storage block is correspondingly large, and for a video recording device, the video recording device sends the corresponding relationship to the block chain system only when the size of the acquired video reaches the storage capacity value, so as to avoid the problem of storage failure of the corresponding relationship due to the large concurrency of the block chain.
S304, storing the corresponding relation between the hash value of the video and the identification information of the video in a block chain system.
S305, when a video acquisition request is received, checking whether a target video acquired by the video acquisition request is tampered by using the corresponding relation.
Specifically, the specific implementation principle and implementation process of step S304 and step S305 may refer to the description in the foregoing embodiments, and are not described herein again.
According to the method provided by the embodiment, the concurrency of the block chain system is obtained, and the storage capacity value of the video storage block is calculated according to the concurrency, so that when the size of the acquired video reaches the storage capacity value, the video is stored locally, and the hash value of the video is calculated. Wherein the storage capacity value is positively correlated with the concurrency value. In this way, the impact on the system due to the concurrent bottleneck of the blockchain can be avoided.
Corresponding to the embodiment of the video data processing method, the application also provides an embodiment of a video data processing device.
The embodiment of the video data processing device can be applied to video recording equipment. The apparatus embodiments may be implemented by software, or by hardware, or by a combination of hardware and software. Taking a software implementation as an example, as a device in a logical sense, the device is formed by reading corresponding computer program instructions in a memory into an internal memory for operation through a processor of a video recording device where the device is located. From a hardware aspect, as shown in fig. 4, which is a hardware structure diagram of a video recording device where a video data processing apparatus is located in an exemplary embodiment of the present application, except for the memory 410, the processor 420, the memory 430, and the network interface 440 shown in fig. 4, the video recording device where the apparatus is located in the embodiment may also include other hardware according to the actual function of the video data processing apparatus, which is not described again.
Fig. 5 is a schematic structural diagram of a video data processing apparatus according to a first embodiment of the present disclosure. Referring to fig. 5, the video data processing apparatus provided in this embodiment may include a processing module 510, a storage module 520, and a verification module 530, wherein,
the processing module 510 is configured to store the acquired video and calculate a hash value of the video;
the storage module 520 is configured to store the correspondence between the hash value and the identification information of the video in a block chain system;
the verifying module 530 is configured to, when a video obtaining request is received, verify whether a target video obtained by the video obtaining request is tampered with by using the corresponding relationship.
Specifically, the apparatus of this embodiment may be used to implement the technical solution of the method embodiment shown in fig. 2, and the implementation principle and the technical effect are similar, which are not described herein again.
Further, the checking module 530 is specifically configured to:
searching the target video from the stored video, and calculating a target hash value of the target video;
searching a target corresponding relation containing the target video from a block chain system;
comparing whether the target hash value is the same as the hash value in the target corresponding relation;
if not, determining that the target video is tampered, otherwise, determining that the target video is not tampered.
Further, the processing module 510 is further configured to, before storing the acquired video, obtain a concurrency amount of the block chain system, and determine a storage capacity value of a video storage block according to the concurrency amount; wherein the storage capacity value is positively correlated with the concurrency value;
the processing module 510 is specifically configured to store the video when the size of the acquired video reaches the storage capacity value, and calculate a hash value of the video.
Further, the processing module 510 is specifically configured to send a concurrency amount obtaining request to the blockchain system, and receive a concurrency amount of the blockchain system returned by the blockchain system in response to the concurrency amount obtaining request;
or it is that,
the processing module 510 is specifically configured to calculate a time interval from the last time the corresponding relationship is stored in the blockchain system to the time when a response message returned by the blockchain system is received and determine a concurrency amount of the blockchain system according to the time interval; wherein the concurrency of the blockchain system is positively correlated with the time interval.
Further, the identification information is a storage address of the video, time information of the video, and/or an identifier calculated according to the storage address and the time information.
The present application further provides a computer storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the steps of any of the video data processing methods provided in the present application.
In particular, computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including by way of example semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., internal hard disk or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks.
Further, with continued reference to fig. 4, the present application also provides a video recording apparatus, which includes a memory 410, a processor 420, and a computer program stored on the memory 410 and executable on the processor 420, wherein the processor 420 implements the steps of any of the video data processing methods provided in the present application when executing the program.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (10)
1. A video data processing method applied to a video recording apparatus, the method comprising:
dynamically adjusting the storage capacity value of the video storage block according to the concurrency of the block chain system; the storage capacity value is positively correlated with the concurrency value;
when the size of the collected video reaches the storage capacity value, storing the collected video, and calculating the hash value of the video;
storing the corresponding relation between the hash value and the identification information of the video in a block chain system; the identification information includes at least one of: the storage address of the video, the time information of the video and an identifier calculated according to the storage address and the time information;
when a video acquisition request is received, the corresponding relation is utilized to check whether the target video acquired by the video acquisition request is tampered.
2. The method according to claim 1, wherein said checking whether the target video requested to be obtained by the video obtaining request is tampered with using the correspondence relationship comprises:
searching the target video from the stored video, and calculating a target hash value of the target video;
searching a target corresponding relation containing the target video from a block chain system;
comparing whether the target hash value is the same as the hash value in the target corresponding relation;
if not, determining that the target video is tampered, otherwise, determining that the target video is not tampered.
3. The method of claim 1, wherein prior to storing the captured video, the method further comprises:
acquiring the concurrency of the block chain system;
determining the storage capacity value of the video storage block according to the concurrency quantity; wherein the storage capacity value is positively correlated with the concurrency value;
the storing the collected video and calculating the hash value of the video comprises:
and when the size of the collected video reaches the storage capacity value, storing the video and calculating the hash value of the video.
4. The method of claim 3, wherein obtaining the concurrency of the blockchain system comprises:
sending a concurrency quantity acquisition request to the block chain system;
receiving the concurrency quantity of the blockchain system returned by the blockchain system responding to the concurrency quantity acquisition request;
or alternatively it is that,
calculating the time interval from the last time the corresponding relation is stored in the blockchain system to the time when a response message of successful storage returned by the blockchain system is received;
determining the concurrency of the block chain system according to the time interval; wherein the concurrency of the blockchain system is positively correlated with the time interval.
5. The method according to claim 1, wherein the identification information is a storage address of the video, time information of the video, and/or an identifier calculated according to the storage address and the time information.
6. A video data processing apparatus, for use in a video recording device, the apparatus comprising a processing module, a storage module and a verification module, wherein,
the processing module is used for dynamically adjusting the storage capacity value of the video storage block according to the concurrency of the block chain system; the storage capacity value is positively correlated with the concurrency value; when the size of the collected video reaches the storage capacity value, storing the collected video, and calculating the hash value of the video;
the storage module is configured to store a correspondence between the hash value and the identification information of the video in a block chain system; the identification information includes at least one of: the storage address of the video, the time information of the video and an identifier calculated according to the storage address and the time information;
and the checking module is used for checking whether the target video acquired by the video acquisition request is tampered by using the corresponding relation when the video acquisition request is received.
7. The apparatus of claim 6, wherein the verification module is specifically configured to:
searching the target video from the stored video, and calculating a target hash value of the target video;
searching a target corresponding relation containing the target video from a block chain system;
comparing whether the target hash value is the same as the hash value in the target corresponding relation;
if not, determining that the target video is tampered, otherwise, determining that the target video is not tampered.
8. The apparatus of claim 6, wherein the processing module is further configured to, before storing the captured video, obtain a concurrency amount of the blockchain system, and determine a storage capacity value of a video storage block according to the concurrency amount; wherein the storage capacity value is positively correlated with the concurrency value;
the processing module is specifically configured to store the video when the size of the acquired video reaches the storage capacity value, and calculate a hash value of the video.
9. A computer storage medium on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
10. A video recording device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any one of claims 1 to 5 are carried out when the program is executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811626370.0A CN111385511B (en) | 2018-12-28 | 2018-12-28 | Video data processing method and device and video recording equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811626370.0A CN111385511B (en) | 2018-12-28 | 2018-12-28 | Video data processing method and device and video recording equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111385511A CN111385511A (en) | 2020-07-07 |
| CN111385511B true CN111385511B (en) | 2022-11-25 |
Family
ID=71220564
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811626370.0A Active CN111385511B (en) | 2018-12-28 | 2018-12-28 | Video data processing method and device and video recording equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111385511B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112099742A (en) * | 2020-08-13 | 2020-12-18 | 深圳奇迹智慧网络有限公司 | Asynchronous display control method, asynchronous display control terminal and asynchronous display system |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150012974A1 (en) * | 2013-07-06 | 2015-01-08 | Newvoicemedia, Ltd. | System and methods for tamper proof interaction recording and timestamping |
| JP6648555B2 (en) * | 2016-02-29 | 2020-02-14 | 富士ゼロックス株式会社 | Information processing device and program |
| CN106446705A (en) * | 2016-08-26 | 2017-02-22 | 杨鹏 | Cyclic writing method and system of data on the basis of block chain |
| CN107580196B (en) * | 2017-07-28 | 2020-01-21 | 国创科视科技股份有限公司 | Video data sharing system and method |
| CN108471510A (en) * | 2018-01-29 | 2018-08-31 | 东莞理工学院 | A kind of vision operation record protection method and system based on block chain |
-
2018
- 2018-12-28 CN CN201811626370.0A patent/CN111385511B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN111385511A (en) | 2020-07-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109669622B (en) | File management method, file management device, electronic equipment and storage medium | |
| CN101610152A (en) | Content identification method and system and content management client and server | |
| CN112328558B (en) | Access log storage method and system of medical system based on block chain | |
| CN111245897B (en) | Data processing method, device, system, storage medium and processor | |
| CN111385511B (en) | Video data processing method and device and video recording equipment | |
| CN110674500B (en) | Storage medium virus searching and killing method and device, computer equipment and storage medium | |
| CN105183799B (en) | Authority management method and client | |
| CN109271097B (en) | Data processing method, data processing device and server | |
| CN112148920B (en) | Data management method | |
| CN110737389A (en) | Method and device for storing data | |
| CN106406771B (en) | Log recording method and logger | |
| CN105718539B (en) | A kind of database application method and device | |
| CN109753505B (en) | Method and system for creating temporary storage unit in big data storage system | |
| CN109669623B (en) | File management method, file management device, electronic equipment and storage medium | |
| CN110910249A (en) | Data processing method and device, node equipment and storage medium | |
| CN106998436B (en) | Video backup method and device | |
| CN113905092B (en) | Method, device, terminal and storage medium for determining reusable agent queue | |
| CN106878247B (en) | Attack identification method and device | |
| CN113051981B (en) | Face recognition method and device | |
| CN111371818B (en) | Data request verification method, device and equipment | |
| CN103678181A (en) | Cache data protection method | |
| CN113626807A (en) | Big data-based computer information security processing method and system | |
| CN111861613B (en) | Electronic lock operation recording method and device | |
| CN107885640B (en) | Hard disk management method and device | |
| CN111368651A (en) | Vehicle identification method and device and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |