CN116303307A - Image data sharing method and system based on cloud platform - Google Patents

Image data sharing method and system based on cloud platform Download PDF

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CN116303307A
CN116303307A CN202211104483.0A CN202211104483A CN116303307A CN 116303307 A CN116303307 A CN 116303307A CN 202211104483 A CN202211104483 A CN 202211104483A CN 116303307 A CN116303307 A CN 116303307A
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data
image data
sharing
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cloud platform
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郑建梅
吴飞超
杨龙
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10—File systems; File servers
    • G06F16/17—Details of further file system functions
    • G06F16/176—Support for shared access to files; File sharing support
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10—File systems; File servers
    • G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10—File systems; File servers
    • G06F16/17—Details of further file system functions
    • G06F16/1734—Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10—File systems; File servers
    • G06F16/18—File system types
    • G06F16/182—Distributed file systems
    • 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
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
    • G06F21/562—Static detection
    • 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
    • G06F21/602—Providing cryptographic facilities or services
    • 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
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • 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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Abstract

The invention discloses an image data sharing method and system based on a cloud platform, which relate to the technical field of data sharing and comprise a request uploading module, a data interaction module, a data processing module, a data monitoring module and a signal analysis module; the request uploading module is used for sending a data sharing request to the control center by a user; the control center invokes corresponding image data from the cloud platform by utilizing the data interaction module; the data processing module is used for processing the image data returned by the data interaction module and marking the image data needing to be encrypted as privacy data; encrypting the private data by utilizing a data encryption module; key data leakage is effectively avoided, and the safety of data transmission is greatly improved; generating a sharing signal when the image data is monitored to be sent to an external environment; the signal analysis module is used for carrying out update coefficient analysis on the image data according to the sharing signal, judging whether the corresponding image data needs to be updated or not, and improving the application value of the data.

Description

Image data sharing method and system based on cloud platform
Technical Field
The invention relates to the technical field of data sharing, in particular to a cloud platform-based image data sharing method and system.
Background
With the rapid development of digital information technology, computers play different important roles in life and work of people, and people are more and more separated from computers and more separated from digital information technology. However, the things are on two sides, which brings great potential safety hazards to people while bringing convenience and quickness to life and work of people. The privacy of the user may be stolen due to imperfections in the system or malicious attacks by someone, or illegal use of the database by the owner of the house, etc.
At present, data is easy to tamper in the sharing exchange process, or is distributed to other users after being abandoned, so that the data is leaked and other results are caused; meanwhile, the stored data cannot be classified, so that the high-frequency data can be updated in time, and the application value of the data is improved; based on the defects, the invention provides an image data sharing method and system based on a cloud platform.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides an image data sharing method and system based on a cloud platform.
To achieve the above objective, an embodiment according to a first aspect of the present invention provides an image data sharing system based on a cloud platform, including a request uploading module, a data interaction module, a data processing module, a data monitoring module, a cloud platform, and a signal analysis module;
the request uploading module is used for sending a data sharing request to the control center by a user; the control center sends a corresponding data sharing request to the data interaction module; the data interaction module is used for analyzing the data sharing request content, calling corresponding image data from the cloud platform and returning the called image data to the control center; the image data carries security level information and a first public key;
the data processing module is connected with the control center and is used for processing the image data returned by the data interaction module; marking the image data which does not need to be encrypted as public data, and marking the image data which needs to be encrypted as private data; encrypting the private data by utilizing a data encryption module;
the data monitoring module is used for carrying out sharing monitoring on the image data stored by the cloud platform, generating a sharing signal when the image data is monitored to be sent to an external environment, and sending the sharing signal to the signal analysis module; the signal analysis module is used for receiving the sharing signal transmitted by the data monitoring module and analyzing the update coefficient GX to judge whether the corresponding image data needs to be updated or not.
Further, the specific processing steps of the data processing module are as follows:
establishing an internal data conversion interval, and connecting the internal data conversion interval with a virus library;
uploading the returned image data to an internal data conversion interval, and judging whether the returned image data is virus data or not; if the image data is virus data, stopping sending the image data to an external environment; if the image data is not virus data, allowing the image data to be sent to an external environment;
when the corresponding image data is not virus data, selecting whether encryption is needed according to the security level information of the corresponding image data, specifically: acquiring security level information of corresponding image data, and marking the security level information as M1; comparing M1 with a set value; if M1 is larger than the set value, judging that the corresponding image data needs to be encrypted; otherwise no encryption is required.
Further, the specific encryption steps of the data encryption module are as follows:
converting the privacy data into a privacy data stream, wherein the privacy data stream consists of n unit codes; decomposing the privacy data stream into data stream segments taking k bit unit codes as a group, wherein k is a preset value,
generating corresponding check codes according to the obtained data stream segments, and adding the check codes to the back of the corresponding data stream segments to form new data stream segments; the new data stream segments are each bls12-381 encrypted using the first public key to obtain a private encrypted data stream.
Further, the data encryption module is used for sending the privacy encryption data to the external environment to realize data sharing.
Further, the specific analysis steps of the signal analysis module are as follows:
when the sharing signal is monitored, recording sharing information, wherein the sharing information comprises sharing time; counting the total sharing times of the corresponding image data as C1 in a preset time;
performing time difference calculation on adjacent sharing moments to obtain a sharing interval GTi; comparing the sharing interval GTi with a preset interval threshold value, and calculating to obtain a difference coefficient CF; calculating to obtain an update coefficient GX by using a formula GX=C1×a3+CF×a4, wherein a3 and a4 are both preset scale factors;
comparing the update coefficient GX with a preset update threshold value, and if GX is larger than the preset update threshold value, generating a data update instruction; the data updating instruction carries a data attribute identifier;
the signal analysis module is used for transmitting the data updating instruction to the control center, and the control center receives the data updating instruction and then sends reminding information comprising the data updating instruction to the mobile terminal associated with the control center so as to remind a manager of the mobile terminal of updating the corresponding image data.
Further, the specific calculation process of the difference coefficient CF is as follows:
counting the times that the GTi is smaller than a preset interval threshold value as P1; when the GTi is smaller than the preset interval threshold, obtaining the difference between the GTi and the preset interval threshold, summing to obtain a total difference value CZ, and calculating to obtain a difference coefficient CF by using a formula cf=p1×a1+cz×a2, wherein a1 and a2 are both preset scale factors.
Further, the image data sharing method based on the cloud platform comprises the following steps:
step one: the user sends a data sharing request to the control center through the request uploading module, and the control center invokes corresponding image data from the cloud platform by utilizing the data interaction module;
step two: dividing the image data returned by the data interaction module into public data and private data through the data processing module; encrypting the private data by utilizing a data encryption module;
step three: generating a sharing signal when the image data is monitored to be sent to an external environment; and carrying out update coefficient analysis on the image data according to the sharing signal, and judging whether the corresponding image data needs to be updated or not.
Compared with the prior art, the invention has the beneficial effects that:
1. the data processing module is used for processing the image data returned by the data interaction module, firstly uploading the returned image data to an internal data conversion section, and judging whether the returned image data is virus data or not; if the image data is virus data, stopping sending the image data to an external environment; if the image data is not the virus data, selecting whether encryption is needed according to the security level information of the corresponding image data, marking the image data which is not needed to be encrypted as public data, and marking the image data which is needed to be encrypted as private data; encrypting the private data by utilizing a data encryption module; key data leakage is effectively avoided, and the safety of the data is greatly improved; then the data encryption module transmits the privacy encryption data to the external environment to realize data sharing;
2. the data monitoring module is used for carrying out sharing monitoring on the image data stored by the cloud platform, and generating a sharing signal when the image data is monitored to be sent to an external environment; the signal analysis module is used for carrying out update coefficient analysis according to the shared signal, judging whether the corresponding image data needs to be updated, and generating a data update instruction if the update coefficient GX is larger than a preset update threshold value; after receiving the data updating instruction, the control center sends reminding information comprising the data updating instruction to the mobile terminal associated with the control center so as to remind a manager of the mobile terminal to update the corresponding image data, thereby improving the application value of the data.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system block diagram of an image data sharing system based on a cloud platform according to the present invention.
Fig. 2 is a schematic block diagram of the image data sharing method based on the cloud platform.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1 to 2, the image data sharing system based on the cloud platform comprises a request uploading module, a control center, a data interaction module, a data processing module, a data encryption module, a data monitoring module, the cloud platform and a signal analysis module;
the request uploading module is used for sending a data sharing request to the control center by a user, wherein the data sharing request carries a data attribute identifier and is used for acquiring image data stored in the cloud platform;
the control center sends the corresponding data sharing request to the data interaction module; the data interaction module is used for calling corresponding image data from the cloud platform and returning the called image data to the control center; the image data carries security level information and a first public key;
the data processing module is connected with the control center and is used for processing the image data returned by the data interaction module, and the specific processing steps are as follows:
establishing an internal data conversion interval, and connecting the internal data conversion interval with a virus library; in the specific implementation process, the virus library is updated regularly, so that the virus data in the virus library is ensured to be the latest version;
uploading the returned image data to an internal data conversion interval, and judging whether the returned image data is virus data or not; if the image data is virus data, stopping sending the image data to an external environment; if the image data is not virus data, allowing the image data to be sent to an external environment;
in the specific implementation process, when the corresponding image data is not virus data, selecting whether encryption is needed according to the security level information of the corresponding image data, marking the image data which does not need to be encrypted as public data, and marking the image data which needs to be encrypted as private data; the method comprises the following steps:
acquiring security level information of corresponding image data, and marking the security level information as M1;
comparing M1 with a set value; if M1 is larger than the set value, judging that the corresponding image data needs to be encrypted; otherwise, encryption is not needed;
in the implementation process, when the image data is sent to an external environment, if the image data is private data and is not virus data, the data encryption module is utilized to encrypt the private data;
the specific encryption steps of the data encryption module are as follows:
converting the privacy data into a privacy data stream, wherein the privacy data stream consists of n unit codes;
decomposing the privacy data stream into data stream segments taking k bit unit codes as a group, wherein k is a preset value, specifically:
judging whether n is a multiple of k, if so, decomposing the privacy data stream; if not, supplementing 0 to the private data stream code until the number of unit codes of the private data stream is a multiple of k, and then decomposing to obtain data stream segments with corresponding numbers;
generating corresponding check codes according to the obtained data stream segments, and adding the check codes to the back of the corresponding data stream segments to form new data stream segments; using the first public key to encrypt the new data stream segment with bls12-381 respectively, thereby obtaining a privacy encrypted data stream; key data leakage is effectively avoided, and the safety of the data is greatly improved; then the data encryption module transmits the privacy encryption data to the external environment to realize data sharing;
the data monitoring module is used for carrying out sharing monitoring on the image data stored by the cloud platform, generating a sharing signal when the image data is monitored to be sent to an external environment, and sending the sharing signal to the signal analysis module; the signal analysis module is used for receiving the sharing signal transmitted by the data monitoring module and carrying out update coefficient analysis, and judging whether the corresponding image data needs to be updated or not, specifically comprising the following steps:
when the sharing signal is monitored, recording sharing information, wherein the sharing information comprises sharing time;
counting the total sharing times of the corresponding image data as C1 in a preset time; performing time difference calculation on adjacent sharing moments to obtain a sharing interval GTi; comparing the sharing interval GTi with a preset interval threshold; counting the times that the GTi is smaller than a preset interval threshold value as P1; when the GTi is smaller than a preset interval threshold, obtaining a difference value of the GTi and the preset interval threshold, and summing to obtain a difference total value CZ, and calculating to obtain a difference coefficient CF by using a formula CF=P1×a1+CZ×a2, wherein a1 and a2 are preset scale factors;
normalizing the shared total times and the difference coefficient and taking the numerical value; calculating to obtain an update coefficient GX by using a formula GX=C1×a3+CF×a4, wherein a3 and a4 are both preset scale factors;
comparing the update coefficient GX with a preset update threshold value, and if GX is larger than the preset update threshold value, generating a data update instruction; the data updating instruction carries a data attribute identifier;
the signal analysis module is used for transmitting the data updating instruction to the control center, and the control center receives the data updating instruction and then sends reminding information comprising the data updating instruction to the mobile terminal associated with the control center so as to remind a manager of the mobile terminal to update the corresponding image data, thereby improving the application value of the data.
The image data sharing method based on the cloud platform comprises the following steps:
step one: the user sends a data sharing request to the control center through the request uploading module, and the control center invokes corresponding image data from the cloud platform by utilizing the data interaction module;
step two: dividing the image data returned by the data interaction module into public data and private data through the data processing module; encrypting the private data by utilizing a data encryption module;
step three: generating a sharing signal when the image data is monitored to be sent to an external environment; and carrying out update coefficient analysis on the image data according to the sharing signal, and judging whether the corresponding image data needs to be updated or not.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The working principle of the invention is as follows:
the image data sharing method and system based on the cloud platform are characterized in that when in work, a request uploading module is used for a user to send a data sharing request to a control center, and the control center sends the corresponding data sharing request to a data interaction module; the data interaction module is used for calling corresponding image data from the cloud platform and returning the called image data to the control center; the data processing module is used for processing the image data returned by the data interaction module, firstly uploading the returned image data to an internal data conversion section and judging whether the returned image data is virus data or not; if the image data is virus data, stopping sending the image data to an external environment; if the image data is not the virus data, selecting whether encryption is needed according to the security level information of the corresponding image data, marking the image data which is not needed to be encrypted as public data, and marking the image data which is needed to be encrypted as private data; encrypting the private data by utilizing a data encryption module; key data leakage is effectively avoided, and the safety of the data is greatly improved; then the data encryption module transmits the privacy encryption data to the external environment to realize data sharing;
the data monitoring module is used for carrying out sharing monitoring on the image data stored by the cloud platform, and generating a sharing signal when the image data is monitored to be sent to an external environment; the signal analysis module is used for carrying out update coefficient analysis according to the shared signal, judging whether the corresponding image data needs to be updated, and generating a data update instruction if the update coefficient GX is larger than a preset update threshold value; after receiving the data updating instruction, the control center sends reminding information comprising the data updating instruction to the mobile terminal associated with the control center so as to remind a manager of the mobile terminal to update the corresponding image data, thereby improving the application value of the data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (7)

1. The image data sharing system based on the cloud platform is characterized by comprising a request uploading module, a data interaction module, a data processing module, a data monitoring module, the cloud platform and a signal analysis module;
the request uploading module is used for sending a data sharing request to the control center by a user; the control center sends a corresponding data sharing request to the data interaction module; the data interaction module is used for analyzing the data sharing request content, calling corresponding image data from the cloud platform and returning the called image data to the control center; the image data carries security level information and a first public key;
the data processing module is connected with the control center and is used for processing the image data returned by the data interaction module; marking the image data which does not need to be encrypted as public data, and marking the image data which needs to be encrypted as private data; encrypting the private data by utilizing a data encryption module;
the data monitoring module is used for carrying out sharing monitoring on the image data stored by the cloud platform, generating a sharing signal when the image data is monitored to be sent to an external environment, and sending the sharing signal to the signal analysis module; the signal analysis module is used for receiving the sharing signal transmitted by the data monitoring module and analyzing the update coefficient GX to judge whether the corresponding image data needs to be updated or not.
2. The cloud platform-based image data sharing system according to claim 1, wherein the specific processing steps of the data processing module are as follows:
establishing an internal data conversion interval, and connecting the internal data conversion interval with a virus library;
uploading the returned image data to an internal data conversion interval, and judging whether the returned image data is virus data or not; if the image data is virus data, stopping sending the image data to an external environment; if the image data is not virus data, allowing the image data to be sent to an external environment;
when the corresponding image data is not virus data, selecting whether encryption is needed according to the security level information of the corresponding image data, specifically: acquiring security level information of corresponding image data, and marking the security level information as M1; comparing M1 with a set value; if M1 is larger than the set value, judging that the corresponding image data needs to be encrypted; otherwise no encryption is required.
3. The cloud platform-based image data sharing system according to claim 1, wherein the specific encryption steps of the data encryption module are:
converting the privacy data into a privacy data stream, wherein the privacy data stream consists of n unit codes; decomposing the privacy data stream into data stream segments taking k bit unit codes as a group, wherein k is a preset value,
generating corresponding check codes according to the obtained data stream segments, and adding the check codes to the back of the corresponding data stream segments to form new data stream segments; the new data stream segments are each bls12-381 encrypted using the first public key to obtain a private encrypted data stream.
4. The cloud platform-based image data sharing system according to claim 3, wherein the data encryption module is configured to send the privacy encrypted data to an external environment to realize data sharing.
5. The cloud platform based image data sharing system of claim 1, wherein the specific analysis steps of the signal analysis module are:
when the sharing signal is monitored, recording sharing information, wherein the sharing information comprises sharing time; counting the total sharing times of the corresponding image data as C1 in a preset time;
performing time difference calculation on adjacent sharing moments to obtain a sharing interval GTi; comparing the sharing interval GTi with a preset interval threshold value, and calculating to obtain a difference coefficient CF; calculating to obtain an update coefficient GX by using a formula GX=C1×a3+CF×a4, wherein a3 and a4 are both preset scale factors;
comparing the update coefficient GX with a preset update threshold value, and if GX is larger than the preset update threshold value, generating a data update instruction; the data updating instruction carries a data attribute identifier;
the signal analysis module is used for transmitting the data updating instruction to the control center, and the control center receives the data updating instruction and then sends reminding information comprising the data updating instruction to the mobile terminal associated with the control center so as to remind a manager of the mobile terminal of updating the corresponding image data.
6. The cloud platform based image data sharing system of claim 5, wherein the specific calculation process of the difference coefficient CF is:
counting the times that the GTi is smaller than a preset interval threshold value as P1; when the GTi is smaller than the preset interval threshold, obtaining the difference between the GTi and the preset interval threshold, summing to obtain a total difference value CZ, and calculating to obtain a difference coefficient CF by using a formula cf=p1×a1+cz×a2, wherein a1 and a2 are both preset scale factors.
7. The image data sharing method based on the cloud platform, which is applied to the image data sharing system based on the cloud platform as claimed in any one of claims 1 to 6, is characterized by comprising the following steps:
step one: the user sends a data sharing request to the control center through the request uploading module, and the control center invokes corresponding image data from the cloud platform by utilizing the data interaction module;
step two: dividing the image data returned by the data interaction module into public data and private data through the data processing module; encrypting the private data by utilizing a data encryption module;
step three: generating a sharing signal when the image data is monitored to be sent to an external environment; and carrying out update coefficient analysis on the image data according to the sharing signal, and judging whether the corresponding image data needs to be updated or not.
CN202211104483.0A 2022-09-09 2022-09-09 Image data sharing method and system based on cloud platform Pending CN116303307A (en)

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