CN116431392A - Important data separation method and device - Google Patents
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Abstract
The invention discloses a method and a device for separating important data. Wherein the method comprises the following steps: acquiring a target data set; extracting important weight identifiers in the target data set, and grading the important weight identifiers to obtain data weight ordering; extracting data exceeding a preset weight threshold value in the data weight sorting to obtain an important data set; and stripping the important data set from the target data set to obtain target important data. The invention solves the technical problems that in the prior art, the method for identifying and separating important data of an informatization system only extracts fixed rules of data or unique identifications of data to obtain important data, and the method cannot play a stable important data separation effect when the data volume is large and complex and the information safety important data limit requirement degree is high.
Description
Technical Field
The invention relates to the field of data security and identification, in particular to a method and a device for separating important data.
Background
Along with the continuous development of intelligent science and technology, intelligent equipment is increasingly used in life, work and study of people, and the quality of life of people is improved and the learning and working efficiency of people is increased by using intelligent science and technology means.
At present, aiming at the informatization times when the information security events occur, the security level and the guarantee means of various information systems are different, and important data or key information in the informatization system or the informatization platform is backed up and stored when the information security events occur, so that the important data loss is avoided. However, in the prior art, the method for identifying and separating important data of an informatization system only extracts fixed rules of the data or unique identifications of the data to obtain important data, and cannot play a stable important data separation effect when the data volume is large and complex and the information safety important data limit requirement degree is high.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for separating important data, which at least solve the technical problems that in the prior art, the method for identifying and separating important data of an informatization system only extracts fixed rules of data or unique identifications of data to obtain important data, and the stable important data separation effect cannot be exerted when the data volume is large and complex and the information safety important data limit requirement degree is high.
According to an aspect of an embodiment of the present invention, there is provided an important data separation method including: acquiring a target data set; extracting important weight identifiers in the target data set, and grading the important weight identifiers to obtain data weight ordering; extracting data exceeding a preset weight threshold value in the data weight sorting to obtain an important data set; and stripping the important data set from the target data set to obtain target important data.
Optionally, the target data set includes: important data, general data.
Optionally, extracting the important weight identifier in the target data set, and grading the important weight identifier, so as to obtain the data weight ordering includes: acquiring a preset grading processing matrix; extracting important weight identifiers of all data in the target data set, wherein the important weight identifiers represent the importance degree of each data existing in the target data set; carrying out hierarchical sorting treatment on the important weight identifiers according to the preset hierarchical treatment matrix to obtain identifier sorting information; and generating the data weight sequence according to the identification sequence information.
Optionally, extracting the data exceeding the preset weight threshold in the data weight sorting, to obtain an important data set includes: acquiring the preset weight threshold according to the important data stripping requirement; comparing the preset weight threshold with the data elements in the data weight sequence to obtain a comparison result, wherein the comparison result comprises all important data exceeding the preset weight threshold; and generating the important data set according to the comparison result.
According to another aspect of the embodiment of the present invention, there is also provided an important data separating apparatus, including: the acquisition module is used for acquiring a target data set; the processing module is used for extracting important weight identifiers in the target data set, and grading the important weight identifiers to obtain data weight ordering; the extraction module is used for extracting the data exceeding the preset weight threshold value in the data weight sorting to obtain an important data set; and the stripping module is used for stripping the important data set from the target data set to obtain target important data.
Optionally, the target data set includes: important data, general data.
Optionally, the processing module includes: the acquisition unit is used for acquiring a preset grading processing matrix; an extraction unit, configured to extract importance weight identifiers of all data in the target data set, where the importance weight identifiers characterize importance degrees of each data existing in the target data set; the sorting unit is used for carrying out hierarchical sorting processing on the important weight identifiers according to the preset hierarchical processing matrix to obtain identifier sorting information; and the generating unit is used for generating the data weight sequence according to the identification sequence information.
Optionally, the extracting module includes: the acquisition unit is used for acquiring the preset weight threshold according to the important data stripping requirement; the comparison unit is used for comparing the preset weight threshold value with the data elements in the data weight sequence to obtain a comparison result, wherein the comparison result comprises all important data exceeding the preset weight threshold value; and the generating unit is used for generating the important data set according to the comparison result.
According to another aspect of the embodiment of the present invention, there is also provided a nonvolatile storage medium including a stored program, where the program when executed controls a device in which the nonvolatile storage medium is located to execute a method of separating important data.
According to another aspect of the embodiment of the present invention, there is also provided an electronic device including a processor and a memory; the memory stores computer readable instructions, and the processor is configured to execute the computer readable instructions, where the computer readable instructions execute a method for separating important data when executed.
In the embodiment of the invention, the acquisition target data set is adopted; extracting important weight identifiers in the target data set, and grading the important weight identifiers to obtain data weight ordering; extracting data exceeding a preset weight threshold value in the data weight sorting to obtain an important data set; the method for stripping the important data set from the target data set to obtain the target important data solves the technical problems that in the prior art, the method for identifying and separating important data of an informatization system only extracts fixed rules of data or unique identifications of the data to obtain important data, and the stable important data separation effect cannot be achieved when the data size is large and complex and the information safety important data limit requirement degree is high.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a flow chart of a method of separating important data according to an embodiment of the present invention;
FIG. 2 is a block diagram of an important data separating apparatus according to an embodiment of the present invention;
fig. 3 is a block diagram of a terminal device for performing the method according to the invention according to an embodiment of the invention;
fig. 4 is a memory unit for holding or carrying program code for implementing a method according to the invention, according to an embodiment of the invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent 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 present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present invention, there is provided a method embodiment of an important data separation method, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
Example 1
Fig. 1 is a flowchart of a method for separating important data according to an embodiment of the present invention, as shown in fig. 1, the method includes the steps of:
step S102, a target data set is acquired.
Step S104, extracting important weight identifiers in the target data set, and grading the important weight identifiers to obtain data weight ordering.
And S106, extracting the data exceeding the preset weight threshold in the data weight sorting to obtain an important data set.
And S108, stripping the important data set from the target data set to obtain target important data.
Optionally, the target data set includes: important data, general data.
Optionally, extracting the important weight identifier in the target data set, and grading the important weight identifier, so as to obtain the data weight ordering includes: acquiring a preset grading processing matrix; extracting important weight identifiers of all data in the target data set, wherein the important weight identifiers represent the importance degree of each data existing in the target data set; carrying out hierarchical sorting treatment on the important weight identifiers according to the preset hierarchical treatment matrix to obtain identifier sorting information; and generating the data weight sequence according to the identification sequence information.
Optionally, extracting the data exceeding the preset weight threshold in the data weight sorting, to obtain an important data set includes: acquiring the preset weight threshold according to the important data stripping requirement; comparing the preset weight threshold with the data elements in the data weight sequence to obtain a comparison result, wherein the comparison result comprises all important data exceeding the preset weight threshold; and generating the important data set according to the comparison result.
By the embodiment, the technical problems that in the prior art, a method for identifying and separating important data of an informatization system is only to extract fixed rules of the data or unique identifications of the data to obtain important data, and a stable important data separation effect cannot be achieved when the data size is large and complex and the information safety important data limit requirement degree is high are solved.
Example two
Fig. 2 is a block diagram of an apparatus for separating important data according to an embodiment of the present invention, as shown in fig. 2, the apparatus comprising:
an acquisition module 20, configured to acquire a target data set.
And the processing module 22 is used for extracting the important weight identifiers in the target data set, and grading the important weight identifiers to obtain data weight ordering.
And the extracting module 24 is configured to extract data exceeding a preset weight threshold in the data weight sorting, so as to obtain an important data set.
And the stripping module 26 is configured to strip the important data set from the target data set to obtain target important data.
Optionally, the target data set includes: important data, general data.
Optionally, extracting the important weight identifier in the target data set, and grading the important weight identifier, so as to obtain the data weight ordering includes: acquiring a preset grading processing matrix; extracting important weight identifiers of all data in the target data set, wherein the important weight identifiers represent the importance degree of each data existing in the target data set; carrying out hierarchical sorting treatment on the important weight identifiers according to the preset hierarchical treatment matrix to obtain identifier sorting information; and generating the data weight sequence according to the identification sequence information.
Optionally, extracting the data exceeding the preset weight threshold in the data weight sorting, to obtain an important data set includes: acquiring the preset weight threshold according to the important data stripping requirement; comparing the preset weight threshold with the data elements in the data weight sequence to obtain a comparison result, wherein the comparison result comprises all important data exceeding the preset weight threshold; and generating the important data set according to the comparison result.
By the embodiment, the technical problems that in the prior art, a method for identifying and separating important data of an informatization system is only to extract fixed rules of the data or unique identifications of the data to obtain important data, and a stable important data separation effect cannot be achieved when the data size is large and complex and the information safety important data limit requirement degree is high are solved.
According to another aspect of the embodiment of the present invention, there is also provided a nonvolatile storage medium including a stored program, where the program when executed controls a device in which the nonvolatile storage medium is located to execute a method of separating important data.
Specifically, the method comprises the following steps: acquiring a target data set; extracting important weight identifiers in the target data set, and grading the important weight identifiers to obtain data weight ordering; extracting data exceeding a preset weight threshold value in the data weight sorting to obtain an important data set; and stripping the important data set from the target data set to obtain target important data. Optionally, the target data set includes: important data, general data. Optionally, extracting the important weight identifier in the target data set, and grading the important weight identifier, so as to obtain the data weight ordering includes: acquiring a preset grading processing matrix; extracting important weight identifiers of all data in the target data set, wherein the important weight identifiers represent the importance degree of each data existing in the target data set; carrying out hierarchical sorting treatment on the important weight identifiers according to the preset hierarchical treatment matrix to obtain identifier sorting information; and generating the data weight sequence according to the identification sequence information. Optionally, extracting the data exceeding the preset weight threshold in the data weight sorting, to obtain an important data set includes: acquiring the preset weight threshold according to the important data stripping requirement; comparing the preset weight threshold with the data elements in the data weight sequence to obtain a comparison result, wherein the comparison result comprises all important data exceeding the preset weight threshold; and generating the important data set according to the comparison result.
According to another aspect of the embodiment of the present invention, there is also provided an electronic device including a processor and a memory; the memory stores computer readable instructions, and the processor is configured to execute the computer readable instructions, where the computer readable instructions execute a method for separating important data when executed.
Specifically, the method comprises the following steps: acquiring a target data set; extracting important weight identifiers in the target data set, and grading the important weight identifiers to obtain data weight ordering; extracting data exceeding a preset weight threshold value in the data weight sorting to obtain an important data set; and stripping the important data set from the target data set to obtain target important data. Optionally, the target data set includes: important data, general data. Optionally, extracting the important weight identifier in the target data set, and grading the important weight identifier, so as to obtain the data weight ordering includes: acquiring a preset grading processing matrix; extracting important weight identifiers of all data in the target data set, wherein the important weight identifiers represent the importance degree of each data existing in the target data set; carrying out hierarchical sorting treatment on the important weight identifiers according to the preset hierarchical treatment matrix to obtain identifier sorting information; and generating the data weight sequence according to the identification sequence information. Optionally, extracting the data exceeding the preset weight threshold in the data weight sorting, to obtain an important data set includes: acquiring the preset weight threshold according to the important data stripping requirement; comparing the preset weight threshold with the data elements in the data weight sequence to obtain a comparison result, wherein the comparison result comprises all important data exceeding the preset weight threshold; and generating the important data set according to the comparison result.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, fig. 3 is a schematic hardware structure of a terminal device according to an embodiment of the present application. As shown in fig. 3, the terminal device may include an input device 30, a processor 31, an output device 32, a memory 33, and at least one communication bus 34. The communication bus 34 is used to enable communication connections between the elements. The memory 33 may comprise a high-speed RAM memory or may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, in which various programs may be stored for performing various processing functions and implementing the method steps of the present embodiment.
Alternatively, the processor 31 may be implemented as, for example, a central processing unit (Central Processing Unit, abbreviated as CPU), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and the processor 31 is coupled to the input device 30 and the output device 32 through wired or wireless connections.
Alternatively, the input device 30 may include a variety of input devices, for example, may include at least one of a user-oriented user interface, a device-oriented device interface, a programmable interface of software, a camera, and a sensor. Optionally, the device interface facing the device may be a wired interface for data transmission between devices, or may be a hardware insertion interface (such as a USB interface, a serial port, etc.) for data transmission between devices; alternatively, the user-oriented user interface may be, for example, a user-oriented control key, a voice input device for receiving voice input, and a touch-sensitive device (e.g., a touch screen, a touch pad, etc. having touch-sensitive functionality) for receiving user touch input by a user; optionally, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, for example, an input pin interface or an input interface of a chip, etc.; optionally, the transceiver may be a radio frequency transceiver chip, a baseband processing chip, a transceiver antenna, etc. with a communication function. An audio input device such as a microphone may receive voice data. The output device 32 may include a display, audio, or the like.
In this embodiment, the processor of the terminal device may include functions for executing each module of the data processing apparatus in each device, and specific functions and technical effects may be referred to the above embodiments and are not described herein again.
Fig. 4 is a schematic hardware structure of a terminal device according to another embodiment of the present application. Fig. 4 is a specific embodiment of the implementation of fig. 3. As shown in fig. 4, the terminal device of the present embodiment includes a processor 41 and a memory 42.
The processor 41 executes the computer program code stored in the memory 42 to implement the methods of the above-described embodiments.
The memory 42 is configured to store various types of data to support operation at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, pictures, video, etc. The memory 42 may include a random access memory (random access memory, simply referred to as RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
Optionally, a processor 41 is provided in the processing assembly 40. The terminal device may further include: a communication component 43, a power supply component 44, a multimedia component 45, an audio component 46, an input/output interface 47 and/or a sensor component 48. The components and the like specifically included in the terminal device are set according to actual requirements, which are not limited in this embodiment.
The processing component 40 generally controls the overall operation of the terminal device. The processing component 40 may include one or more processors 41 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 40 may include one or more modules that facilitate interactions between the processing component 40 and other components. For example, processing component 40 may include a multimedia module to facilitate interaction between multimedia component 45 and processing component 40.
The power supply assembly 44 provides power to the various components of the terminal device. Power supply components 44 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for terminal devices.
The multimedia component 45 comprises a display screen between the terminal device and the user providing an output interface. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation.
The audio component 46 is configured to output and/or input audio signals. For example, the audio component 46 includes a Microphone (MIC) configured to receive external audio signals when the terminal device is in an operational mode, such as a speech recognition mode. The received audio signals may be further stored in the memory 42 or transmitted via the communication component 43. In some embodiments, audio assembly 46 further includes a speaker for outputting audio signals.
The input/output interface 47 provides an interface between the processing assembly 40 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include, but are not limited to: volume button, start button and lock button.
The sensor assembly 48 includes one or more sensors for providing status assessment of various aspects for the terminal device. For example, the sensor assembly 48 may detect the open/closed state of the terminal device, the relative positioning of the assembly, the presence or absence of user contact with the terminal device. The sensor assembly 48 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 48 may also include a camera or the like.
The communication component 43 is configured to facilitate communication between the terminal device and other devices in a wired or wireless manner. The terminal device may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot, where the SIM card slot is used to insert a SIM card, so that the terminal device may log into a GPRS network, and establish communication with a server through the internet.
From the above, it will be appreciated that the communication component 43, the audio component 46, and the input/output interface 47, the sensor component 48 referred to in the embodiment of fig. 4 may be implemented as an input device in the embodiment of fig. 3.
In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (10)
1. A method of separating important data, comprising:
acquiring a target data set;
extracting important weight identifiers in the target data set, and grading the important weight identifiers to obtain data weight ordering;
extracting data exceeding a preset weight threshold value in the data weight sorting to obtain an important data set;
and stripping the important data set from the target data set to obtain target important data.
2. The method of claim 1, wherein the target data set comprises: important data, general data.
3. The method of claim 1, wherein extracting the important weight identifiers in the target data set and grading the important weight identifiers to obtain a data weight ranking comprises:
acquiring a preset grading processing matrix;
extracting important weight identifiers of all data in the target data set, wherein the important weight identifiers represent the importance degree of each data existing in the target data set;
carrying out hierarchical sorting treatment on the important weight identifiers according to the preset hierarchical treatment matrix to obtain identifier sorting information;
and generating the data weight sequence according to the identification sequence information.
4. The method of claim 1, wherein extracting the data exceeding the preset weight threshold in the data weight ranking to obtain the important data set comprises:
acquiring the preset weight threshold according to the important data stripping requirement;
comparing the preset weight threshold with the data elements in the data weight sequence to obtain a comparison result, wherein the comparison result comprises all important data exceeding the preset weight threshold;
and generating the important data set according to the comparison result.
5. An important data separating apparatus, characterized by comprising:
the acquisition module is used for acquiring a target data set;
the processing module is used for extracting important weight identifiers in the target data set, and grading the important weight identifiers to obtain data weight ordering;
the extraction module is used for extracting the data exceeding the preset weight threshold value in the data weight sorting to obtain an important data set;
and the stripping module is used for stripping the important data set from the target data set to obtain target important data.
6. The apparatus of claim 5, wherein the target data set comprises: important data, general data.
7. The apparatus of claim 5, wherein the processing module comprises:
the acquisition unit is used for acquiring a preset grading processing matrix;
an extraction unit, configured to extract importance weight identifiers of all data in the target data set, where the importance weight identifiers characterize importance degrees of each data existing in the target data set;
the sorting unit is used for carrying out hierarchical sorting processing on the important weight identifiers according to the preset hierarchical processing matrix to obtain identifier sorting information;
and the generating unit is used for generating the data weight sequence according to the identification sequence information.
8. The apparatus of claim 5, wherein the extraction module comprises:
the acquisition unit is used for acquiring the preset weight threshold according to the important data stripping requirement;
the comparison unit is used for comparing the preset weight threshold value with the data elements in the data weight sequence to obtain a comparison result, wherein the comparison result comprises all important data exceeding the preset weight threshold value;
and the generating unit is used for generating the important data set according to the comparison result.
9. A non-volatile storage medium, characterized in that the non-volatile storage medium comprises a stored program, wherein the program, when run, controls a device in which the non-volatile storage medium is located to perform the method of any one of claims 1 to 4.
10. An electronic device comprising a processor and a memory; the memory has stored therein computer readable instructions for executing the processor, wherein the computer readable instructions when executed perform the method of any of claims 1 to 4.
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| CN202310458159.7A CN116431392A (en) | 2023-04-26 | 2023-04-26 | Important data separation method and device |
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