WO2018027461A1

WO2018027461A1 - Method and system for encryption and comparison of big data

Info

Publication number: WO2018027461A1
Application number: PCT/CN2016/093929
Authority: WO
Inventors: 马岩
Original assignee: 深圳市博信诺达经贸咨询有限公司
Priority date: 2016-08-08
Filing date: 2016-08-08
Publication date: 2018-02-15

Abstract

A method and system for encryption and comparison of big data. The method comprises the following steps: capturing each piece of encrypted data in big data (101); comparing each piece of encrypted data (102); and making statistics on a comparison result to acquire the accuracy of the encryption (103). The method and system have the advantage of high accuracy.

Description

Big data encryption comparison method and system

Technical field

The present invention relates to the field of big data, and in particular to a method and system for encrypting large data.

Background technique

Big data (big Data), or massive data, refers to the massive, high-growth, and diverse information assets that require new processing models to have greater decision-making, insight, and process optimization capabilities. In Victor · Meyer Schonberg and Kenneth Big data in the Big Data Era written by Cookey refers to the use of all data for analysis without the use of random analysis (sample survey). 4V features of big data: Volume, Velocity, Variety, Value.

Existing big data cannot be encrypted and compared with poor accuracy.

technical problem

A method for encrypting alignment of big data is provided, which solves the disadvantage of poor accuracy of the prior art.

Technical solution

In one aspect, a method of encryption alignment of big data is provided, the method comprising the steps of:

Grab each encrypted data in big data;

Comparing each encrypted data;

The comparison result is counted to obtain the accuracy of the encryption.

Optionally, the method further includes:

This accuracy is analyzed.

Optionally, the method further includes:

Based on the analysis results, a comparative analysis diagram of big data is drawn.

In another aspect, a system for encryption comparison of big data is provided, the system comprising:

a crawling unit for capturing each encrypted data in the big data;

a comparison unit, configured to compare each encrypted data;

A statistical unit for counting the comparison result to obtain the accuracy of the encryption.

Optionally, the system further includes:

An analysis unit for analyzing the accuracy.

Optionally, the system further includes:

A drawing unit is used to draw a comparative analysis diagram of big data according to the analysis result.

Beneficial effect

The technical solution provided by the specific embodiment of the present invention captures each encrypted data in the big data, compares each encrypted data, and compares the comparison result to obtain the accuracy of the encryption, so that it has the advantage of good accuracy.

DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.

1 is a flowchart of a method for encrypting and comparing big data according to the present invention;

FIG. 2 is a structural diagram of a system for encrypting and comparing big data according to the present invention.

Embodiments of the invention

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Referring to FIG. 1, FIG. 1 is a flowchart of a method for providing encryption comparison of big data according to a first preferred embodiment of the present invention. The method is implemented by a server. The method is as shown in FIG. 1 and includes the following steps:

Step S101: Grab each encrypted data in the big data;

Step S102, comparing each encrypted data;

Step S103: Statistics the comparison result to obtain the accuracy of the encryption.

Optionally, after the step S103, the foregoing method may further include:

This accuracy is analyzed.

Optionally, after the step S103, the foregoing method may further include:

Referring to FIG. 2, FIG. 2 is a system for providing encryption comparison of big data according to a second preferred embodiment of the present invention. The system includes:

The crawling unit 201 is configured to capture each encrypted data in the big data;

The comparing unit 202 is configured to compare each encrypted data.

The statistic unit 203 is configured to collect the comparison result to obtain the accuracy of the encryption.

Optionally, the above system may further include:

The analyzing unit 204 is configured to analyze the accuracy.

Optionally, the above system may further include:

The drawing unit 205 is configured to draw a comparative analysis diagram of the big data according to the analysis result.

It should be noted that, for the foregoing method embodiments or embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not subject to the described action sequence. Limitations, as certain steps may be performed in other sequences or concurrently in accordance with the present invention. In the following, those skilled in the art should also understand that the embodiments or examples described in the specification are preferred embodiments, and the actions and units involved are not necessarily required by the present invention.

In the above embodiments, the descriptions of the various embodiments are different, and the details that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.

The steps in the method of the embodiment of the present invention may be sequentially adjusted, merged, and deleted according to actual needs.

The units in the apparatus of the embodiment of the present invention may be combined, divided, and deleted according to actual needs. Those skilled in the art can combine or combine the different embodiments described in the specification and the features of the different embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware, firmware implementation, or a combination thereof. When implemented in software, the functions described above may be stored in or transmitted as one or more instructions or code on a computer readable medium. Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another. A storage medium may be any available media that can be accessed by a computer. Taking this as an example, but not limited to: the computer readable medium may include random access memory (Random) Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Compact Disc Read-Only Memory, CD-ROM, or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium. For example, if the software is using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (Digital Subscriber Line, DSL) or wireless technology such as infrared, radio and microwave transmission from a website, server or other remote source, then coaxial cable, fiber optic cable, twisted pair, DSL or such as infrared, wireless and microwave Wireless technology is included in the fixing of the associated medium. As used in the present invention, a disk and a disc include a compact disc (CD), a laser disc, a compact disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.

In summary, the above description is only a preferred embodiment of the technical solution of the present invention, and is not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

A method for encrypting and aligning big data, characterized in that the method comprises the following steps:

Grab each encrypted data in big data;

Comparing each encrypted data;

The comparison result is counted to obtain the accuracy of the encryption.
The method of claim 1 further comprising:

This accuracy is analyzed.
The method of claim 1 further comprising:

Based on the analysis results, a comparative analysis diagram of big data is drawn.
A system for encrypting large data, characterized in that the system comprises:

a crawling unit for capturing each encrypted data in the big data;

a comparison unit, configured to compare each encrypted data;

A statistical unit for counting the comparison result to obtain the accuracy of the encryption.
The system of claim 4, wherein the system further comprises:

An analysis unit for analyzing the accuracy.
The system of claim 4, wherein the system further comprises:

A drawing unit is used to draw a comparative analysis diagram of big data according to the analysis result.