CN110969013A - Big data analysis data collection system with detection structure - Google Patents
Big data analysis data collection system with detection structure Download PDFInfo
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- CN110969013A CN110969013A CN201911161927.2A CN201911161927A CN110969013A CN 110969013 A CN110969013 A CN 110969013A CN 201911161927 A CN201911161927 A CN 201911161927A CN 110969013 A CN110969013 A CN 110969013A
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- 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
- G06F21/561—Virus type analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0876—Network architectures or network communication protocols for network security for authentication of entities based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/30—Network architectures or network communication protocols for network security for supporting lawful interception, monitoring or retaining of communications or communication related information
Abstract
The invention relates to a data collection system for big data analysis with a detection structure, which comprises an i5 processor and an authentication module, wherein the input end of the i5 processor is electrically connected with an operating system, the output end of the i5 processor is electrically connected with a login system, the output end of the login system is electrically connected with an authentication module, the output end of the authentication module is electrically connected with a real-name login module, and the input end of the real-name login module is respectively and electrically connected with an authentication unit and an auditing unit. Resulting in the database storing a large amount of unnecessary data.
Description
Technical Field
The invention relates to the technical field of big data storage, in particular to a big data analysis data collection system with a detection structure.
Background
With the explosive growth of big data applications, which have derived their own unique architecture and have directly driven the development of storage, networking and computing technologies, after all, the special requirement of handling big data is a new challenge, and the development of hardware is finally driven by the software requirement, for this example, IT is obvious that the big data analysis application requirement is affecting the development of data storage infrastructure, where "big data" generally refers to data sets that are huge in quantity and difficult to collect, process and analyze, and also refers to data that are stored in the traditional infrastructure for a long time, where "big" has several layers of meaning, can describe the size of the organization, and more importantly, IT defines the size of the IT infrastructure in an enterprise, the more value that the industry has given infinite expected business information accumulation for big data applications, the more value we need a method to mine these values, big data can directly construct a data collection system between the internet and a client, so that the difficulty of data collection is reduced while big data storage is met.
The existing data collection system cannot record the use credit of a user in use, so that some extreme users can record error information, junk information, virus information and pornographic information in big data through the data collection system, a large amount of repeated data is easy to appear in the big data, and unnecessary load is increased.
Disclosure of Invention
The invention aims to provide a data collection system for big data analysis with a detection structure, which aims to solve the problems that the prior data collection system proposed in the background art cannot record the use credit of a user in use, so that some extreme users record error information, junk information, virus information and pornographic information in the big data through the data collection system, and a large amount of repeated data is easy to appear in the big data, so that unnecessary load is increased.
In order to achieve the purpose, the invention provides the following technical scheme: a data collection system with a detection structure for big data analysis comprises an i5 processor and an authentication module, wherein the input end of the i5 processor is electrically connected with an operating system, the output end of the i5 processor is electrically connected with a login system, the output end of the login system is electrically connected with an authentication module, the output end of the authentication module is electrically connected with a real-name login module, the input end of the real-name login module is respectively and electrically connected with an authentication unit and an auditing unit, the output end of the real-name login module is electrically connected with a credit evaluation system, the output end of the i5 processor is electrically connected with a first storage unit, the output end of the first storage unit is electrically connected with a distribution system, the output end of the distribution system is respectively and electrically connected with a classification module and a comparison module, and the output end of the classification module is electrically connected with a category classification, the output of kind classification module electric connection has regional classification module and name respectively and checks the module, the output electric connection who compares the module has detection module, and detection module's output electric connection has rubbish to smash unit, mark protection unit and arrangement sequencing unit respectively, the output electric connection of rubbish crushing unit, mark protection unit, arrangement sequencing unit has the integration terminal, and the output electric connection who integrates the terminal has the second storage unit.
Preferably, the real-name login module is electrically connected with the authentication unit and the auditing unit in parallel, and the login module is electrically connected with the login system in series through the credit evaluation system.
Preferably, the category classification module is electrically connected in parallel with the region classification module and the name check module, and the category classification module is electrically connected in series with the comparison module and the integration terminal through the region classification module and the name check module, respectively.
Preferably, the distribution system is electrically connected in parallel with the classification module and the comparison module, and the distribution system is electrically connected in series with the classification module and the comparison module respectively.
Preferably, the name checking module comprises a same word marking unit, a synonym marking unit and a keyword marking unit, and the output end of the name checking module is electrically connected with the same word marking unit, the synonym marking unit and the keyword marking unit respectively.
Preferably, the name checking module is electrically connected in parallel with the same word marking unit, the synonym marking unit and the keyword marking unit respectively, and the same word marking unit, the synonym marking unit and the keyword marking unit are electrically connected in series.
Preferably, the detection module comprises an error information detection unit, a spam information detection unit, a virus information detection unit and a pornographic information detection unit, and the output end of the detection module is electrically connected with the error information detection unit, the spam information detection unit, the virus information detection unit and the pornographic information detection unit respectively.
Preferably, the detection module is electrically connected in parallel through the error information detection unit, the spam information detection unit, the virus information detection unit and the pornographic information detection unit, and the error information detection unit, the spam information detection unit, the virus information detection unit and the pornographic information detection unit are electrically connected in series.
Preferably, the detection module is electrically connected with the integrated terminal in series through the garbage crushing unit, the labeling protection unit and the sorting unit, and the detection module is electrically connected with the sorting unit in parallel through the garbage crushing unit, the labeling protection unit and the sorting unit.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, through the arrangement of the login system, the login module and the credit evaluation system, the login module is electrically connected in series with the login system through the credit evaluation system, when a user directly stores data in a large database through the Internet, the user can log in real name through the login system, the identity of an applicant needs to be checked through the authentication unit and the checking unit during login, and the credit evaluation system records the user, so that the situation that some users with low evaluation credit continuously transmit some junk information to the large data to cause the database to store a large amount of unnecessary data is prevented.
2. According to the invention, through the arrangement of the distribution system, the classification module and the comparison module, the distribution system is respectively connected with the classification module and the comparison module in series, the distribution system classifies according to the evaluation of users, and some users with low credit rate need to filter and screen repeated information through the classification module and then detect the repeated information through the comparison module and the detection module, so that the prevention effect is achieved.
3. According to the invention, through the arrangement of the category classification module, the area classification module, the name check module, the comparison module and the integration terminal, the category classification module is electrically connected with the comparison module and the integration terminal in series through the area classification module and the name check module respectively, when a user transmits data to be recorded to the first storage unit, the first storage unit carries out basic storage, the first storage unit can periodically clear the data, and when the data needs to be stored for a long time, the data needs to be transmitted to the second storage unit through various detections and interruptions for long-term storage, wherein the category classification module is a basic classification system and classifies all files, and meanwhile, the comparison module and the detection module can be used for comparing and detecting the information, so that the effects of blocking and defending unnecessary data in the big data are achieved.
4. According to the invention, through the arrangement of the same word marking unit, the synonym marking unit and the keyword marking unit, the same word marking unit, the synonym marking unit and the keyword marking unit are electrically connected in series, and the name checking module marks certain identical information to remind a user that the information is repeated information, so that the effect of reducing the quantity of the transmitted data is achieved, and the effect of improving the efficiency of data input is achieved.
5. The invention relates to a method for detecting the user's reputation, which comprises the steps of setting an error information detection unit, a junk information detection unit, a virus information detection unit and a pornographic information detection unit, wherein the error information detection unit, the junk information detection unit, the virus information detection unit and the pornographic information detection unit are electrically connected in series, a detection module detects the error information, the junk information, the virus information and the pornographic information in data, a reputation evaluation system evaluates the user when detecting that the data is abnormal, and a penalty means can be carried out on the user through speed limiting and black drawing when the reputation of the user is lower than a rated value.
Drawings
FIG. 1 is a system diagram of a data collection system with big data analysis of a detection structure according to the present invention;
FIG. 2 is a schematic diagram of a name checking module system of a big data analysis data collection system with a detection structure according to the present invention;
FIG. 3 is a schematic diagram of a system of detection modules of a big data analysis data collection system with a detection structure according to the present invention.
In the figure: 1. an i5 processor; 2. an operating system; 3. logging in the system; 4. an authentication module; 5. a real name login module; 6. an authentication unit; 7. an auditing unit; 8. a reputation evaluation system; 9. a first storage unit; 10. a distribution system; 11. a classification module; 12. a category classification module; 13. a region classification module; 14. a name checking module; 1401. the same word marking unit; 1402. a synonym marking unit; 1403. a keyword marking unit; 15. a comparison module; 16. a detection module; 1601. an error information detection unit; 1602. a spam detection unit; 1603. a virus information detection unit; 1604. a pornographic information detecting unit; 17. a garbage crushing unit; 18. marking a protection unit; 19. a sorting and ordering unit; 20. integrating the terminals; 21. a second storage unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution: a data collection system with detection structure for big data analysis comprises an i5 processor 1, an operating system 2, a login system 3, an authentication module 4, a real name login module 5, an authentication unit 6, an audit unit 7, a credit evaluation system 8, a first storage unit 9, a distribution system 10, a classification module 11, a category classification module 12, an area classification module 13, a name verification module 14, a same word marking unit 1401, a synonym marking unit 1402, a keyword marking unit 1403, a comparison module 15, a detection module 16, an error information detection unit 1601, a garbage information detection unit 1602, a virus information detection unit 1603, a pornographic information detection unit 1604, a garbage crushing unit 17, a labeling and protection unit 18, a sorting unit 19, an integration terminal 20 and a second storage unit 21, wherein the input end of the i5 processor 1 is electrically connected with the operating system 2, and the output end of the i5 processor 1 is electrically connected with a login system 3, the output end of the login system 3 is electrically connected with an authentication module 4, the output end of the authentication module 4 is electrically connected with a real-name login module 5, the input end of the real-name login module 5 is respectively electrically connected with an authentication unit 6 and a verification unit 7, the output end of the real-name login module 5 is electrically connected with a reputation evaluation system 8, the real-name login module 5 is electrically connected with the authentication unit 6 and the verification unit 7 in parallel, and the login module 5 is electrically connected with the login system 3 in series through the reputation evaluation system 8, when a user directly stores data in a large database through the internet, the user can log in the real name through the login system 3, the identity of the applicant needs to be verified through the authentication unit 6 and the verification unit 7 during login, and the reputation evaluation system 8 records the user, and the method prevents some users with low evaluation reputation from continuously and uninterruptedly transmitting some spam information into the big data, so that the database stores a large amount of unnecessary data.
The output end electric connection of i5 treater 1 has first storage unit 9, and the output electric connection of first storage unit 9 has distribution system 10, distribution system 10's output electric connection has classification module 11 and comparison module 15 respectively, and classification module 11's output electric connection has kind classification module 12, distribution system 10 and classification module 11 and comparison module 15 electric parallel connection, and distribution system 10 respectively with classification module 11 and comparison module 15 electric series connection, distribution system 10 classifies according to user's evaluation, some users that the credit rate is low need filter, the screening through classification module 11 to duplicative information, detect through comparison module 15 and detection module 16 again, reach the prevention effect.
The output end of the category classification module 12 is electrically connected with the area classification module 13 and the name check module 14 respectively, the category classification module 12 is electrically connected with the area classification module 13 and the name check module 14 in parallel, and the category classification module 12 is electrically connected with the comparison module 15 and the integration terminal 20 in series through the area classification module 13 and the name check module 14 respectively, when a user transmits data to be recorded to the first storage unit 9, the first storage unit 9 performs a basic storage, the first storage unit 9 will periodically clear the data, when the data needs to be stored for a long time, the data needs to be transmitted to the second storage unit 21 through various detections and evaluations for a long time storage, wherein the category classification module 12 is a basic classification system to classify files, and simultaneously, the information can be compared and detected through the comparison module 15 and the detection module 16, the effect of blocking and defending unnecessary data in the big data is achieved.
The name checking module 14 comprises a same word marking unit 1401, a synonym marking unit 1402 and a keyword marking unit 1403, the output end of the name checking module 14 is electrically connected with the same word marking unit 1401, the synonym marking unit 1402 and the keyword marking unit 1403 respectively, the name checking module 14 is electrically connected with the same word marking unit 1401, the synonym marking unit 1402 and the keyword marking unit 1403 in parallel respectively, the same word marking unit 1401, the synonym marking unit 1402 and the keyword marking unit 1403 are electrically connected in series, the name checking module 14 marks certain identical and identical information, and reminds a user that the information is repeated information, so that the effect of reducing the quantity of the transmitted data is achieved, and the effect of improving the efficiency of the input data is achieved.
The output end of the comparison module 15 is electrically connected with a detection module 16, the output ends of the detection module 16 are respectively electrically connected with a garbage crushing unit 17, a label protection unit 18 and a sorting and sorting unit 19, the detection module 16 comprises an error information detection unit 1601, a garbage information detection unit 1602, a virus information detection unit 1603 and a pornographic information detection unit 1604, the output end of the detection module 16 is respectively electrically connected with an error information detection unit 1601, a garbage information detection unit 1602, a virus information detection unit 1603 and a pornographic information detection unit 1604, the detection module 16 is electrically connected in parallel through the error information detection unit 1601, the garbage information detection unit 1602, the virus information detection unit 1603 and the pornographic information detection unit 1604, and the error information detection unit 1601, the garbage information detection unit 1602, the virus information detection unit 1603 and the pornographic information detection unit 1604 are electrically connected in series, the detection module 16 detects error information, spam information, virus information and pornography information in the data, when the data are detected to be abnormal, the user is evaluated through the credit evaluation system 8, and when the credit of the user is lower than a rated value, the user can be punished through speed limiting and blacking.
The working principle of the embodiment is as follows: when the data collection system with the detection structure for big data analysis is used, firstly, when the data is stored in a big database through the Internet, a user can log in the data base in real name through the logging system 3, the identity of an applicant needs to be checked through the authentication unit 6 and the checking unit 7 when logging in, and the credit evaluation system 8 records the user, so that the situation that some users with low evaluation credit continuously transmit some junk information to the big data to cause the data base to store a large amount of unnecessary data is avoided, at the moment, the distribution system 10 classifies according to the evaluation of the user, some users with low credit rate need to filter and screen repeated information through the classification module 11, and then the repeated information is detected through the comparison module 15 and the detection module 16, so that the prevention effect is achieved, and meanwhile, when the user transmits the data to be recorded to the first storage unit 9, the first storage unit 9 performs a basic storage, the first storage unit 9 will periodically clear the data, when the data needs to be stored for a long time, it is required to transmit the data to the second storage unit 21 for long-term storage through various tests and evaluations, wherein the category classification module 12 is a basic classification system, classifies the files, and can compare and detect the information through the comparison module 15 and the detection module 16, so as to achieve the effect of blocking and defending unnecessary data in big data, and the detection module 16 detects error information, spam information, virus information and pornography information in the data, when the data is detected to be abnormal, the user is evaluated by the credit evaluation system 8, and once the credit of the user is lower than a rated value, the user can be punished by limiting the speed and blacking, and finally some normal data are stored by integrating the terminal 20 and the second storage unit 21.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (9)
1. A data collection system for big data analysis with detection structure, comprising an i5 processor (1) and an authentication module (4), characterized by: the input end of the i5 processor (1) is electrically connected with an operating system (2), the output end of the i5 processor (1) is electrically connected with a login system (3), the output end of the login system (3) is electrically connected with an authentication module (4), the output end of the authentication module (4) is electrically connected with a real-name login module (5), the input end of the real-name login module (5) is respectively and electrically connected with an authentication unit (6) and an auditing unit (7), the output end of the real-name login module (5) is electrically connected with a credit evaluation system (8), the output end of the i5 processor (1) is electrically connected with a first storage unit (9), the output end of the first storage unit (9) is electrically connected with a distribution system (10), the output end of the distribution system (10) is respectively and electrically connected with a classification module (11) and a comparison module (15), and the output electric connection of categorised module (11) has kind categorised module (12), the output of kind categorised module (12) electric connection has regional categorised module (13) and name respectively and checks module (14), the output electric connection who compares module (15) has detection module (16), and the output of detection module (16) electric connection has rubbish crushing unit (17), mark protection unit (18) and arrangement sequencing unit (19) respectively, the output electric connection of rubbish crushing unit (17), mark protection unit (18), arrangement sequencing unit (19) has integration terminal (20), and the output electric connection of integration terminal (20) has second storage unit (21).
2. A data collection system with big data analysis of detection structure according to claim 1, characterized by: the real-name login module (5) is electrically connected with the authentication unit (6) and the auditing unit (7) in parallel, and the login module (5) is electrically connected with the login system (3) in series through the credit evaluation system (8).
3. A data collection system with big data analysis of detection structure according to claim 1, characterized by: the category classification module (12) is electrically connected with the region classification module (13) and the name check module (14) in parallel, and the category classification module (12) is electrically connected with the comparison module (15) and the integration terminal (20) in series through the region classification module (13) and the name check module (14) respectively.
4. A data collection system with big data analysis of detection structure according to claim 1, characterized by: the distribution system (10) is electrically connected with the classification module (11) and the comparison module (15) in parallel, and the distribution system (10) is respectively electrically connected with the classification module (11) and the comparison module (15) in series.
5. A data collection system with big data analysis of detection structure according to claim 1, characterized by: the name checking module (14) comprises a same word marking unit (1401), a synonym marking unit (1402) and a keyword marking unit (1403), and the output end of the name checking module (14) is respectively and electrically connected with the same word marking unit (1401), the synonym marking unit (1402) and the keyword marking unit (1403).
6. A data collection system with big data analysis of detection structure according to claim 5, characterized by: the name checking module (14) is respectively electrically connected with the same word marking unit (1401), the synonym marking unit (1402) and the keyword marking unit (1403) in parallel, and the same word marking unit (1401), the synonym marking unit (1402) and the keyword marking unit (1403) are electrically connected in series.
7. A data collection system with big data analysis of detection structure according to claim 1, characterized by: the detection module (16) comprises an error information detection unit (1601), a junk information detection unit (1602), a virus information detection unit (1603) and a pornographic information detection unit (1604), and the output end of the detection module (16) is electrically connected with the error information detection unit (1601), the junk information detection unit (1602), the virus information detection unit (1603) and the pornographic information detection unit (1604) respectively.
8. A data collection system with big data analysis of detection structure according to claim 7, characterized by: the detection module (16) is electrically connected in parallel through an error information detection unit (1601), a junk information detection unit (1602), a virus information detection unit (1603) and a pornographic information detection unit (1604), and the error information detection unit (1601), the junk information detection unit (1602), the virus information detection unit (1603) and the pornographic information detection unit (1604) are electrically connected in series.
9. A data collection system with big data analysis of detection structure according to claim 1, characterized by: the detection module (16) is electrically connected in series with the integration terminal (20) through the garbage crushing unit (17), the labeling protection unit (18) and the sorting unit (19), and the detection module (16) is electrically connected in parallel through the garbage crushing unit (17), the labeling protection unit (18) and the sorting unit (19).
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| CN201911161927.2A CN110969013A (en) | 2019-11-25 | 2019-11-25 | Big data analysis data collection system with detection structure |
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| CN201911161927.2A CN110969013A (en) | 2019-11-25 | 2019-11-25 | Big data analysis data collection system with detection structure |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111507616A (en) * | 2020-04-15 | 2020-08-07 | 江苏鹏为软件有限公司 | Green building construction information management system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111507616A (en) * | 2020-04-15 | 2020-08-07 | 江苏鹏为软件有限公司 | Green building construction information management system |
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