CN110968850A - Big data analysis data collection system based on electronic commerce platform - Google Patents
Big data analysis data collection system based on electronic commerce platform Download PDFInfo
- Publication number
- CN110968850A CN110968850A CN201911153350.0A CN201911153350A CN110968850A CN 110968850 A CN110968850 A CN 110968850A CN 201911153350 A CN201911153350 A CN 201911153350A CN 110968850 A CN110968850 A CN 110968850A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- information
- electrically connected
- collection system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- 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
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
-
- 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
- G06F21/50—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
- G06F21/568—Computer malware detection or handling, e.g. anti-virus arrangements eliminating virus, restoring damaged files
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2141—Access rights, e.g. capability lists, access control lists, access tables, access matrices
Abstract
The invention relates to a big data analysis data collection system based on an electronic commerce platform, which comprises a login module and a cloud server, wherein the login module is electrically connected with an identity information checking module, the identity information checking module is electrically connected with a login information continuous loading module, the identity information checking module is electrically connected with a data information checking module, the data information checking module is electrically connected with a data information selecting and storing module, and the data information selecting and storing module is electrically connected with a data information downloading module, and the big data analysis data collection system based on the electronic commerce platform has the advantages that: this data collection system based on big data analysis of electronic commerce platform comes the big data of downloading in the cloud ware through data information download module to select to type in data through data information optional storage module, thereby conveniently come to gather and collect the big data in this system, and then conveniently come fine to collect big data.
Description
Technical Field
The invention relates to the technical field of electronic commerce, in particular to a big data analysis data collection system based on an electronic commerce platform.
Background
The electronic commerce refers to the commerce activity which takes the information network technology as a means and takes commodity exchange as a center; the method can also be understood as the transaction activities and related service activities performed in an electronic transaction mode on the Internet, an intranet and a value-added network, and is electronization, networking and informatization of each link of the traditional commercial activities; the internet-mediated business activities belong to the category of electronic commerce, and a big data collection system is generally used in an electronic commerce platform to collect big data so as to better analyze and monitor the data.
The existing system is not provided with a good classification calling and storage template, so that the system cannot well run the flow, meanwhile, the system cannot be well matched for use, a lot of inconvenience exists, the logged-in login information can be recorded by the login information continuous loading module without permission, an inconvenient system manager calls the system, the system cannot be guaranteed to have good safety performance, various big data cannot be inquired conveniently, and the stored data in the data information selecting and storing module and the data classification module cannot be checked, namely, the data searching function is not good.
Disclosure of Invention
The invention aims to provide a big data analysis data collection system based on an e-commerce platform, which aims to solve the problems that the existing system proposed in the background technology is not provided with a better classified calling and storing template, so that the system cannot well run the process, and the systems cannot be well matched for use, so that a lot of inconvenience exists, the recorded login information can be recorded by a data login information continuous loading module, the system is inconvenient to call by a system manager, the system cannot ensure good safety performance, various big data cannot be conveniently and rapidly inquired, and further the stored data in a data information storage module and a data classification module cannot be checked, namely the data inquiry function is not good.
In order to achieve the purpose, the invention provides the following technical scheme: a big data analysis data collection system based on an electronic commerce platform comprises a login module and a cloud server, wherein the login module is electrically connected with an identity information checking module, the identity information checking module is electrically connected with a login information continuous loading module, the identity information checking module is electrically connected with a data information checking module, the data information checking module is electrically connected with a data information selecting and storing module, the data information selecting and storing module is electrically connected with a data information downloading module, the cloud server is electrically connected with the data information downloading module, the data information selecting and storing module is electrically connected with the data information continuous loading module, the data information continuous loading module is electrically connected with a big data set storage system, and the data information continuous loading module is electrically connected with a data information checking module, the data information selecting and storing module is electrically connected with the data searching, killing and retrieving module, the data searching, killing and retrieving module is respectively electrically connected with the outdated information processing module, the overlapped information processing module, the virus detecting module and the useless data classifying module, the outdated information processing module is electrically connected with the cloud processing garbage can, the cloud processing garbage can is electrically connected with the data recycling judging module, the data recycling judging module is electrically connected with the data storing module, the data storing module is electrically connected with the data classifying module, the data classifying module is respectively electrically connected with the daily data processing unit and the confidential data processing unit, the confidential data processing unit is electrically connected with the data information encrypting module, and the data information encrypting module is electrically connected with the encrypted data storing module, the daily data processing unit is electrically connected with the daily data storage unit.
Preferably, the information transmission mode between the identity information verification module and the data information check module is bidirectional transmission, and the data information check module is electrically connected with the data information storage module.
Preferably, the data information storage module, the data information downloading module and the cloud server are sequentially connected in series.
Preferably, the data information continuous loading module is electrically connected with the large data set storage system and the data information checking module.
Preferably, the outdated information processing module, the overlapped information processing module, the virus detection module and the useless data classification module are connected in parallel.
Preferably, the outdated information processing module and the overlapped information processing module are connected in parallel to the cloud processing garbage can.
Preferably, the cloud processing garbage can, the data recovery judging module, the data storage module and the data classifying module are sequentially connected in series.
Preferably, a parallel structure is formed between the daily data processing unit and the confidential data processing unit.
Preferably, the confidential data storage unit, the data information encryption module and the encrypted data storage module are sequentially connected in series.
Compared with the prior art, the invention has the following beneficial effects:
1. the system logs in through the login module, flexible operation can be performed, the identity of a login person can be verified through the identity information verification module, the safety performance of the system use is further improved, meanwhile, the logged-in login information can be recorded according to the login information continuous loading module, a system manager can conveniently call the logged-in login information, the system is ensured to have good safety performance, data query and other operations can be performed through the data information viewing module, the stored data in the data information selecting and storing module and the data classifying module can be conveniently viewed, and the data query effect is good.
2. According to the cloud server and the data information collection method, the data information downloading module is used for downloading the big data in the cloud server, and the data information selecting and storing module is used for selectively inputting the data, so that the big data in the system can be conveniently collected and received, and the big data can be conveniently and well collected.
3. The invention can respectively classify and process the big data information through the outdated information processing module, the overlapped information processing module, the virus detection module and the useless data classification module, namely, the outdated processing, the repeated information processing, the virus killing, the waste data processing and the like of the data are completed, thereby improving the cleaning performance of the system.
4. According to the invention, the useless data processed by the useless data classification module is judged and screened again through the data recovery judgment module, when the data are useless, the data can be transferred to the cloud processing garbage can, otherwise, the screened useful data are transferred to the data storage module for storage, so that the utilization rate of the data is improved, and the using effect of the data is improved.
5. The invention can classify and store the processed effective data through the data classification module, the daily common data can be processed through the daily data processing unit, then the processed data is transferred to the daily data storage unit for storage, the invention has very high practical effect, and the confidential data is processed through the confidential data processing unit, then is encrypted through the data information encryption module, and then is transferred to the encrypted data storage module for data storage, thereby having very high classified storage and use effect.
Drawings
FIG. 1 is a flow chart of a big data analysis based data collection system for an e-commerce platform according to the present invention;
FIG. 2 is a flow chart of a big data analysis based data collection system for an e-commerce platform according to the present invention;
FIG. 3 is a flow chart of a data classification module of a big data analysis based data collection system of an e-commerce platform according to the present invention;
FIG. 4 is a flow chart of a data information checking module of the big data analysis based data collection system of the electronic commerce platform according to the present invention.
In the figure: 1. a login module; 2. an identity information verification module; 3. a login information continuous loading module; 4. a data information viewing module; 5. a data information selecting and storing module; 6. a data information downloading module; 7. a cloud server; 8. a data information continuous loading module; 9. a large data set storage system; 10. a data information checking module; 11. a data searching, killing and calling module; 12. an outdated information processing module; 13. an overlapping information processing module; 14. a virus detection module; 15. a garbage classification module; 16. a cloud processing dustbin; 17. a data recovery judging module; 18. a data storage module; 19. a data classification module; 20. a daily data processing unit; 21. a confidential data processing unit; 22. a data information encryption module; 23. an encrypted data storage module; 24. and a daily data 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 of the embodiments.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed in a specific orientation, and be operated, and thus are not to be construed as limiting the present invention, and furthermore, the terms "first", "second", "third", and the like are only used for descriptive purposes and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; they may be directly connected or indirectly connected through an intermediate, and those skilled in the art will understand the specific meaning of the above terms in the present invention in specific situations.
Referring to fig. 1-4, the present invention provides a technical solution: a big data analysis data collection system based on an electronic commerce platform comprises a login module 1, an identity information verification module 2, a login information continuous loading module 3, a data information checking module 4, a data information selecting and storing module 5, a data information downloading module 6, a cloud server 7, a data information continuous loading module 8, a big data set storage system 9, a data information checking module 10, a data checking, killing and calling module 11, an outdated information processing module 12, an overlapped information processing module 13, a virus detection module 14, a useless data classification module 15, a cloud processing garbage can 16, a data recovery judgment module 17, a data storage module 18, a data classification module 19, a daily data processing unit 20, a confidential data processing unit 21, a data information encryption module 22, an encrypted data storage module 23 and a daily data storage unit 24, wherein the login module 1 is electrically connected with the identity information verification module 2, the identity information checking module 2 is electrically connected with the login information continuous loading module 3, the identity information checking module 2 is electrically connected with the data information checking module 4, the data information checking module 4 is electrically connected with the data information selecting and storing module 5, the data information selecting and storing module 5 is electrically connected with the data information downloading module 6, the cloud server 7 is electrically connected with the data information downloading module 6, the data information selecting and storing module 5 is electrically connected with the data information continuous loading module 8, the data information continuous loading module 8 is electrically connected with the large data set storage system 9, the data information continuous loading module 8 is electrically connected with the data information checking module 10, the data information selecting and storing module 5 is electrically connected with the data checking and debugging module 11, and the data checking and debugging module 11 is respectively connected with the outdated information processing module 12, The overlapping information processing module 13, the virus detection module 14 and the useless data classification module 15 are electrically connected, the outdated information processing module 12 and the cloud processing garbage can 16 are electrically connected, the cloud processing garbage can 16 and the data recovery judgment module 17 are electrically connected, the data recovery judgment module 17 and the data storage module 18 are electrically connected, the data storage module 18 and the data classification module 19 are electrically connected, the data classification module 19 and the daily data processing unit 20 and the confidential data processing unit 21 are electrically connected, the confidential data processing unit 21 and the data information encryption module 22 are electrically connected, the data information encryption module 22 and the encrypted data storage module 23 are electrically connected, and the daily data processing unit 20 and the daily data storage unit 24 are electrically connected.
The information transmission mode between the identity information checking module 2 and the data information checking module 4 is bidirectional transmission, the data information checking module 4 is electrically connected with the data information selecting and storing module 5, the system is logged in through the logging module 1, flexible operation can be performed, the identity of a logged person can be checked through the identity information checking module 2, the use safety performance of the system is further improved, logged-in logging information can be recorded according to the logging information continuous loading module 3, the system is convenient for a system manager to call, the system is ensured to have good safety performance, data query and other operations can be performed through the data information checking module 4, the stored data inside the data information selecting and storing module 5 and the data classification module 19 can be checked conveniently, and the data query function is good.
Data information deposits module 5 in a selective manner, be the serial structure in proper order between data information download module 6 and the cloud ware 7, be electric connection between data information continuous loading module 8 and big data set storage system 9 and data information school check module 10, come to download the big data in the cloud ware 7 through data information download module 6, and come to select to type in data through data information deposits module 5, thereby conveniently come to gather and collect the big data in this system, and then conveniently come fine collecting the big data.
The outdated information processing module 12, the overlapped information processing module 13, the virus detection module 14 and the useless data classification module 15 are mutually connected in parallel, the outdated information processing module 12 and the overlapped information processing module 13 are connected in parallel into a cloud processing garbage can 16, the large data information can be classified by the outdated information processing module 12, the overlapped information processing module 13, the virus detection module 14 and the useless data classification module 15, namely, the outdated processing of data, repeated information processing, virus killing, abandoned data processing and the like are completed, thereby improving the cleanness of the system, facilitating the storage of a large amount of effective data, and judging whether the big data carries viruses or not after being checked and killed by the virus detection module 14, if the virus-carrying character is transferred to the cloud processing garbage can 16 for processing, otherwise, the data is transferred to the data storage module 18 for storage.
The cloud processing garbage can 16, the data recovery judging module 17, the data storage module 18 and the data classifying module 19 are sequentially connected in series, the data recovery judging module 17 is used for judging and screening the useless data processed by the useless data classifying module 15 again, when the data are useless, the useless data can be transferred into the cloud processing garbage can 16, otherwise, the screened useful data are transferred into the data storage module 18 for storage, and therefore the utilization rate of the data is improved, and the using effect of the data is improved.
The daily data processing unit 20 and the confidential data processing unit 21 form a parallel structure, the confidential data processing unit 21, the data information encryption module 22 and the encrypted data storage module 23 are sequentially connected in series, the processed effective data can be classified and stored through the data classification module 19, daily common data can be processed through the daily data processing unit 20, then the processed data is transferred to the daily data storage unit 24 to be stored, the practical effect is high, the confidential data is processed through the confidential data processing unit 21, then the data is encrypted through the data information encryption module 22, and then the data is transferred to the encrypted data storage module 23 to be stored, and the classified storage using effect is high.
In conclusion, when the data collection system based on the big data analysis of the e-commerce platform is used, the login module 1 is used for logging in the system, flexible operation can be performed, the identity of a login user can be verified through the identity information verification module 2, the use safety performance of the system is further improved, the logged-in login information can be recorded through the login information linkage module 3, a system manager can call the logged-in login information conveniently, the system is ensured to have good safety performance, operations such as data query and the like can be performed through the data information check module 4, the stored data in the data information selection module 5 and the stored data in the data classification module 19 can be checked conveniently, the data collection system has a good data query effect, the big data in the cloud server 7 is downloaded through the data information download module 6, and the data is selected and logged in through the data information selection module 5, therefore, the big data in the system can be conveniently collected and collected, and then the big data can be conveniently and well collected, the big data information can be respectively classified through the outdated information processing module 12, the overlapped information processing module 13, the virus detection module 14 and the useless data classification module 15, namely, the obsolete processing, the repeated information processing, the virus killing, the waste data and the like of the data are completed, the cleanness performance of the system is further improved, a large amount of effective data is conveniently stored, and the big data is judged after being killed through the virus detection module 14, whether the big data carries viruses or not is judged, if the big data carries the viruses, the big data is transferred to the cloud processing garbage can 16 for processing, otherwise, the big data is transferred to the data storage module 18 for storage, and the useless data processed by the useless data classification module 15 is judged and screened again through the data recovery judgment module 17, when the data is not used, the data can be transferred to the cloud processing garbage can 16, otherwise, the screened useful data is transferred to the data storage module 18 for storage, so that the utilization rate of the data is improved, the using effect of the data is improved, the processed effective data can be classified and stored through the data classification module 19, the daily common data can be processed through the daily data processing unit 20, the processed data is transferred to the daily data storage unit 24 for storage, the data processing method has a high practical effect, the confidential data is processed through the confidential data processing unit 21, the data is encrypted through the data information encryption module 22, and then the data is transferred to the encrypted data storage module 23 for storage, so that the data storage method has a high classified storage using effect.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical scope of the present invention and the equivalent alternatives or modifications according to the technical solution and the inventive concept of the present invention within the technical scope of the present invention.
Claims (9)
1. A big data analysis data collection system based on an electronic commerce platform comprises a login module (1) and a cloud server (7), and is characterized in that: the login module (1) is electrically connected with the identity information checking module (2), the identity information checking module (2) is electrically connected with the login information continuous loading module (3), the identity information checking module (2) is electrically connected with the data information checking module (4), the data information checking module (4) is electrically connected with the data information selecting and storing module (5), the data information selecting and storing module (5) is electrically connected with the data information downloading module (6), the cloud server (7) is electrically connected with the data information downloading module (6), the data information selecting and storing module (5) is electrically connected with the data information continuous loading module (8), the data information continuous loading module (8) is electrically connected with the large data set storage system (9), and the data information continuous loading module (8) is electrically connected with the data information checking module (10), the data information selecting and storing module (5) is electrically connected with the data searching, killing and calling module (11), the data searching, killing and calling module (11) is respectively electrically connected with the outdated information processing module (12), the overlapped information processing module (13), the virus detection module (14) and the useless data classification module (15), the outdated information processing module (12) is electrically connected with the cloud processing garbage can (16), the cloud processing garbage can (16) is electrically connected with the data recovery judging module (17), the data recovery judging module (17) is electrically connected with the data storage module (18), the data storage module (18) is electrically connected with the data classification module (19), and the data classification module (19) is respectively electrically connected with the daily data processing unit (20) and the confidential data processing unit (21), the confidential data processing unit (21) is electrically connected with the data information encryption module (22), the data information encryption module (22) is electrically connected with the encrypted data storage module (23), and the daily data processing unit (20) is electrically connected with the daily data storage unit (24).
2. The data collection system for big data analysis based on e-commerce platform as claimed in claim 1, wherein: the information transmission mode between the identity information checking module (2) and the data information checking module (4) is bidirectional transmission, and the data information checking module (4) is electrically connected with the data information selecting and storing module (5).
3. The data collection system for big data analysis based on e-commerce platform as claimed in claim 1, wherein: the data information storage module (5), the data information downloading module (6) and the cloud server (7) are sequentially connected in series.
4. The data collection system for big data analysis based on e-commerce platform as claimed in claim 1, wherein: the data information continuous loading module (8) is electrically connected with the large data set storage system (9) and the data information checking module (10).
5. The data collection system for big data analysis based on e-commerce platform as claimed in claim 1, wherein: the outdated information processing module (12), the overlapped information processing module (13), the virus detection module (14) and the useless data classification module (15) are connected in parallel.
6. The data collection system for big data analysis based on e-commerce platform as claimed in claim 1, wherein: the outdated information processing module (12) and the overlapped information processing module (13) are connected in parallel to a cloud processing garbage can (16).
7. The data collection system for big data analysis based on e-commerce platform as claimed in claim 1, wherein: the cloud processing garbage can (16), the data recovery judging module (17), the data storage module (18) and the data classification module (19) are sequentially connected in series.
8. The data collection system for big data analysis based on e-commerce platform as claimed in claim 1, wherein: the daily data processing unit (20) and the confidential data processing unit (21) form a parallel structure.
9. The data collection system for big data analysis based on e-commerce platform as claimed in claim 1, wherein: the confidential data processing unit (21), the data information encryption module (22) and the encrypted data storage module (23) are sequentially connected in series.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911153350.0A CN110968850A (en) | 2019-11-22 | 2019-11-22 | Big data analysis data collection system based on electronic commerce platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911153350.0A CN110968850A (en) | 2019-11-22 | 2019-11-22 | Big data analysis data collection system based on electronic commerce platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110968850A true CN110968850A (en) | 2020-04-07 |
Family
ID=70031236
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911153350.0A Withdrawn CN110968850A (en) | 2019-11-22 | 2019-11-22 | Big data analysis data collection system based on electronic commerce platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110968850A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112149170A (en) * | 2020-10-12 | 2020-12-29 | 上海中尖实业(集团)有限公司 | Digital big data security processing system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008009224A1 (en) * | 2006-07-11 | 2008-01-24 | Huawei Technologies Co., Ltd. | A content filtering system, device and method |
| WO2017092355A1 (en) * | 2015-12-01 | 2017-06-08 | 乐视控股（北京）有限公司 | Data service system |
| CN109308578A (en) * | 2018-09-13 | 2019-02-05 | 江苏站企动网络科技有限公司 | A kind of enterprise's big data analysis system and method |
| CN109740365A (en) * | 2019-01-07 | 2019-05-10 | 何小钟 | A kind of internet information with burglar-proof mechanism uses safely storage system |
-
2019
- 2019-11-22 CN CN201911153350.0A patent/CN110968850A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008009224A1 (en) * | 2006-07-11 | 2008-01-24 | Huawei Technologies Co., Ltd. | A content filtering system, device and method |
| WO2017092355A1 (en) * | 2015-12-01 | 2017-06-08 | 乐视控股（北京）有限公司 | Data service system |
| CN109308578A (en) * | 2018-09-13 | 2019-02-05 | 江苏站企动网络科技有限公司 | A kind of enterprise's big data analysis system and method |
| CN109740365A (en) * | 2019-01-07 | 2019-05-10 | 何小钟 | A kind of internet information with burglar-proof mechanism uses safely storage system |
Non-Patent Citations (1)
| Title |
|---|
| 何健: "云端大数据平台多维安全防护体系的研究与实践", 《信息技术与信息化》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112149170A (en) * | 2020-10-12 | 2020-12-29 | 上海中尖实业(集团)有限公司 | Digital big data security processing system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103152352B (en) | A kind of perfect information security forensics monitor method based on cloud computing environment and system | |
| CN103026345B (en) | For the dynamic multidimensional pattern of event monitoring priority | |
| CN111639363B (en) | Data analysis method based on block chain and edge computing server | |
| US8578480B2 (en) | Systems and methods for identifying potentially malicious messages | |
| CN109769261B (en) | Network fault processing method and device | |
| US20040260602A1 (en) | System for business service management and method for evaluating service quality of service provider | |
| US20070266149A1 (en) | Integrating traffic monitoring data and application runtime data | |
| CN103152353B (en) | The Explore of Unified Management Ideas of interactive information and device | |
| US20200106790A1 (en) | Intelligent system for mitigating cybersecurity risk by analyzing domain name system traffic | |
| US20120331126A1 (en) | Distributed collection and intelligent management of communication and transaction data for analysis and visualization | |
| CN110519150A (en) | Mail-detection method, apparatus, equipment, system and computer readable storage medium | |
| CN111131253A (en) | Scene-based security event global response method, device, equipment and storage medium | |
| CN114598525A (en) | IP automatic blocking method and device for network attack | |
| CN110222498A (en) | A kind of supervision management system and method based on mobile interchange cloud | |
| CN102984140A (en) | Malicious software feature fusion analytical method and system based on shared behavior segments | |
| CN105589943A (en) | Method and device for picture adaptability processing of search result page and server | |
| KR20190028076A (en) | Visualization method and visualization apparatus | |
| CN103618720B (en) | A kind of Trojan network communication detects and evidence collecting method and system | |
| CN110968850A (en) | Big data analysis data collection system based on electronic commerce platform | |
| CN110301892A (en) | A kind of detection method and Related product based on hand vein recognition | |
| KR101991736B1 (en) | Correlation visualization method and correlation visualization apparatus | |
| CN110430083A (en) | A kind of location processing method and server of agency's forwarding request | |
| CN105763555A (en) | Website risk control server and method and client | |
| CN112149170A (en) | Digital big data security processing system | |
| CN112350864B (en) | Protection method, device, equipment and computer readable storage medium for domain control terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200407 |