CN107528852B - Big data implementation system and method based on network security - Google Patents
Big data implementation system and method based on network security Download PDFInfo
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- CN107528852B CN107528852B CN201710792580.6A CN201710792580A CN107528852B CN 107528852 B CN107528852 B CN 107528852B CN 201710792580 A CN201710792580 A CN 201710792580A CN 107528852 B CN107528852 B CN 107528852B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/20—Network architectures or network communication protocols for network security for managing network security; network security policies in general
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- G06F21/60—Protecting data
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- 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
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Abstract
The invention discloses a big data implementation system and method based on network security. The big data implementation platform of the system comprises: the system comprises a big data acquisition module, a big data preprocessing module, a big data processing module, a network security supervision module and a controller; the network security supervision module comprises: the system comprises a network detection unit, a visitor verification unit and an access flow monitoring unit. The invention collects multi-path data in parallel through a data receiver with a plurality of data interfaces, adds priority numbers and frame numbers to frame packed data, and stores the collected data in a grading way, thereby analyzing and screening the stored data according to the priority numbers and the frame numbers and outputting the data; in the implementation process of big data, data are acquired through a plurality of channels, so that the acquisition efficiency is high, and the acquired data volume is large; the data after the hierarchical storage is output according to the priority number and the frame number, so that the data transmission is ordered, network blockage and data loss are not easy to cause, the data processing efficiency is improved, and the resource utilization rate is low.
Description
Technical Field
The invention relates to the technical field of network security, in particular to a big data implementation system and method based on network security.
Background
With the development of electronic information technology, the frequency of using networks by people is higher and higher, and the rapid increase of data volume indicates that the data has entered the big data era now, and not only the data size is larger and larger, but also the data types are more and the real-time processing requirement is high. When big data is put forward, people gradually experience hidden dangers caused by high-speed development of information, security problems become important problems of network browsing, privacy disclosure, property cheating and the like, and the big data brings technical challenges to traditional data security transmission management.
In the existing big data implementation process, data are often classified after being concentrated together, so that the workload in the later period is large, the data volume is huge, and the network is blocked when the data are received, so that the problem of data loss exists, the data processing efficiency is low, and the resource utilization rate is low.
In summary, in the big data implementation process in the prior art, there are problems of low data processing efficiency and low resource utilization rate.
Disclosure of Invention
The embodiment of the invention provides a big data implementation system and method based on network security, which are used for solving the problems of low data processing efficiency and low resource utilization rate in the prior art.
The embodiment of the invention provides a big data implementation system based on network security, which comprises: a big data implementation platform;
the big data implementation platform comprises: the system comprises a big data acquisition module, a big data preprocessing module, a big data processing module, a network security supervision module and a controller;
the big data acquisition module is used for acquiring multiple paths of data in parallel through a data receiver with multiple data interfaces, packaging frame data of each path of data and adding priority numbers and frame numbers to frame headers of each frame of each path of data;
the big data preprocessing module is used for performing redundancy processing and verification processing on each path of data according to each path of data transmission protocol, and storing the data subjected to the redundancy processing and the verification processing to each path of data receiving buffer and data receiving memory; the data receiving buffer is used for receiving the data of the first ten frames and storing the data of the first ten frames and the data of the later frames into the data receiving memory; when the data in the data receiving buffer is less than ten frames, the data in the data receiving memory is automatically transmitted to the data receiving buffer;
the big data processing module is used for taking the data to be transmitted out of the data receiving buffer according to the priority number and the frame number, analyzing the data information and outputting the screened useful data according to the priority number and the frame number; the data receiving buffer is used for receiving a data receiving mark of a frame to be transmitted, wherein the data receiving buffer is used for receiving the data to be transmitted; comparing the analyzed data information with prestored interception information, wherein the analyzed data information is useful information when the contact ratio is smaller than a first preset value;
the network security supervision module comprises: the system comprises a network detection unit, a visitor verification unit and an access flow monitoring unit;
the network detection unit is used for detecting the network transmission rate and the resource occupancy rate of each data transmission channel in real time;
the visitor verification unit is used for accessing the network big data through an account, a password and a two-dimensional code; the identity authentication is carried out through an account and a password, and the payment authentication is carried out on the access of certain network data through the two-dimensional code;
the access flow monitoring unit is used for monitoring the network data access flow of each data transmission channel in real time, when the network data access flow of a certain channel exceeds a second preset value, the network flow is added to the channel, and meanwhile, the hotspot data type is determined according to the size of the network data access flow;
and the controller is used for coordinating the operation of the modules.
Preferably, the big data implementation platform is a big data server.
Preferably, the data interface includes: the device comprises serial ports, parallel ports, USB interfaces, Ethernet interfaces, wireless receivers and CAN interfaces, wherein the number of each serial port, parallel port, USB interface, Ethernet interface, wireless receiver and CAN interface is at least one.
Preferably, the network security supervision module further includes: a sensitive information filtering unit; and the sensitive information filtering unit is used for filtering illegal advertisement information and unhealthy information.
The embodiment of the invention provides a big data implementation method based on network security, which comprises the following steps:
collecting multi-channel data in parallel through a data receiver with various data interfaces, packaging frame data of each channel of data, and adding priority numbers and frame numbers to frame headers of each frame of each channel of data;
carrying out redundancy processing and verification processing on each path of data according to each path of data transmission protocol, and storing the data subjected to the redundancy processing and the verification processing to each path of data receiving buffer and data receiving memory; the data receiving buffer is used for receiving the data of the first ten frames and storing the data of the first ten frames and the data of the later frames into the data receiving memory; when the data in the data receiving buffer is less than ten frames, the data in the data receiving memory is automatically transmitted to the data receiving buffer;
taking out the data to be transmitted from the data receiving buffer according to the priority number and the frame number, analyzing the data information and outputting the screened useful data according to the priority number and the frame number; the data receiving buffer is used for receiving a data receiving mark of a frame to be transmitted, wherein the data receiving buffer is used for receiving the data to be transmitted; comparing the analyzed data information with prestored interception information, wherein the analyzed data information is useful information when the contact ratio is smaller than a first preset value;
network security supervision is carried out on the big data; the method specifically comprises the following steps: detecting the network transmission rate and the resource occupancy rate of each data transmission channel in real time;
accessing the network big data through the account, the password and the two-dimension code; the identity authentication is carried out through an account and a password, and the payment authentication is carried out on the access of certain network data through the two-dimensional code;
and monitoring the network data access flow of each data transmission channel in real time, adding the network flow to a certain channel when the network data access flow of the channel exceeds a second preset value, and determining the type of the hot spot data according to the size of the network data access flow.
Preferably, the network security supervision is performed on the big data; further comprising: and filtering illegal advertisement information and unhealthy information.
In the embodiment of the invention, a big data implementation system and method based on network security are provided, compared with the prior art, the system has the following beneficial effects:
the invention collects multi-path data in parallel through a data receiver with a plurality of data interfaces, adds priority numbers and frame numbers to frame packed data, and stores the collected data in a grading way, thereby analyzing and screening the stored data according to the priority numbers and the frame numbers and outputting the data; in the process of implementing the big data, the big data is acquired through a plurality of channels, so that the acquisition efficiency is high, and the acquired data volume is large; the data after the hierarchical storage is output according to the priority number and the frame number, so that the data transmission is ordered, network blockage and data loss are not easy to cause, the data processing efficiency is improved, and the resource utilization rate is low. Furthermore, redundancy processing and verification processing are carried out on each path of data according to each path of data transmission protocol, and data transmission reliability is improved.
The invention carries out network detection and access flow monitoring on the big data implementation system in real time through the network security supervision module, and verifies visitor information, thereby enhancing the network security and ensuring that the data is not easy to leak and lose. Particularly, when the visitor information is verified, payment verification can be performed on access of certain network data through the two-dimensional code, and the system is convenient to use and high in practicability; by monitoring the network data access flow of each data transmission channel, the network speed can be flexibly adjusted, and meanwhile, which type of information has large access amount can be judged, so that the reliable basis is improved for network data analysis.
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Fig. 1 is a functional schematic block diagram of a big data implementation system based on network security according to an embodiment of the present invention;
fig. 2 is a flowchart of a big data implementation method based on network security according to an embodiment of the present invention;
fig. 3 is a flowchart of specific steps of performing network security supervision on big data according to an embodiment of the present invention.
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a functional schematic block diagram of a big data implementation system based on network security according to an embodiment of the present invention. As shown in fig. 1, the system includes: big data implementation platform 1.
Preferably, the big data implementation platform 1 of the present invention employs a big data server.
Specifically, the big data implementation platform 1 includes: the system comprises a big data acquisition module 11, a big data preprocessing module 12, a big data processing module 13, a network security supervision module 14 and a controller 15.
The big data acquisition module 11 is configured to acquire multiple paths of data in parallel through a data receiver with multiple data interfaces, package frame data of each path of data, and add a priority number and a frame number to a frame header of each frame of each path of data.
It should be noted that the data interface includes: the device comprises serial ports, parallel ports, USB interfaces, Ethernet interfaces, wireless receivers and CAN interfaces, wherein the number of each serial port, parallel port, USB interface, Ethernet interface, wireless receiver and CAN interface is at least one.
The big data preprocessing module 12 is configured to perform redundancy processing and verification processing on each path of data according to each path of data transmission protocol, and store the data after the redundancy processing and verification processing to each path of data receiving buffer and data receiving memory; the data receiving buffer is used for receiving the data of the first ten frames and storing the data of the first ten frames and the data of the later frames into the data receiving memory; when the data in the data receiving buffer is less than ten frames, the data in the data receiving memory is automatically transmitted to the data receiving buffer.
The big data processing module 13 is configured to take out data to be transmitted from the data receiving buffer according to the priority number and the frame number, analyze data information, and output screened useful data according to the priority number and the frame number; the data receiving buffer is used for receiving a data receiving mark of a frame to be transmitted, wherein the data receiving buffer is used for receiving the data to be transmitted; and comparing the analyzed data information with the prestored interception information, wherein the analyzed data information is useful information when the contact ratio is smaller than the first preset value.
In summary, the invention collects multi-channel data in parallel by a data receiver with multiple data interfaces, adds priority numbers and frame numbers to frame packed data, and stores the collected data in a grading way, so as to analyze and screen the stored data according to the priority numbers and the frame numbers and then output the data; in the process of implementing the big data, the big data is acquired through a plurality of channels, so that the acquisition efficiency is high, and the acquired data volume is large; the data after the hierarchical storage is output according to the priority number and the frame number, so that the data transmission is ordered, network blockage and data loss are not easy to cause, the data processing efficiency is improved, and the resource utilization rate is low. Furthermore, redundancy processing and verification processing are carried out on each path of data according to each path of data transmission protocol, and data transmission reliability is improved.
Specifically, the network security administration module 14 includes: a network detection unit 141, a guest authentication unit 142, and an access traffic monitoring unit 143.
The network detection unit 141 is configured to detect the network transmission rate and the resource occupancy rate of each data transmission channel in real time.
The visitor verification unit 142 is used for accessing the network big data through an account, a password and a two-dimensional code; the identity authentication is carried out through an account and a password, and the payment authentication is carried out on the access of certain network data through the two-dimensional code.
The access traffic monitoring unit 143 is configured to monitor network data access traffic of each data transmission channel in real time, add network traffic to a certain channel when the network data access traffic of the channel exceeds a second preset value, and determine a hotspot data type according to the size of the network data access traffic.
Preferably, the network security administration module 14 further includes: a sensitive information filtering unit; and the sensitive information filtering unit is used for filtering illegal advertisement information and unhealthy information.
It should be noted that the controller 15 in the present invention is used for coordinating the operations of the above modules.
In conclusion, the network security monitoring module is used for carrying out network detection and access flow monitoring on the big data implementation system in real time and verifying visitor information, so that the network security is enhanced, and the data is not easy to leak and lose. Particularly, when the visitor information is verified, payment verification can be performed on access of certain network data through the two-dimensional code, and the system is convenient to use and high in practicability; by monitoring the network data access flow of each data transmission channel, the network speed can be flexibly adjusted, and meanwhile, which type of information has large access amount can be judged, so that the reliable basis is improved for network data analysis.
Fig. 2 is a flowchart of a big data implementation method based on network security according to an embodiment of the present invention.
As shown in fig. 2, the method includes:
and step S21, acquiring multiple paths of data in parallel through a data receiver with multiple data interfaces, packaging frame data of each path of data, and adding priority numbers and frame numbers to frame headers of each frame of each path of data.
Step S22, according to each data transmission protocol, carrying out redundancy processing and check processing to each data path, and storing the data after redundancy processing and check processing to each data receiving buffer and data receiving memory; the data receiving buffer is used for receiving the data of the first ten frames and storing the data of the first ten frames and the data of the later frames into the data receiving memory; when the data in the data receiving buffer is less than ten frames, the data in the data receiving memory is automatically transmitted to the data receiving buffer.
Step S23, taking out the data to be transmitted from the data receiving buffer according to the priority number and the frame number, analyzing the data information and outputting the screened useful data according to the priority number and the frame number; the data receiving buffer is used for receiving a data receiving mark of a frame to be transmitted, wherein the data receiving buffer is used for receiving the data to be transmitted; and comparing the analyzed data information with the prestored interception information, wherein the analyzed data information is useful information when the contact ratio is smaller than the first preset value.
And step S24, performing network security supervision on the big data.
Fig. 3 is a flowchart of specific steps of performing network security supervision on big data according to an embodiment of the present invention. As shown in fig. 3, step S24 specifically includes:
and step S241, detecting the network transmission rate and the resource occupancy rate of each data transmission channel in real time.
Step S242, accessing the network big data through the account, the password and the two-dimension code; the identity authentication is carried out through an account and a password, and the payment authentication is carried out on the access of certain network data through the two-dimensional code.
Step S243, monitoring the network data access traffic of each data transmission channel in real time, adding network traffic to a certain channel when the network data access traffic of the channel exceeds a second preset value, and determining the type of the hotspot data according to the size of the network data access traffic.
Preferably, network security supervision is performed on the big data; further comprising: and filtering illegal advertisement information and unhealthy information.
Based on the same inventive concept, the embodiment of the invention provides a big data implementation method based on network security, and as the principle of solving the technical problem of the method is similar to that of a big data implementation system based on network security, the implementation of the method can refer to the implementation of the system, and repeated parts are not described again.
The above disclosure is only a few specific embodiments of the present invention, and those skilled in the art can make various modifications and variations of the present invention without departing from the spirit and scope of the present invention, and it is intended that the present invention encompass these modifications and variations as well as others within the scope of the appended claims and their equivalents.
Claims (6)
1. A big data implementation system based on network security is characterized by comprising: a big data implementation platform (1);
the big data implementation platform (1) comprises: the system comprises a big data acquisition module (11), a big data preprocessing module (12), a big data processing module (13), a network security supervision module (14) and a controller (15);
the big data acquisition module (11) is used for acquiring multiple paths of data in parallel through a data receiver with multiple data interfaces, packaging frame data of each path of data and adding priority numbers and frame numbers to frame headers of each frame of each path of data;
the big data preprocessing module (12) is used for performing redundancy processing and verification processing on each path of data according to each path of data transmission protocol, and storing the data subjected to the redundancy processing and the verification processing to each path of data receiving buffer and data receiving memory; the data receiving buffer is used for receiving the data of the first ten frames and storing the data of the first ten frames and the data of the later frames into the data receiving memory; when the data in the data receiving buffer is less than ten frames, the data in the data receiving memory is automatically transmitted to the data receiving buffer;
the big data processing module (13) is used for taking out the data to be transmitted from the data receiving buffer according to the priority number and the frame number, analyzing the data information and outputting the screened useful data according to the priority number and the frame number; the data receiving buffer is used for receiving a data receiving mark of a frame to be transmitted, wherein the data receiving buffer is used for receiving the data to be transmitted; comparing the analyzed data information with prestored interception information, wherein the analyzed data information is useful information when the contact ratio is smaller than a first preset value;
the network security administration module (14) comprising: a network detection unit (141), a visitor authentication unit (142) and an access traffic monitoring unit (143);
the network detection unit (141) is used for detecting the network transmission rate and the resource occupancy rate of each data transmission channel in real time;
the visitor verification unit (142) is used for accessing the network big data through an account, a password and a two-dimensional code; the identity authentication is carried out through an account and a password, and the payment authentication is carried out on the access of certain network data through the two-dimensional code;
the access flow monitoring unit (143) is configured to monitor network data access flows of each data transmission channel in real time, increase a network flow speed to a certain channel when the network data access flow of the channel exceeds a second preset value, and determine a hotspot data type according to the size of the network data access flow;
and the controller (15) is used for coordinating the operation of the modules.
2. The big data implementation system based on network security according to claim 1, characterized in that the big data implementation platform (1) is a big data server.
3. The big data implementation system based on network security of claim 1, wherein the data interface comprises: the device comprises serial ports, parallel ports, USB interfaces, Ethernet interfaces, wireless receivers and CAN interfaces, wherein the number of each serial port, parallel port, USB interface, Ethernet interface, wireless receiver and CAN interface is at least one.
4. The big data implementation system based on network security of claim 1, wherein the network security administration module (14) further comprises: a sensitive information filtering unit; and the sensitive information filtering unit is used for filtering illegal advertisement information and unhealthy information.
5. A big data implementation method based on network security is characterized by comprising the following steps:
collecting multi-channel data in parallel through a data receiver with various data interfaces, packaging frame data of each channel of data, and adding priority numbers and frame numbers to frame headers of each frame of each channel of data;
carrying out redundancy processing and verification processing on each path of data according to each path of data transmission protocol, and storing the data subjected to the redundancy processing and the verification processing to each path of data receiving buffer and data receiving memory; the data receiving buffer is used for receiving the data of the first ten frames and storing the data of the first ten frames and the data of the later frames into the data receiving memory; when the data in the data receiving buffer is less than ten frames, the data in the data receiving memory is automatically transmitted to the data receiving buffer;
taking out the data to be transmitted from the data receiving buffer according to the priority number and the frame number, analyzing the data information and outputting the screened useful data according to the priority number and the frame number; the data receiving buffer is used for receiving a data receiving mark of a frame to be transmitted, wherein the data receiving buffer is used for receiving the data to be transmitted; comparing the analyzed data information with prestored interception information, wherein the analyzed data information is useful information when the contact ratio is smaller than a first preset value;
network security supervision is carried out on the big data; the method specifically comprises the following steps: detecting the network transmission rate and the resource occupancy rate of each data transmission channel in real time;
accessing the network big data through the account, the password and the two-dimension code; the identity authentication is carried out through an account and a password, and the payment authentication is carried out on the access of certain network data through the two-dimensional code;
and monitoring the network data access flow of each data transmission channel in real time, adding the network flow to a certain channel when the network data access flow of the channel exceeds a second preset value, and determining the type of the hot spot data according to the size of the network data access flow.
6. The big data implementation method based on network security as claimed in claim 5, wherein the big data implementation is subject to network security supervision; further comprising: and filtering illegal advertisement information and unhealthy information.
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| CN108415854A (en) * | 2018-02-11 | 2018-08-17 | 中国神华能源股份有限公司 | Data collecting system based on shared buffer memory and method |
| CN109117654A (en) * | 2018-08-21 | 2019-01-01 | 浙江大数据交易中心有限公司 | A kind of big data really weighs method and system |
| CN109714402A (en) * | 2018-12-12 | 2019-05-03 | 胡书恺 | A kind of redundant data acquisition system and its operation application method |
| 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 |
| CN113886126A (en) * | 2021-10-13 | 2022-01-04 | 中里大数据服务(上海)有限公司 | Fault-tolerant server-based intelligent management and control system and method |
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