Novel encryption system for computer network security

Abstract

The invention discloses a novel encryption system for computer network security, and the system comprises a server side, a collection module which is used for collecting operation habits of a user and generating operation habit information; the pre-judging module is used for pre-judging the safety of the operation habit information; the analysis module is used for analyzing the operation habit data of the user according to the security of the pre-judged operation habit data to generate an analysis structure; the storage module is used for storing the operation habit data processed by the analysis module and the operation habit data of the user verified to be legal in the pre-judgment module; the updating module is used for updating the operation habit data of the user in the operation habit storage unit; the output module is used for generating a graphical operation interface according to the operation habit data, processed by the data processing unit, of the user and transmitting the generated graphical operation interface to the client; and the transmission module is used for transmitting the operation habit data of the user processed by the analysis module.

Description

Technical Field

[0001] The present invention relates to the technical field of network security encryption, and in particular to a novel encryption system for computer network security. Background Art

[0002] The rapid development of the Internet has brought great convenience to people's daily life and work, but it has also brought various security risks, and network security is the most serious of these risks. Network security refers to the protection of the hardware, software and data in the network system, and it will not be damaged, changed or leaked due to accidental or malicious reasons. The system will run continuously and reliably, and the network service will not be interrupted. In the network environment, people are faced with various security issues, including information security, operation safety, and use safety. To solve these problems, it is necessary to enhance network security awareness, establish a complete network security mechanism, and improve network security technology. In the computer field, encryption systems are an important way to protect information security, and encryption technology is the core content of encryption systems. Encryption technology has gone through the following stages from simple to complex: Encryption technology stage Encryption technology is the core of network security. From the perspective of scalable functions, network security technology has roughly gone through the following five stages: (1) The security technology stage with encryption algorithms as the core; represented by the Data Encryption Standard (DES), the DES algorithm was created in the early 1970s. Before the mid-1980s, almost all encryption schemes used DES or its compatible algorithms; (2) The stage with identity authentication and access control as the core technology; (3) The stage with key management as the core technology; (4) The stage with data security storage as the core technology; such as the security mechanism of the database system; (5) The stage with security architecture and platform as the core technology. In order to ensure the confidentiality, integrity and availability of data, encryption technology needs to be used during network communication transmission. At the same time, one party of communication needs to authenticate the identity of the other party to prevent illegal users from impersonating legitimate users to communicate. Therefore, in network transmission, encryption technology is closely combined with identity authentication. In the network, identity authentication and access control are also called security association. Security association is essentially to establish an identity for each user in the network, and on this basis, discover a user and determine what kind of access and use rights he (she) has to resources. Therefore, in computer network security, how to ensure that users can quickly distinguish between legitimate users and illegal users when using the graphical operation interface set up on the server side has become a problem we need to solve. Summary of the invention

[0003] In view of the shortcomings of the prior art, the present invention provides a new encryption system for computer network security, which is easy to operate and has a high degree of security, and solves the problem that the prior art is complex in operation and is not combined with the new computer network security. To achieve the above purpose, the present invention is implemented through the following technical scheme: The new encryption system for computer network security includes a server side, and also includes the following structure: a collection module for collecting the user's operating habits and generating operating habit information. The collection module includes: a collection unit for collecting the user's operating habits and generating operating habit data. A receiving unit for receiving operating habit data; a prejudgment module for prejudging the security of the operating habit information, including: a prejudgment unit for prejudging the security of the operating habit information; a verification unit for verifying the legitimacy of the user. An analysis module for analyzing the user's operating habit data according to the prejudgment of the security of the operating habit data, and generating an analysis structure; the analysis module includes: an analysis unit for analyzing the user's operating habit data; a data processing unit for processing the user's analyzed operating habit data. A storage module is used to store the operation habit data processed by the analysis module and the operation habit data of the user after being verified as legal in the prediction module; the storage module includes: a legal user storage unit, which is used to store the operation habit data of the user after being verified as legal in the prediction module; an operation habit storage unit, which is used to store the operation habit data processed by the data processing unit. An update module is used to update the operation habit data of the user in the operation habit storage unit; the update module includes: a monitoring unit, which is used to monitor the operation habit data of the user in the operation habit storage unit; a comparison unit, which is used to compare the operation habit data of the user in the storage module with the operation habit data of the user in the operation habit storage unit; a replacement unit, which is used to replace the old operation habit data of the user in the operation habit storage unit with the operation habit data of the user in the storage module. An output module is used to generate a graphical operation interface for the operation habit data of the user processed by the data processing unit, and transmit the generated graphical operation interface to the client. A transmission module is used to transmit the operation habit data of the user processed by the analysis module. The setting module is used to set various parameters for the server and the client, including transmitting the user's operating habit data processed by the data processing unit to the client in a graphical form, and connecting the verification unit to the database to predict the user's operating habit data. The interactive module provides a safe environment for the user's identity authentication on the client; the interactive module includes: a connection unit, which is used to connect the client to the server; an interactive unit, which is used to verify the user's request through the request verification server and then send it to the request database. The user database is used to store data information of various legitimate users. The request database stores data on the security of the predicted operating habit data.Preferably, the user's operation habit data includes the user's input behavior data and the user's network traffic data, the user's operation habit information is the operation habit data of legal users and illegal users, and the user's operation habit data includes the amount of operation data, operation time, and request type. Preferably, the verification method of the pre-judgment module includes the following steps: Step 1, the collection module collects the user's request and the operation habit data in the request, and judges the legitimacy of the user according to the collected request content. Step 2, the verified pre-judged user's operation habit data is transmitted to the analysis module. Preferably, the user's operation habit data collected by the collection module includes the user's operation behavior, specifically: 1) The user's operation behavior data includes the user's operation times, operation frequency, and the user's input network traffic data. 2) Generate habit information for the user's operation habit data, and the habit information includes the user's operation times information and input network traffic information. Preferably, the analysis module processes the user's operation habit data including the following steps: Step 1, transmit the operation habit data of the legal user predicted in the pre-judgment module to the storage module of the server, store the user's operation habit data in the storage module, and mark it as a legal user. At the same time, record the user's request type and the data of the operation data volume and operation time. Step 2: further analyze the operation habit data of legitimate users, classify the operation habit data marked as legitimate users according to the request type and operation data volume, sort them according to the operation time, and generate a time sequence diagram of the operation time. Step 3: analyze the number of operations and the amount of operation data, and generate a time sequence diagram of the user's operation frequency and network traffic. Step 4: analyze the number of operations and the operation time of the user, and generate data on the user's request time and number. Step 5: analyze the user's request and network traffic, and generate data on the user's request network size and request type. Preferably, the setting module transmits the user's operation habit data processed by the analysis module in a graphical form, including: 1) the setting module presets a first preset value, a second preset value, and a third preset value. 2) the setting module compares the operation data volume with the range of the first preset value and the third preset value, and according to the comparison, performs a first processing on the operation data volume. 3) the setting module compares the user's operation time with the range of the second preset value, and according to the comparison, performs a second processing on the operation time. Preferably, the setting module transmits the user's operation habit data processed by the analysis module in a graphical form, including: a first preset value, including the maximum operation data volume and the minimum operation data volume; a second preset value, including the maximum operation time and the minimum operation time; a third preset value, including the maximum and minimum operation data volume difference and the maximum and minimum time difference; the definition and processing method of the third preset value. Third preset value: This preset value is used to define the reasonable fluctuation range of operation data volume and operation time, that is, the difference between the maximum and minimum operation data volume and the maximum and minimum operation time. This helps to identify abnormal behaviors, such as sudden surges in data volume or abnormal extensions in operation time.

[0004] Processing method: Data volume difference processing: If the difference between the amount of operation data and the previous amount of data exceeds the maximum difference defined in the third preset value, the system will execute a specific safety check or alarm mechanism.

[0005] If the difference is within the range of the third preset value, the system will regard it as a normal fluctuation and no additional safety measures are required.

[0006] Time difference processing: Similarly, if the difference between the operation time and the previous time exceeds the maximum time difference defined in the third preset value, the system will also perform a safety check or alarm.

[0007] If the time difference is within the preset range, the system will process the data normally.

[0008] Graphical output: In the graphical output, if the difference in the amount of operation data or time exceeds the third preset value, these data points may be displayed in different colors or marks to remind users or administrators to pay attention to these anomalies; if the amount of operation data is within the range of the first preset value, the first processing is performed, and the first processing includes outputting according to the timeline; if the amount of operation data is within the range of less than the first preset value, the second processing is performed, and the second processing includes outputting according to the timeline after statistical summation. If the amount of operation data is greater than the range of the first preset value, the third processing is performed, and the third processing includes outputting according to the timeline and marking it out. As a preferred embodiment, the setting module transmits the user's operation habit data processed by the analysis module in a graphical form, including: if the operation time is within the range of the second preset value, it is output according to the timeline after statistical summation; if the operation time is within the range of less than the second preset value, it is output according to the timeline after statistical summation and marking it out; if the operation time is greater than the second preset value, it is output according to the timeline after statistical summation and marking it out; after comparing the input network traffic data with the minimum input network traffic data and the maximum input network traffic data, the input network traffic data is subjected to the fourth processing. After comparing the network traffic request type with the network traffic request type, the input network traffic request type is subjected to the fifth processing. Preferably, the fourth processing includes the following steps: Step 1, transmitting the amount of data operated by the legal user to the legal user storage unit of the storage module, and summing the data. Step 2, transmitting the summed data to the operation habit storage unit of the storage module. Step 3, outputting and marking the summed data at regular intervals. Step 4, outputting the summed data to the client. The fifth processing includes the following steps: Step 1, classifying the data according to the user's request type based on the user's operation habit data. Step 2, counting the user request type corresponding to each user operation. Step 3, recording the amount of operation data of each user operation. Preferably, the replacement unit replaces the operation habit data of the new data in the operation habit storage unit with the operation habit data of the user in the storage module, specifically: the monitoring unit collects the operation habit data of the user in the operation habit storage unit in the storage module, and compares the collected operation habit data of the legal user with the operation habit data of the legal user in the operation habit storage unit; compares the operation habit data of the new data with the collected data, and if the compared data are consistent, deletes the old data in the operation habit storage unit; if the compared data are inconsistent, no replacement is performed. Preferably, the working process of the interaction module includes: after receiving the user's request, the receiving unit transmits the user's request to the request database. The request database compares the user's request with the user request data in the legal user database. The request database transmits the comparison result to the interaction unit. If the data matching the user's request is found, the interaction unit transmits the request result back to the client.If no data matching the user's request is found, the interaction unit transmits the user's request back to the client and marks the request result as a dangerous request. The interaction unit transmits the record marked as a dangerous request to the server.

[0009] The present invention provides a new encryption system for computer network security, which has the following beneficial effects: 1. Easy to operate and high in security. It combines the user's request with the type and range of the user's operation data and the input network traffic data, making the data more complex and more encrypted. 2. The user's operation data volume and the user's operation time are classified according to different operators. The user's operation data volume data is displayed in different ways, allowing the user to selectively output the data, thereby improving the user experience of the operation interface. 3. The monitoring unit collects the user's operation habit data of the operation habit storage unit in the storage module, and compares the collected operation habit data of the legitimate user with the operation habit data of the legitimate user in the operation habit storage unit; the operation habit data of the new data is compared with the collected data to ensure the consistency of the new data with the valid data. 4. The user database, the request database and the interaction unit are combined to improve the security of user operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0011] Figure 1 This is a module architecture diagram of the present invention; Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0012] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0013] See also Figure 1-2 , the present invention provides a technical solution: Example A novel encryption system for computer network security includes a server side and the following structures: a collection module for collecting user operation habits and generating operation habit information; the collection module includes: a collection unit for collecting user operation habits and generating operation habit data; a receiving unit for receiving operation habit data; a prejudgment module for prejudging the security of operation habit information, including: a prejudgment unit for prejudging the security of operation habit information; a verification unit for verifying the legitimacy of the user; an analysis module for analyzing the user's operation habit data based on the prejudged security of the operation habit data and generating an analysis structure; the analysis module includes: an analysis unit for analyzing the user's operation habit data; a data processing unit for processing the analyzed operation habit data of the user; a storage module for storing the operation habit data processed by the analysis module and the operation habit data of the user after being verified as legal in the prejudgment module; the storage module includes: a legal user storage unit for storing the operation habit data of the user after being verified as legal in the prejudgment module; an operation habit storage unit for storing the operation habit data processed by the data processing unit; an update module for updating the user's operation habit data in the operation habit storage unit; the update module includes: a monitoring unit for monitoring the operation habit data of the user. The operating habit data of the user in the operating habit storage unit; a comparison unit, used to compare the operating habit data of the user in the storage module with the operating habit data of the user in the operating habit storage unit; a replacement unit, used to replace the old operating habit data of the user in the operating habit storage unit with the operating habit data of the user in the storage module; an output module, used to generate a graphical operation interface with the operating habit data of the user processed by the data processing unit, and transmit the generated graphical operation interface to the client; a transmission module, used to transmit the operating habit data of the user processed by the analysis module; a setting module, used to set various parameters for the server and the client, including transmitting the operating habit data of the user processed by the data processing unit to the client in a graphical form, and connecting the verification unit with the database to predict the operating habit data of the user; an interaction module, providing a safe environment for the user's identity authentication on the client; the interaction module includes: a connection unit, used to connect the client with the server; an interaction unit, used to verify the user's request through the request verification server, and then send it to the request database; a user database, used to store data information of various legitimate users; the request database stores data with predicted security of the operating habit data. The user's operation habit data includes the user's input behavior data and the user's network traffic data. The user's operation habit information is the operation habit data of legal users and illegal users. The user's operation habit data includes the operation data volume, operation time, and request type.The verification method of the prediction module includes the following steps: Step 1, the collection module collects the user's request and the operation habit data in the request, and judges the legitimacy of the user according to the collected request content; Step 2, the verified predicted user's operation habit data is transmitted to the analysis module; The collection module collects the user's operation habit data including the user's operation behavior, specifically: 1) The user's operation behavior data includes the user's operation times, operation frequency and user input network traffic data; 2) Generate habit information for the user's operation habit data, and the habit information includes the user's operation times information and input network traffic information; The analysis module processes the user's operation habit data including the following steps: Step 1, transmit the operation habit data of the user predicted as a legitimate user in the prediction module to the analysis module; In the storage module of the server, the user's operation habit data is stored in the storage module and marked as a legitimate user; at the same time, the user's request type, operation data volume, and operation time data are recorded; step two, further analyze the operation habit data of the legitimate user, classify the operation habit data marked as the legitimate user according to the request type and operation data volume, sort them according to the operation time, and generate a timing diagram of the operation time; step three, analyze the number of operations and the amount of operation data, and generate a timing diagram of the user's operation frequency and network traffic; step four, analyze the number of operations and the operation time of the user, and generate data on the user's request time and number; step five, analyze the user's request and network traffic, and generate data on the user's request network size and request type. Among them, the setting module transmits the user's operation habit data processed by the analysis module in a graphical form, including: 1) the setting module presets a first preset value, a second preset value and a third preset value; 2) the setting module compares the operation data volume with the range of the first preset value and the third preset value, and performs a first process on the operation data volume according to the comparison; 3) the setting module compares the user's operation time with the range of the second preset value, and performs a second process on the operation time according to the comparison; the setting module transmits the user's operation habit data processed by the analysis module in a graphical form, specifically: the first preset value, including the maximum operation data volume and the minimum operation data volume; the second preset value, including the maximum operation time and the minimum operation time; the third preset value, including the maximum and minimum operation data volume difference and the maximum and minimum time difference; the third preset value: this preset value is used to define the reasonable fluctuation range of the operation data volume and the operation time, that is, the maximum and minimum operation data volume difference and the maximum and minimum operation time difference. This helps to identify abnormal behavior, such as a sudden surge in data volume or an abnormal extension of operation time.

[0014] Processing method: Data volume difference processing: If the difference between the amount of operation data and the previous amount of data exceeds the maximum difference defined in the third preset value, the system will execute a specific safety check or alarm mechanism.

[0015] If the difference is within the range of the third preset value, the system will regard it as a normal fluctuation and no additional safety measures are required.

[0016] Time difference processing: Similarly, if the difference between the operation time and the previous time exceeds the maximum time difference defined in the third preset value, the system will also perform a safety check or alarm.

[0017] If the time difference is within the preset range, the system will process the data normally.

[0018] Graphical output: In the graphical output, if the difference in the amount of operation data or time exceeds a third preset value, these data points may be displayed in different colors or marks to alert users or administrators to these anomalies; when the amount of operation data is within the range of the first preset value, a first processing is performed, and the first processing includes outputting according to a timeline; when the amount of operation data is within a range less than the first preset value, a second processing is performed, and the second processing includes statistical summation and outputting according to a timeline; when the amount of operation data is greater than the range of the first preset value, a third processing is performed, and the third processing includes outputting according to a timeline and marking it out. Among them, the setting module transmits the user's operation habit data processed by the analysis module in a graphical form: the present invention also provides a specific method for using a new encryption system for computer network security. When the system is in use, the user needs to verify the logged-in device and then encrypt the operation data. The user's operation data is uploaded to the server for verification, and the verified operation data is converted into graphic data, and the graphic data is stored in the storage module of the server. By providing graphic data on the client, the user selects his own graphic data through the client, and the server obtains the user's graphic data selected by the client. The server decrypts the graphic data, and the user's operation data is stored in the storage module. The user's operation data is analyzed by the analysis module, the legitimacy of the user is verified, and the user's operation data is converted into graphic data, and transmitted to the client to generate the user's operation interface. If the graphic data on the server side matches the user's operation interface on the client, it means that the graphic data on the server side is credible, otherwise, it is not credible. In order to ensure the security of the user's operation, after the user's operation interface is generated, it is also necessary to verify the user's operation interface, and perform secondary verification through the interactive module, and use the operation interface after the secondary verification.Among them, the setting module transmits the user's operation habit data processed by the analysis module in a graphical form specifically as follows: if the operation time is within the range of the second preset value, it is output according to the timeline after statistical summation; if the operation time is within the range less than the second preset value, it is output according to the timeline after statistical summation and marked; if the operation time is greater than the second preset value, it is output according to the timeline after statistical summation and marked; after comparing the input network traffic data with the minimum input network traffic data and the maximum input network traffic data, the input network traffic data is subjected to a fourth processing; after comparing the network traffic request type with the network traffic request type, the input network traffic request type is subjected to a fourth processing. The fifth processing is performed according to the type; wherein the fourth processing includes the following steps: step 1, transmitting the amount of data operated by the legal user to the legal user storage unit of the storage module, and statistically summing; step 2, transmitting the statistically summed data to the operation habit storage unit of the storage module; step 3, outputting and marking the statistically summed data at regular intervals; step 4, outputting the statistically summed data to the client; wherein the fifth processing includes the following steps: step 1, classifying according to the user's request type according to the user's operation habit data; step 2, counting the user request type corresponding to each user operation; step 3, recording the amount of operation data of each user operation. The present invention has a simple structure, can effectively judge the user's operation habits, and convert the user's operation habits into visual graphics. Through a graphical operation interface, the user's operation data is verified for legitimacy, which can effectively ensure the security of the client, and the user's operation habits are analyzed, and the user's operation habits can be matched with the client, and the user's operation interface can be generated according to the user's operation habits, and the user interface is verified twice through images to ensure the security of the user operation interface, thereby ensuring the user's safe operation.

[0019] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A novel encryption system for computer network security, including a server side, characterized in that: It also includes the following structures: a collection module, used to collect the user's operating habits and generate operating habit information; The collection module includes: a collection unit for collecting the user's operating habits and generating operating habit data; a receiving unit for receiving the operating habit data; a pre-judgment module for pre-judgment of the security of the operating habit information, including: a pre-judgment unit for pre-judgment of the security of the operating habit information; a verification unit for verifying the legitimacy of the user; an analysis module for analyzing the user's operating habit data based on the predicted security of the operating habit data and generating an analysis structure; the analysis module includes: an analysis unit for analyzing the user's operating habit data; a data processing unit for processing the analyzed operating habit data of the user; a storage module for storing the operating habit data processed by the analysis module and the operating habit data of the user after being verified as legal in the pre-judgment module; the storage module includes: a legal user storage unit for storing the operating habit data of the user after being verified as legal in the pre-judgment module; an operating habit storage unit for storing the operating habit data processed by the data processing unit; an updating module for updating the operating habit data of the user in the operating habit storage unit; the updating module includes: a monitoring unit for monitoring the operating habit data of the user in the operating habit storage unit; a comparing unit for comparing the stored The operation habit data of the user in the storage module is compared with the operation habit data of the user in the operation habit storage unit; the replacement unit is used to replace the old operation habit data of the user in the operation habit storage unit with the operation habit data of the user in the storage module; the output module is used to generate a graphical operation interface with the operation habit data of the user processed by the data processing unit, and transmit the generated graphical operation interface to the client; the transmission module is used to transmit the operation habit data of the user processed by the analysis module; the setting module is used to set various parameters for the server and the client, including transmitting the operation habit data of the user processed by the data processing unit to the client in a graphical form, and connecting the verification unit with the database to predict the operation habit data of the user; the interaction module provides a safe environment for the user's identity authentication on the client; the interaction module includes: a connection unit, which is used to connect the client with the server; an interaction unit, which is used to verify the user's request through the request verification server and then send it to the request database; a user database, which is used to store data information of various legitimate users; the request database stores data on the security of the predicted operation habit data.

2. The novel encryption system for computer network security according to claim 1 is characterized in that: The user's operating habit data includes the user's input behavior data and the user's network traffic data. The user's operating habit information is the operating habit data of legal users and illegal users. The user's operating habit data includes the amount of operation data, operation time, and request type.

3. The novel encryption system for computer network security according to claim 1 is characterized in that: The verification method of the prediction module includes the following steps: step one, collecting the user's request and the operating habit data in the request in the collection module, and judging the legitimacy of the user based on the collected request content; step two, transmitting the verified predicted user's operating habit data to the analysis module.

4. The novel encryption system for computer network security according to claim 3 is characterized in that: The acquisition module collects the user's operation habit data including the user's operation behavior, specifically: 1) the user's operation behavior data includes the user's operation times, operation frequency and the user's input network traffic data; 2) generates habit information based on the user's operation habit data, and the habit information includes the user's operation times information and input network traffic information.

5. The novel encryption system for computer network security according to claim 1 is characterized in that: The analysis module processes the user's operation habit data including the following steps: Step 1, transmitting the operation habit data of the user predicted as a legitimate user in the prediction module to the storage module of the server, storing the user's operation habit data in the storage module, and marking it as a legitimate user; at the same time, recording the user's request type and the data of the operation data volume and operation time; Step 2, further analyzing the operation habit data of the legitimate user, classifying the operation habit data marked as the legitimate user according to the request type and the operation data volume, sorting them according to the operation time, and generating a timing diagram of the operation time; Step 3, analyzing the number of operations and the amount of operation data, and generating a timing diagram of the user's operation frequency and network traffic; Step 4, analyzing the number of operations and the operation time of the user, and generating data on the user's request time and number; Step 5, analyzing the user's request and network traffic, and generating data on the user's request network size and request type.

6. The novel encryption system for computer network security according to claim 1 is characterized in that: The setting module transmits the user's operation habit data processed by the analysis module in a graphical form, including: 1) The setting module presets a first preset value, a second preset value and a third preset value; 2) The setting module compares the amount of operation data with the range of the first preset value and the third preset value, and performs a first process on the amount of operation data according to the comparison result; 3) The setting module compares the user's operation time with the range of the second preset value, and performs a second process on the operation time according to the comparison result.

7. The novel encryption system for computer network security according to claim 6 is characterized in that: The setting module transmits the user's operation habit data processed by the analysis module in a graphical form, including: The first preset value includes a maximum operation data volume and a minimum operation data volume; The second preset value includes a maximum operation time and a minimum operation time; The third preset value includes the maximum and minimum operation data volume differences and the maximum and minimum time differences; when the operation data volume is within the range of the first preset value, the first processing is performed, and the first processing includes outputting according to the timeline; when the operation data volume is within the range less than the first preset value, the second processing is performed, and the second processing includes statistical summation and outputting according to the timeline; when the operation data volume is greater than the range of the first preset value, the third processing is performed, and the third processing includes outputting according to the timeline and marking it.

8. The novel encryption system for computer network security according to claim 7 is characterized in that: The setting module transmits the user's operation habit data processed by the analysis module in a graphical form, including: when the operation time is within the range of the second preset value, it is output according to the timeline after statistical summation; when the operation time is within the range less than the second preset value, it is output according to the timeline after statistical summation and marked; when the operation time is greater than the second preset value, it is output according to the timeline after statistical summation and marked; after comparing the input network traffic data with the minimum input network traffic data and the maximum input network traffic data, the input network traffic data is subjected to a fourth processing; after comparing the network traffic request type with the network traffic request type, the input network traffic request type is subjected to a fifth processing.

9. The novel encryption system for computer network security according to claim 8 is characterized in that: The fourth processing includes the following steps: step 1, transmitting the data volume of legitimate user operations to the legitimate user storage unit of the storage module, and summing them up; step 2, transmitting the statistically summed data volume to the operation habit storage unit of the storage module; step 3, outputting and marking the statistically summed data volume at regular intervals; step 4, outputting the statistically summed data volume to the client; the fifth processing includes the following steps: step 1, classifying according to the user's request type based on the user's operation habit data; step 2, counting the user request type corresponding to each user operation; step 3, recording the operation data volume of each user operation.

10. The novel encryption system for computer network security according to claim 1 is characterized in that: The replacement unit replaces the operation habit data of the new data in the operation habit storage unit with the operation habit data of the user in the storage module, specifically: the monitoring unit collects the operation habit data of the user in the operation habit storage unit in the storage module, and compares the collected operation habit data of the legitimate user with the operation habit data of the legitimate user in the operation habit storage unit; The operation habit data of the new data is compared with the collected data. If the compared data are consistent, the old data in the operation habit storage unit is deleted; if they are inconsistent after comparison, no replacement is performed.

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