CN117040937A - Network safety monitoring system based on computer hardware - Google Patents
Network safety monitoring system based on computer hardware Download PDFInfo
- Publication number
- CN117040937A CN117040937A CN202311303006.1A CN202311303006A CN117040937A CN 117040937 A CN117040937 A CN 117040937A CN 202311303006 A CN202311303006 A CN 202311303006A CN 117040937 A CN117040937 A CN 117040937A
- Authority
- CN
- China
- Prior art keywords
- network
- module
- trend graph
- network parameters
- dynamic trend
- 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 30
- 238000010276 construction Methods 0.000 claims abstract description 33
- 238000011156 evaluation Methods 0.000 claims abstract description 25
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 238000000034 method Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/20—Network architectures or network communication protocols for network security for managing network security; network security policies in general
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/40—Network security protocols
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention relates to the technical field of network security, in particular to a network security monitoring system based on computer hardware, which comprises: the control terminal is a main control terminal of the system and is used for sending out an execution command; the acquisition module is used for acquiring real-time operation network parameters of the computer connection router; the construction module is used for receiving the network parameters acquired in the acquisition module and constructing a network parameter dynamic trend graph by applying the network parameters; the evaluation module is used for receiving the dynamic trend graph of the network parameters constructed in the construction module and evaluating the network security based on the dynamic trend graph of the network parameters; the invention can collect the network parameters generated by the operation of the router connected with the computer, further constructs a dynamic trend chart of the network parameters by the collected network parameters, and analyzes the network security by the stability of the dynamic trend chart of the network parameters, so that the network security analysis result of the operation output of the system is more accurate and reliable.
Description
Technical Field
The invention relates to the technical field of network security, in particular to a network security monitoring system based on computer hardware.
Background
The internet is a vast network that is formed from networks in series. These networks are connected in a set of common protocols to form a logically single and huge global network in which there are network devices such as switches, routers, etc., various different connection links, a whole variety of servers and inexhaustible computers, terminals. The Internet can be used for instantly sending information to hands outside thousands, which is the basis of information society.
However, current network security monitoring technologies are often focused on the development of monitoring technologies for networks themselves, and for routers that provide a network to a computer, the network is not securely monitored based on network parameters generated by the router.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a network security monitoring system based on computer hardware, which solves the technical problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
a computer hardware-based network security monitoring system, comprising:
the control terminal is a main control terminal of the system and is used for sending out an execution command;
the acquisition module is used for acquiring real-time operation network parameters of the computer connection router;
the construction module is used for receiving the network parameters acquired in the acquisition module and constructing a network parameter dynamic trend graph by applying the network parameters;
the evaluation module is used for receiving the dynamic trend graph of the network parameters constructed in the construction module and evaluating the network security based on the dynamic trend graph of the network parameters;
the setting module is used for receiving the network security evaluated in the evaluation module, setting a network security evaluation threshold value, comparing the network security evaluation threshold value with the received network security evaluation result, and judging whether the current network is secure;
the feedback module is used for acquiring the network security judgment result in the setting module and outputting the network security judgment result;
the network security judgment result output target in the feedback module is a control terminal, and a system end user reads the network security judgment result in the control terminal.
Still further, the acquisition module is provided with the submodule in the lower level, includes:
the monitoring unit is used for detecting the running state of the computer and capturing the computer network connection request in real time;
the storage unit is used for receiving the network parameters which are real-time operated by the router after the computer acquired by the acquisition module is connected with the router, and storing the network parameters which are real-time operated by the router;
the router is connected with the computer after confirming the network connection request, and provides network signals to the computer in real time, and the router runs network parameters in real time including: network frequency band, network rate, network protocol.
Furthermore, in the operation stage of the storage unit, a network rate distinguishing storage interval is synchronously set, and the storage unit distinguishes and stores each network parameter stored inside based on the network rate distinguishing interval;
the storage unit stores network parameters stored in the storage unit in real time, and calculates the storage network parameters of each storage interval in real time, wherein the maximum one group of the calculated duty ratio is recorded as a network security expression score.
Further, in the operation stage of the construction module, network parameters are acquired in a storage unit, and the construction of the dynamic trend graph of the network parameters is completed by the network rate in the acquired network parameters;
the construction module operates to receive the latest stored network parameters in the storage unit in real time, and applies the received network parameters to perform state alternation on the network parameter dynamic trend graph constructed in the construction module.
Still further, the building module is internally provided with a sub-module, including:
the analysis unit is used for reading the dynamic trend graph of the network parameters and analyzing the stability of the dynamic trend graph of the network parameters;
the stability of the dynamic trend graph of the network parameters is calculated by the following formula:
；
wherein:stability of the dynamic trend graph for the network parameters; />A set of network rates embodied in a dynamic trend graph of network parameters; />A value of network rate 1; />Target contrast value for network rate; />A specified value for the network rate;is->Including the total amount of network rate;
wherein,the smaller the value of (2) is, the more stable the dynamic trend graph of the network parameters is, and on the contrary, the less stable the dynamic trend graph of the network parameters is, the +.>∈/>。
Furthermore, the stability of the dynamic trend graph of the network parameter is calculated based on the state alternation and synchronization of the dynamic trend graph of the network parameter, and the stability of the dynamic trend graph of the network parameter is calculated according to the change logic of the formula:
；
；
and so on.
Still further, the network security assessment logic in the assessment module is expressed as:
；
wherein:is a network security value; />The score is embodied for network security; />The total number of state changes of the dynamic trend graph of the network parameters is changed; />Stability of the network parameter dynamic trend graph when the state of the first network parameter dynamic trend graph is changed;the total amount is changed for the state of the dynamic trend graph of the network parameters; />The number of network users; />The network connection time; />Is the network complexity.
Still further, the network complexity is expressed as:
；
wherein:a number of network links included in the network; />The total length of all network links in the network; />Initial scores for network complexity.
Further, an operation period is set in the feedback module, the feedback module feeds back the network security judgment result obtained by the operation of the setting module in real time based on the operation period, and the feedback module feeds back the network security judgment result immediately when the network security judgment result in the setting module is unsafe;
and when the feedback module runs and feeds back the network security judgment result, synchronously feeding back the network security judgment result source network parameter dynamic trend graph.
Furthermore, the control terminal is electrically connected with an acquisition module through a medium, the lower level of the acquisition module is electrically connected with a monitoring unit and a storage unit through the medium, the acquisition module is electrically connected with a construction module through the medium, the construction module is electrically connected with the storage unit through the medium, an analysis unit is electrically connected inside the construction module through the medium, and the construction module is electrically connected with an evaluation module, a setting module and a feedback module through the medium.
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
1. the invention provides a network security monitoring system based on computer hardware, which can collect network parameters generated by the operation of a router connected with a computer in the operation process of the system, further construct a network parameter dynamic trend chart by the collected network parameters, and analyze network security by the stability of the network parameter dynamic trend chart, so that the network security analysis result of the operation output of the system is more accurate and reliable.
2. In the running process of the system, the dynamic trend graph of the network parameters can be changed in real time through logic setting, so that the accuracy of the result of the network security analysis during the running of the system is improved, and the acquired network parameters are stored, so that the subsequent re-reading of the network parameters by a system end user is facilitated, and more convenient and comprehensive network security monitoring conditions are brought to the system end user.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of a network security monitoring system based on computer hardware;
FIG. 2 is a dynamic trend chart of network parameters constructed by the construction module of the present invention;
reference numerals in the drawings represent respectively: 1. a control terminal; 2. an acquisition module; 21. a monitoring unit; 22. a storage unit; 3. constructing a module; 31. an analysis unit; 4. an evaluation module; 5. setting a module; 6. and a feedback module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1: the network security monitoring system based on computer hardware of this embodiment, as shown in fig. 1, includes:
the control terminal 1 is a main control end of the system and is used for sending out an execution command;
the acquisition module 2 is used for acquiring real-time operation network parameters of the computer connection router;
the construction module 3 is used for receiving the network parameters acquired in the acquisition module 2 and constructing a network parameter dynamic trend graph by applying the network parameters;
the evaluation module 4 is used for receiving the dynamic trend graph of the network parameters constructed in the construction module 3 and evaluating the network security based on the dynamic trend graph of the network parameters;
the setting module 5 is configured to receive the network security evaluated in the evaluation module 4, set a network security evaluation threshold, and compare the network security evaluation threshold with the received network security evaluation result to determine whether the current network is secure;
the feedback module 6 is configured to obtain the network security determination result in the setting module 5, and output the network security determination result;
the network security judgment result output target in the feedback module 6 is the control terminal 1, and a system end user reads the network security judgment result in the control terminal 1;
the acquisition module 2 is provided with the submodule in the next stage, includes:
a monitoring unit 21 for detecting the running state of the computer and capturing the computer network connection request in real time;
the storage unit 22 is configured to receive the network parameters that are real-time operated by the router after the computer collected by the collection module 2 is connected to the router, and store the network parameters that are real-time operated by the router;
the router is connected with the computer after confirming the network connection request, and provides network signals to the computer in real time, and the router runs network parameters in real time including: network frequency band, network rate, network protocol;
the building block 3 is internally provided with sub-modules comprising:
the analysis unit 31 is configured to read the dynamic trend graph of the network parameter, and analyze the stability of the dynamic trend graph of the network parameter;
the stability of the dynamic trend graph of the network parameters is calculated by the following formula:
；
wherein:stability of the dynamic trend graph for the network parameters; />A set of network rates embodied in a dynamic trend graph of network parameters; />A value of network rate 1; />Target contrast value for network rate; />A specified value for the network rate;is->Including the total amount of network rate;
wherein,the smaller the value of (2) is, the more stable the dynamic trend graph of the network parameters is, and on the contrary, the less stable the dynamic trend graph of the network parameters is, the +.>∈/>；
The stability of the network parameter dynamic trend graph is calculated based on the state alternation synchronization of the network parameter dynamic trend graph, and the stability calculation formula change logic of the network parameter dynamic trend graph is as follows:
；
；
and so on;
the network security assessment logic in the assessment module 4 is expressed as:
；
wherein:is a network security value; />The score is embodied for network security; />The total number of state changes of the dynamic trend graph of the network parameters is changed; />Stability of the network parameter dynamic trend graph when the state of the first network parameter dynamic trend graph is changed;the total amount is changed for the state of the dynamic trend graph of the network parameters; />The number of network users; />The network connection time; />Is the network complexity;
the network complexity is expressed as:
；
wherein:a number of network links included in the network; />The total length of all network links in the network; />Initial score for network complexity;
the control terminal 1 is electrically connected with the acquisition module 2 through a medium, the lower level of the acquisition module 2 is electrically connected with the monitoring unit 21 and the storage unit 22 through the medium, the acquisition module 2 is electrically connected with the construction module 3 through the medium, the construction module 3 is electrically connected with the storage unit 22 through the medium, the analysis unit 31 is electrically connected inside the construction module 3 through the medium, and the construction module 3 is electrically connected with the evaluation module 4, the setting module 5 and the feedback module 6 through the medium.
In this embodiment, the control terminal 1 controls the acquisition module 2 to acquire the network parameters acquired by the acquisition module 2 and run in real time by the computer connection router, the construction module 3 synchronously receives the network parameters acquired by the acquisition module 2, applies the network parameters to construct a dynamic trend chart of the network parameters, the evaluation module 4 runs at the rear to receive the dynamic trend chart of the network parameters constructed by the construction module 3, evaluates the network security based on the dynamic trend chart of the network parameters, the setting module 5 receives the network security evaluated by the evaluation module 4, sets a network security evaluation threshold, compares the network security evaluation threshold with the received network security evaluation result to determine whether the current network is secure, and finally obtains the network security determination result in the setting module 5 through the feedback module 6 to output the network security determination result.
The sub-modules arranged at the lower level of the acquisition module 2 provide necessary operation logic support for the operation of the acquisition module 2, store network parameters acquired by the acquisition module 2 and provide necessary data support for the operation of subsequent modules in the system.
Example 2: in the implementation level, on the basis of embodiment 1, this embodiment further specifically describes a network security monitoring system based on computer hardware in embodiment 1 with reference to fig. 1:
the storage unit 22 is in operation stage, and synchronously sets a network rate distinguishing storage interval, and the storage unit 22 distinguishes and stores each network parameter stored inside based on the network rate distinguishing interval;
the network rate set in the storage unit 22 is not less than three groups of storage intervals, the storage unit 22 stores the network parameters stored in the storage unit, and calculates the storage network parameters of each storage interval in real time, and the maximum group of the duty ratios is recorded as the network security expression score in the calculated duty ratios relative to the duty ratio of the total amount of the network parameters stored in the storage unit 22.
Through the setting, the definition of the logic and meaning of the score of the network security embodiment is limited, and necessary data support is provided for the operation of subsequent modules in the system.
As shown in fig. 1, in the operation stage of the construction module 3, network parameters are acquired in the storage unit 22, and the construction of a dynamic trend chart of the network parameters is completed by the network rate in the acquired network parameters;
the building module 3 operates to receive the latest stored network parameters in the storage unit 22 in real time, and apply the received network parameters to perform state alternation on the dynamic trend graph of the network parameters built in the building module 3.
By the arrangement, the state alternation logic of the dynamic trend graph of the network parameters is provided.
As shown in fig. 1, an operation period is set in the feedback module 6, the feedback module 6 feeds back the network security determination result obtained by the operation of the setting module 5 in real time based on the operation period, and when the feedback module 6 acquires that the network security determination result in the setting module 5 is unsafe, the feedback module immediately feeds back the network security determination result;
when the feedback module 6 operates to feed back the network security judgment result, synchronous feedback is performed on the network parameter dynamic trend graph of the network security judgment result source.
Through the arrangement, the operation logic of the feedback module 6 is further limited, so that the network security judgment result and the network parameter dynamic trend chart which are output by the operation of the feedback module 6 are output together, and more comprehensive data is provided for a system end user so as to monitor the network in real time.
In summary, in the above embodiment, the system can collect network parameters generated by the operation of the router connected with the computer in the operation process, and further construct a dynamic trend chart of network parameters according to the collected network parameters, and analyze the network security according to the stability of the dynamic trend chart of network parameters, so that the network security analysis result output by the system operation is more accurate and reliable; in the running process of the system, the dynamic trend graph of the network parameters can be changed in real time through logic setting, so that the accuracy of the result of the network security analysis during the running of the system is improved, and meanwhile, the acquired network parameters are stored, so that the subsequent re-reading of the network parameters by a system end user is facilitated, and more convenient and comprehensive network security monitoring conditions are brought to the system end user.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A computer hardware-based network security monitoring system, comprising:
the control terminal (1) is a main control end of the system and is used for sending out an execution command;
the acquisition module (2) is used for acquiring real-time operation network parameters of the computer connection router;
the construction module (3) is used for receiving the network parameters acquired in the acquisition module (2) and constructing a network parameter dynamic trend graph by applying the network parameters;
the evaluation module (4) is used for receiving the dynamic trend graph of the network parameters constructed in the construction module (3) and evaluating the network security based on the dynamic trend graph of the network parameters;
the setting module (5) is used for receiving the network security evaluated in the evaluation module (4), setting a network security evaluation threshold value, comparing the network security evaluation threshold value with the received network security evaluation result, and judging whether the current network is safe or not;
the feedback module (6) is used for acquiring the network security judgment result in the setting module (5) and outputting the network security judgment result;
the network security judgment result output target in the feedback module (6) is a control terminal (1), and a system end user reads the network security judgment result in the control terminal (1).
2. The network security monitoring system based on computer hardware according to claim 1, wherein the acquisition module (2) is provided with a sub-module at a lower level, comprising:
the monitoring unit (21) is used for detecting the running state of the computer and capturing the connection request of the computer network in real time;
the storage unit (22) is used for receiving the network parameters which are operated in real time by the router after the computer acquired by the acquisition module (2) is connected with the router, and storing the network parameters operated in real time by the router;
the router is connected with the computer after confirming the network connection request, and provides network signals to the computer in real time, and the router runs network parameters in real time including: network frequency band, network rate, network protocol.
3. The network security monitoring system based on computer hardware according to claim 2, wherein the storage unit (22) is configured with a network rate division storage section in synchronization during the operation phase, and the storage unit (22) performs division storage on each network parameter stored internally based on the network rate division section;
the storage unit (22) stores network parameters stored in the storage unit (22) in real time, and calculates the network parameters stored in each storage unit, wherein the ratio of the total network parameters stored in the storage unit (22) is calculated according to the ratio of the total network parameters, and the largest group of ratio is recorded as a network security expression score.
4. The network security monitoring system based on computer hardware according to claim 1, wherein the construction module (3) acquires network parameters in the storage unit (22) in the operation stage, and the network rate in the acquired network parameters completes the construction of the dynamic trend graph of the network parameters;
the construction module (3) operates to receive the latest stored network parameters in the storage unit (22) in real time, and applies the received network parameters to perform state alternation on the network parameter dynamic trend graph constructed in the construction module (3).
5. A network safety monitoring system based on computer hardware according to claim 1, characterized in that the building module (3) is internally provided with sub-modules comprising:
an analysis unit (31) for reading the dynamic trend graph of the network parameters and analyzing the stability of the dynamic trend graph of the network parameters;
the stability of the dynamic trend graph of the network parameters is calculated by the following formula:
；
wherein:stability of the dynamic trend graph for the network parameters; />A set of network rates embodied in a dynamic trend graph of network parameters; />A value of network rate 1; />Target contrast value for network rate; />A specified value for the network rate; />Is->Including the total amount of network rate;
wherein,the smaller the value of (2) is, the more stable the dynamic trend graph of the network parameters is, and on the contrary, the less stable the dynamic trend graph of the network parameters is, the +.>∈/>。
6. The system of claim 5, wherein the stability of the dynamic trend graph of network parameters is calculated based on the state-changing synchronization of the dynamic trend graph of network parameters, and the stability of the dynamic trend graph of network parameters is calculated by the change logic of the formula:
；
；
and so on.
7. The computer hardware-based network security monitoring system of claim 1, wherein the network security assessment logic in the assessment module (4) is represented as:
；
wherein:is a network security value; />The score is embodied for network security; />The total number of state changes of the dynamic trend graph of the network parameters is changed; />Stability of the network parameter dynamic trend graph when the state of the first network parameter dynamic trend graph is changed; />Is the network parameter dynamicStatus-changing total amount of status trend graph; />The number of network users; />The network connection time; />Is the network complexity.
8. The computer hardware-based network security monitoring system of claim 7, wherein the network complexity is expressed as:
；
wherein:a number of network links included in the network; />The total length of all network links in the network; />Initial scores for network complexity.
9. The network security monitoring system based on computer hardware according to claim 1, wherein an operation period is set in the feedback module (6), the feedback module (6) feeds back a network security decision result obtained by the operation of the setting module (5) in real time based on the operation period, and the feedback module (6) feeds back the network security decision result immediately when the network security decision result obtained by the setting module (5) is unsafe;
and when the feedback module (6) runs the feedback network security judgment result, synchronously feeding back the dynamic trend graph of the network parameter of the source of the network security judgment result.
10. The network safety monitoring system based on the computer hardware according to claim 1, wherein the control terminal (1) is electrically connected with the acquisition module (2) through a medium, the lower stage of the acquisition module (2) is electrically connected with the monitoring unit (21) and the storage unit (22) through the medium, the acquisition module (2) is electrically connected with the construction module (3) through the medium, the construction module (3) is electrically connected with the storage unit (22) through the medium, the analysis unit (31) is electrically connected inside the construction module (3) through the medium, and the construction module (3) is electrically connected with the evaluation module (4), the setting module (5) and the feedback module (6) through the medium.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311303006.1A CN117040937A (en) | 2023-10-10 | 2023-10-10 | Network safety monitoring system based on computer hardware |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311303006.1A CN117040937A (en) | 2023-10-10 | 2023-10-10 | Network safety monitoring system based on computer hardware |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117040937A true CN117040937A (en) | 2023-11-10 |
Family
ID=88626749
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311303006.1A Pending CN117040937A (en) | 2023-10-10 | 2023-10-10 | Network safety monitoring system based on computer hardware |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117040937A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116184915A (en) * | 2023-04-24 | 2023-05-30 | 长通智能(深圳)有限公司 | Method and system for monitoring running state of industrial Internet equipment |
| CN116707973A (en) * | 2023-07-05 | 2023-09-05 | 王一琁 | Security situation assessment method and device, electronic equipment and storage medium |
| CN116708208A (en) * | 2023-08-07 | 2023-09-05 | 山东慧贝行信息技术有限公司 | Network data transmission situation prediction method based on machine learning |
| CN116736758A (en) * | 2023-05-19 | 2023-09-12 | 河南鑫安利安全科技股份有限公司 | Dynamic monitoring and early warning system based on safety production standardization |
| CN116846565A (en) * | 2022-02-14 | 2023-10-03 | 郑州轻工业大学 | SAA-SSA-BPNN-based network security situation assessment method |
-
2023
- 2023-10-10 CN CN202311303006.1A patent/CN117040937A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116846565A (en) * | 2022-02-14 | 2023-10-03 | 郑州轻工业大学 | SAA-SSA-BPNN-based network security situation assessment method |
| CN116184915A (en) * | 2023-04-24 | 2023-05-30 | 长通智能(深圳)有限公司 | Method and system for monitoring running state of industrial Internet equipment |
| CN116736758A (en) * | 2023-05-19 | 2023-09-12 | 河南鑫安利安全科技股份有限公司 | Dynamic monitoring and early warning system based on safety production standardization |
| CN116707973A (en) * | 2023-07-05 | 2023-09-05 | 王一琁 | Security situation assessment method and device, electronic equipment and storage medium |
| CN116708208A (en) * | 2023-08-07 | 2023-09-05 | 山东慧贝行信息技术有限公司 | Network data transmission situation prediction method based on machine learning |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113961434A (en) | Method and system for monitoring abnormal behaviors of distributed block chain system users | |
| CN109474494A (en) | Equipment detection method, device, server and storage medium | |
| CN116070206B (en) | Abnormal behavior detection method, system, electronic equipment and storage medium | |
| CN110932899A (en) | Intelligent fault compression research method and system applying AI | |
| CN112532614A (en) | Safety monitoring method and system for power grid terminal | |
| KR102469664B1 (en) | Anomaly detection method and system | |
| CN117220920A (en) | Firewall policy management method based on artificial intelligence | |
| CN113645305A (en) | Method and system for determining transmission node of data of Internet of things | |
| CN117290719B (en) | Inspection management method and device based on data analysis and storage medium | |
| CN117040937A (en) | Network safety monitoring system based on computer hardware | |
| CN113625681A (en) | CAN bus abnormality detection method, system and storage medium | |
| CN117194171A (en) | Heterogeneous cloud resource panoramic anomaly detection system | |
| CN112149731A (en) | Power system fault classification method and system based on ID3 algorithm | |
| CN116795449A (en) | Computer real-time remote management system and method | |
| CN115514620A (en) | Anomaly detection method and cloud network platform | |
| CN109062801B (en) | Automatic conversion system for software interface | |
| CN112905370A (en) | Topological graph generation method, anomaly detection method, device, equipment and storage medium | |
| KR101621959B1 (en) | Apparatus for extracting and analyzing log pattern and method thereof | |
| CN114362972B (en) | Botnet hybrid detection method and system based on flow abstract and graph sampling | |
| CN111615021B (en) | Method, equipment and storage medium for acquiring logic topology information of ODN (optical distribution network) | |
| CN110488772B (en) | DCS centralized monitoring method and device and centralized monitoring terminal | |
| CN115544202A (en) | Alarm processing method, device and storage medium | |
| CN114205855A (en) | Feeder automation service network anomaly detection method facing 5G slices | |
| CN111385162A (en) | Network detection method and device, computer equipment and storage medium | |
| CN117409816B (en) | Equipment fault detection method and system based on sound signals |
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 |