CN114268955A - Cognitive matching method and system for wireless communication network node signals - Google Patents
Cognitive matching method and system for wireless communication network node signals Download PDFInfo
- Publication number
- CN114268955A CN114268955A CN202111588778.5A CN202111588778A CN114268955A CN 114268955 A CN114268955 A CN 114268955A CN 202111588778 A CN202111588778 A CN 202111588778A CN 114268955 A CN114268955 A CN 114268955A
- Authority
- CN
- China
- Prior art keywords
- wireless
- wireless network
- unit
- address
- network unit
- 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.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The application relates to a cognitive matching method and a cognitive matching system for a wireless communication network node signal, wherein a wireless coverage area is subjected to unit division according to a preset division rule of a wireless communication network to obtain a wireless network unit; wireless network signal data of each wireless network unit is obtained, wireless noise reduction data are obtained after data noise reduction processing, and the wireless noise reduction data are sent to a server; analyzing the wireless noise reduction data to obtain the addresses of the connected users in each wireless network unit and the matched signal strength; and detecting whether the address of the connected user is matched with the signal intensity allowed in the verification user list or not according to the verification user list of each wireless network unit. The wireless security unit type detection can be carried out on the area covered by the wireless network, the detection range can be narrowed through the unit detection, the connection security between the unit detection and the matched node user can be accurately recognized, and the wireless attack can be rapidly checked.
Description
Technical Field
The disclosure relates to the technical field of wireless communication network node security attack prevention, in particular to a wireless communication network node signal cognition matching method and system.
Background
The wireless network is a common networking mode in the existing society, and local networking can be performed through a wireless coverage range, so that a mobile terminal or a PC (personal computer) terminal can be networked and on-line anywhere at any time, and the method is very convenient. However, the ubiquitous advanced mobile devices are particularly easy to make the mobile frequency a threat target for data leakage and directional attack in enterprises.
Because the wireless network card can bypass the safety control and is connected to the host computer of the target client through the expansion port, the information about business operation, client and product information and the like can be obtained. Therefore, certain attacks are still brought to the security of the enterprise network.
Therefore, it is necessary to perform link detection on a network in a wireless coverage area, so as to ensure safe use of the wireless coverage area and improve detection efficiency.
Disclosure of Invention
In order to solve the above problems, the present application provides a method and a system for cognitive matching of wireless communication network node signals.
In one aspect of the present application, a method for cognitive matching of wireless communication network node signals is provided, which includes the following steps:
s100, performing unit division on a wireless coverage area according to a preset division rule of a wireless communication network to obtain wireless network units;
s200, acquiring wireless network signal data of each wireless network unit, performing data noise reduction processing to obtain wireless noise reduction data, and sending the wireless noise reduction data to a server;
s300, analyzing the wireless noise reduction data to obtain the address of a connecting user in each wireless network unit and the matched signal strength;
s400, detecting whether the address of the connecting user is matched with the signal intensity allowed in the verification user list or not according to the verification user list of each wireless network unit.
As an implementable embodiment of the present application, optionally, in step S100, the performing unit division on the wireless coverage area according to a preset division rule of the wireless communication network to obtain a wireless network unit includes:
s101, acquiring a wireless network coverage area;
s102, performing unit division on a wireless coverage area according to a preset division rule of a wireless communication network;
s103, carrying out electronic tag marking on the divided wireless network units to obtain wireless unit electronic tags, and configuring unit identification codes.
As an implementable embodiment of the present application, optionally, in step S200, the acquiring wireless network signal data of each wireless network unit, performing data denoising processing, and obtaining wireless denoising data and sending the wireless denoising data to a server includes:
s201, acquiring unit identification codes of the wireless network units in real time;
s202, analyzing the unit identification codes to obtain a signal RSSI value set of each wireless network unit;
s203, carrying out data noise reduction processing on the signal RSSI value set, and carrying out mean value calculation to obtain the RSSI mean value of each wireless network unit;
and S204, sending the RSSI mean value of each wireless network unit to a server.
As an implementable embodiment of the present application, optionally, in step S400, the determining, according to the verified user list of each wireless network unit, whether the connected user address matches the signal strength allowed in the verified user list includes:
s401, analyzing the address of the connected user in each wireless network unit and the matched signal strength through a server;
s402, judging whether the address of the connecting user is matched with the wireless address matched in the verification user list or not according to the analysis result; and
s403, judging whether the RSSI signal value correspondingly connected with the user address is in the signal strength allowed in the verification user list or not according to the analysis result;
s404, comprehensively judging whether the wireless network strength corresponding to the connection user address in each wireless network unit is in the allowed signal strength range according to the judgment results of the step S402 and the step S403, and if so, ensuring the connection safety.
As an implementable embodiment of the present application, optionally, in step S404, the comprehensively determining whether the wireless network strength corresponding to the connected user address in each of the wireless network units is within the allowed signal strength range according to the determination results of step S402 and step S403, if so, the connection is safe, including:
s4041, if the wireless network connection of the wireless network unit is judged to be unsafe, sending a wireless connection terminal instruction;
s4042, receiving the wireless connection terminal instruction, and cutting off the user connection of the wireless network unit;
s4043, continuously detecting whether the address of the connecting user matches the signal strength allowed in the list of the verified users according to the list of the verified users of each wireless network unit.
In another aspect of the present application, a device for implementing the method for cognitive matching of wireless communication network node signals is provided, including:
a wireless unit partitioning module: the wireless communication network unit partitioning system is used for partitioning a wireless coverage area according to a preset partitioning rule of a wireless communication network to obtain wireless network units;
a data noise reduction module: the wireless network noise reduction device is used for acquiring wireless network signal data of each wireless network unit, and acquiring wireless noise reduction data after data noise reduction processing and sending the wireless noise reduction data to a server;
a data analysis module: the wireless noise reduction data is analyzed to obtain the address of the connected user in each wireless network unit and the matched signal strength;
the wireless detection module: and the wireless network unit is used for detecting whether the address of the connecting user is matched with the signal strength allowed in the verification user list or not according to the verification user list of each wireless network unit.
As an implementable aspect of the present application, optionally, the radio unit dividing module includes:
the wireless sensing unit: the method comprises the steps of acquiring the coverage area of a wireless network;
a unit dividing module: the wireless communication network unit division method comprises the steps of dividing a wireless coverage area into units according to a preset division rule of a wireless communication network;
an electronic mark unit: the wireless unit electronic tag is used for carrying out electronic tag marking on the divided wireless network units, obtaining wireless unit electronic tags and configuring unit identification codes.
As an implementable aspect of the present application, optionally, the data denoising module includes:
a code acquisition module: a unit identification code for acquiring each of the wireless network units in real time;
a code analysis module: the wireless network unit is used for analyzing the unit identification code to obtain a signal RSSI value set of each wireless network unit;
and a mean noise reduction module: the RSSI value set is used for carrying out data noise reduction processing on the signal RSSI value set, and carrying out mean value calculation to obtain the RSSI mean value of each wireless network unit;
a sending module: and the RSSI mean value of each wireless network unit is sent to a server.
As an implementable embodiment of the present application, optionally, the wireless detection module includes:
a server: the wireless network unit is used for analyzing the addresses of the connected users in each wireless network unit and the matched signal strength;
an address judgment module: the wireless address matching module is used for judging whether the address of the connecting user matches the wireless address matched in the verification user list or not according to the analysis result; and
the signal strength judging module: the RSSI signal value is used for judging whether the RSSI signal value correspondingly connected with the address of the connecting user is in the signal strength allowed by the list of the verification users or not according to the analysis result;
safety inspection judging module: the method for comprehensively judging whether the wireless network strength corresponding to the connected user address in each wireless network unit is within the allowed signal strength range according to the judgment results of the step S402 and the step S403, and if so, the connection is safe, and the method includes: if the wireless network connection of the wireless network unit is judged to be unsafe, sending a wireless connection terminal instruction; receiving the wireless connection terminal instruction and cutting off the user connection of the wireless network unit; and continuously detecting whether the address of the connecting user is matched with the signal intensity allowed in the verification user list according to the verification user list of each wireless network unit.
In another aspect of the present application, an electronic device is further provided, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute the executable instructions to implement the method for cognitive matching of wireless communication network node signals.
The invention has the technical effects that:
the method comprises the steps that a wireless coverage area is subjected to unit division according to a preset division rule of a wireless communication network, and wireless network units are obtained; wireless network signal data of each wireless network unit is obtained, wireless noise reduction data are obtained after data noise reduction processing, and the wireless noise reduction data are sent to a server; analyzing the wireless noise reduction data to obtain the addresses of the connected users in each wireless network unit and the matched signal strength; and detecting whether the address of the connected user is matched with the signal intensity allowed in the verification user list or not according to the verification user list of each wireless network unit. The wireless security unit type detection can be carried out on the area covered by the wireless network, the detection range can be narrowed through the unit detection, the connection security between the unit detection and the matched node user can be accurately recognized, and the wireless attack can be rapidly checked.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic flow chart illustrating an implementation of wireless network detection according to the present invention;
FIG. 2 is a schematic diagram showing the constitution of an apparatus in embodiment 2 of the present invention.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Example 1
According to the wireless security unit type detection method and device, wireless security unit type detection is carried out on the wireless coverage area, the detection range can be narrowed through unit detection, the security of connection between the accurate cognition and the matched node user can be achieved, and wireless attack can be rapidly checked.
As shown in fig. 1, in one aspect, the present application provides a method for cognitive matching of wireless communication network node signals, including the following steps:
s100, performing unit division on a wireless coverage area according to a preset division rule of a wireless communication network to obtain wireless network units;
the wireless network has a certain coverage area, and the wireless coverage area is divided into units firstly, and the preset division rule is set by the wireless network according to the size of a commercial building or an area.
The electronic fence can be preferentially adopted for division, the electronic fence can be arranged in a wireless area, an electronic division area can be obtained on a terminal system, and division and manual control are facilitated.
S200, acquiring wireless network signal data of each wireless network unit, performing data noise reduction processing to obtain wireless noise reduction data, and sending the wireless noise reduction data to a server;
after the area is divided, a signal value acquisition device such as a signal sensor can be adopted to acquire wireless network signal data of each wireless network unit, and signal data of points set according to the array position in each wireless network unit can be acquired from outside to inside. And carrying out noise reduction processing on the data of some edges to obtain wireless noise reduction data, and sending the wireless noise reduction data to a server.
S300, analyzing the wireless noise reduction data to obtain the address of a connecting user in each wireless network unit and the matched signal strength;
the server is configured with a parsing algorithm, signal strength value calculation and a firewall security list. By server resolution, the address of the terminal of the connecting user in each of the wireless network units and the matched signal strength, i.e. the infinite signal strength of the link, can be obtained.
S400, detecting whether the address of the connecting user is matched with the signal intensity allowed in the verification user list or not according to the verification user list of each wireless network unit.
The server configures a user address and a list of a wireless coverage range in advance, the user address and the list are qualified, the list of the verified users can be verified by official network data, the list of the verified users can obtain a signal intensity use value allowed by the corresponding user through a wireless network, and the allowed signal intensity is a signal intensity use range value set according to wireless application after the list of the verified users is established, such as a wireless coverage range of the signal intensity can be set by a software development enterprise.
Firstly, verifying whether the name of a user linked with a wireless network is on a verification user list or not; then, the signal intensity value of the user connecting network is obtained again, the signal intensity of the connecting user is detected whether the signal intensity is in the signal intensity using range value set by the wireless network unit, and whether the signal intensity of the wireless network connecting the user terminal fluctuates and exceeds the set signal intensity using range value is judged.
As an implementable embodiment of the present application, optionally, in step S100, the performing unit division on the wireless coverage area according to a preset division rule of the wireless communication network to obtain a wireless network unit includes:
s101, acquiring a wireless network coverage area;
s102, performing unit division on a wireless coverage area according to a preset division rule of a wireless communication network;
s103, carrying out electronic tag marking on the divided wireless network units to obtain wireless unit electronic tags, and configuring unit identification codes.
The wireless network coverage area can be calculated according to electronic fence calculation or area fixed point signal sensors. After the cells are divided, label processing is carried out on each cell, so that the wireless coverage area becomes a label cell marked by the electronic label, the electronic label of the wireless cell is obtained, and a cell identification code is configured.
When the wireless security of each unit is judged, each tag unit can be marked, so that a wireless attack area can be found conveniently and rapidly, and the detection range is narrowed. The unit identification code may be configured to include wireless signal strength information, wireless routing node information, server connection information, and the like of the wireless area, and the wireless signal strength information, the wireless routing node information, and the server connection information of different units may be acquired by acquiring and analyzing the unit identification code.
As an implementable embodiment of the present application, optionally, in step S200, the acquiring wireless network signal data of each wireless network unit, performing data denoising processing, and obtaining wireless denoising data and sending the wireless denoising data to a server includes:
s201, acquiring unit identification codes of the wireless network units in real time;
s202, analyzing the unit identification codes to obtain a signal RSSI value set of each wireless network unit;
s203, carrying out data noise reduction processing on the signal RSSI value set, and carrying out mean value calculation to obtain the RSSI mean value of each wireless network unit;
and S204, sending the RSSI mean value of each wireless network unit to a server.
After the unit identification codes are acquired, the signal RSSI value set of each wireless network unit can be obtained, the RSSI mean value of each wireless network unit is obtained through noise reduction, and the data accuracy is improved.
And sending the RSSI mean value of each wireless network unit to a server.
As an implementable embodiment of the present application, optionally, in step S400, the determining, according to the verified user list of each wireless network unit, whether the connected user address matches the signal strength allowed in the verified user list includes:
s401, analyzing the address of the connected user in each wireless network unit and the matched signal strength through a server;
s402, judging whether the address of the connecting user is matched with the wireless address matched in the verification user list or not according to the analysis result; and
s403, judging whether the RSSI signal value correspondingly connected with the user address is in the signal strength allowed in the verification user list or not according to the analysis result;
s404, comprehensively judging whether the wireless network strength corresponding to the connection user address in each wireless network unit is in the allowed signal strength range according to the judgment results of the step S402 and the step S403, and if so, ensuring the connection safety.
See in particular the above description.
As an implementable embodiment of the present application, optionally, in step S404, the comprehensively determining whether the wireless network strength corresponding to the connected user address in each of the wireless network units is within the allowed signal strength range according to the determination results of step S402 and step S403, if so, the connection is safe, including:
s4041, if the wireless network connection of the wireless network unit is judged to be unsafe, sending a wireless connection terminal instruction;
s4042, receiving the wireless connection terminal instruction, and cutting off the user connection of the wireless network unit;
s4043, continuously detecting whether the address of the connecting user matches the signal strength allowed in the list of the verified users according to the list of the verified users of each wireless network unit.
Therefore, the wireless network unit is obtained by performing unit division on the wireless coverage area according to the preset division rule of the wireless communication network; wireless network signal data of each wireless network unit is obtained, wireless noise reduction data are obtained after data noise reduction processing, and the wireless noise reduction data are sent to a server; analyzing the wireless noise reduction data to obtain the addresses of the connected users in each wireless network unit and the matched signal strength; and detecting whether the address of the connected user is matched with the signal intensity allowed in the verification user list or not according to the verification user list of each wireless network unit. The wireless security unit type detection can be carried out on the area covered by the wireless network, the detection range can be narrowed through the unit detection, the connection security between the unit detection and the matched node user can be accurately recognized, and the wireless attack can be rapidly checked.
It should be noted that, although the above region division manner is described as an example, those skilled in the art can understand that the present disclosure should not be limited thereto. In fact, the user can flexibly set the wireless area division according to the actual application scene as long as the technical function of the application can be realized according to the technical method.
Example 2
Based on the implementation principle of embodiment 1, this embodiment proposes a device to implement the flow of the embodiment of the signal cognition matching method of each wireless communication network node in embodiment 1.
As shown in fig. 2, in another aspect of the present application, an apparatus for implementing the method for cognitive matching of wireless communication network node signals is provided, where the apparatus includes:
a wireless unit partitioning module: the wireless communication network unit partitioning system is used for partitioning a wireless coverage area according to a preset partitioning rule of a wireless communication network to obtain wireless network units;
a data noise reduction module: the wireless network noise reduction device is used for acquiring wireless network signal data of each wireless network unit, and acquiring wireless noise reduction data after data noise reduction processing and sending the wireless noise reduction data to a server;
a data analysis module: the wireless noise reduction data is analyzed to obtain the address of the connected user in each wireless network unit and the matched signal strength;
the wireless detection module: and the wireless network unit is used for detecting whether the address of the connecting user is matched with the signal strength allowed in the verification user list or not according to the verification user list of each wireless network unit.
As an implementable aspect of the present application, optionally, the radio unit dividing module includes:
the wireless sensing unit: the method comprises the steps of acquiring the coverage area of a wireless network;
a unit dividing module: the wireless communication network unit division method comprises the steps of dividing a wireless coverage area into units according to a preset division rule of a wireless communication network;
an electronic mark unit: the wireless unit electronic tag is used for carrying out electronic tag marking on the divided wireless network units, obtaining wireless unit electronic tags and configuring unit identification codes.
As an implementable aspect of the present application, optionally, the data denoising module includes:
a code acquisition module: a unit identification code for acquiring each of the wireless network units in real time;
a code analysis module: the wireless network unit is used for analyzing the unit identification code to obtain a signal RSSI value set of each wireless network unit;
and a mean noise reduction module: the RSSI value set is used for carrying out data noise reduction processing on the signal RSSI value set, and carrying out mean value calculation to obtain the RSSI mean value of each wireless network unit;
a sending module: and the RSSI mean value of each wireless network unit is sent to a server.
As an implementable embodiment of the present application, optionally, the wireless detection module includes:
a server: the wireless network unit is used for analyzing the addresses of the connected users in each wireless network unit and the matched signal strength;
an address judgment module: the wireless address matching module is used for judging whether the address of the connecting user matches the wireless address matched in the verification user list or not according to the analysis result; and
the signal strength judging module: the RSSI signal value is used for judging whether the RSSI signal value correspondingly connected with the address of the connecting user is in the signal strength allowed by the list of the verification users or not according to the analysis result;
safety inspection judging module: the method for comprehensively judging whether the wireless network strength corresponding to the connected user address in each wireless network unit is within the allowed signal strength range according to the judgment results of the step S402 and the step S403, and if so, the connection is safe, and the method includes: if the wireless network connection of the wireless network unit is judged to be unsafe, sending a wireless connection terminal instruction; receiving the wireless connection terminal instruction and cutting off the user connection of the wireless network unit; and continuously detecting whether the address of the connecting user is matched with the signal intensity allowed in the verification user list according to the verification user list of each wireless network unit.
It should be apparent to those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, and the program may be stored in a computer readable storage medium, and when executed, may include the processes of the embodiments of the control methods as described above. The modules or steps of the invention described above can be implemented by a general purpose computing device, they can be centralized on a single computing device or distributed over a network of multiple computing devices, and they can alternatively be implemented by program code executable by a computing device, so that they can be stored in a storage device and executed by a computing device, or they can be separately fabricated into various integrated circuit modules, or multiple modules or steps thereof can be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, and the program may be stored in a computer readable storage medium, and when executed, may include the processes of the embodiments of the control methods as described above. The storage medium may be a magnetic disk, an optical disk, a Read-only memory (ROM), a Random Access Memory (RAM), a flash memory (FlashMemory), a hard disk (hard disk drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Example 3
Still further, according to another aspect of the present disclosure, there is also provided an electronic device.
In another aspect of the present application, an electronic device is further provided, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute the executable instructions to implement the method for cognitive matching of wireless communication network node signals.
The disclosed embodiments provide an electronic device comprising a processor and a memory for storing processor-executable instructions. Wherein the processor is configured to execute the executable instructions to implement a method for cognitive matching of wireless communication network node signals as described in any one of the preceding paragraphs.
Here, it should be noted that the number of processors may be one or more. Meanwhile, the traceability system of the embodiment of the disclosure can further include an input device and an output device. The processor, the memory, the input device, and the output device may be connected by a bus, or may be connected by other means, and are not limited specifically herein.
The memory is used as a computer readable storage medium of the signal cognition matching method of the wireless communication network node, and can be used for storing a software program, a computer executable program and various modules, such as: the disclosed embodiment relates to a program or a module corresponding to a wireless communication network node signal cognition matching method. The processor executes various functional applications and data processing of the traceability system by running software programs or modules stored in the memory.
The input device may be used to receive an input number or signal. Wherein the signal may be a key signal generated in connection with user settings and function control of the device/terminal/server. The output means may comprise a display device such as a display screen.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A cognitive matching method for wireless communication network node signals is characterized by comprising the following steps:
s100, performing unit division on a wireless coverage area according to a preset division rule of a wireless communication network to obtain wireless network units;
s200, acquiring wireless network signal data of each wireless network unit, performing data noise reduction processing to obtain wireless noise reduction data, and sending the wireless noise reduction data to a server;
s300, analyzing the wireless noise reduction data to obtain the address of a connecting user in each wireless network unit and the matched signal strength;
s400, detecting whether the address of the connecting user is matched with the signal intensity allowed in the verification user list or not according to the verification user list of each wireless network unit.
2. The method according to claim 1, wherein in step S100, the performing unit division on the wireless coverage area according to a preset division rule of the wireless communication network to obtain a wireless network unit comprises:
s101, acquiring a wireless network coverage area;
s102, performing unit division on a wireless coverage area according to a preset division rule of a wireless communication network;
s103, carrying out electronic tag marking on the divided wireless network units to obtain wireless unit electronic tags, and configuring unit identification codes.
3. The method according to claim 2, wherein in step S200, the obtaining wireless network signal data of each wireless network unit, and performing data denoising processing to obtain wireless denoising data, and sending the wireless denoising data to a server comprises:
s201, acquiring unit identification codes of the wireless network units in real time;
s202, analyzing the unit identification codes to obtain a signal RSSI value set of each wireless network unit;
s203, carrying out data noise reduction processing on the signal RSSI value set, and carrying out mean value calculation to obtain the RSSI mean value of each wireless network unit;
and S204, sending the RSSI mean value of each wireless network unit to a server.
4. The method as claimed in any of claims 1 to 3, wherein in step S400, said determining whether the address of the connected user matches the signal strength allowed in the verified user list according to the verified user list of each of the wireless network units includes:
s401, analyzing the address of the connected user in each wireless network unit and the matched signal strength through a server;
s402, judging whether the address of the connecting user is matched with the wireless address matched in the verification user list or not according to the analysis result; and
s403, judging whether the RSSI signal value correspondingly connected with the user address is in the signal strength allowed in the verification user list or not according to the analysis result;
s404, comprehensively judging whether the wireless network strength corresponding to the connection user address in each wireless network unit is in the allowed signal strength range according to the judgment results of the step S402 and the step S403, and if so, ensuring the connection safety.
5. The method as claimed in claim 4, wherein in step S404, the step of comprehensively determining whether the wireless network strength corresponding to the connected user address in each of the wireless network units is within the allowed signal strength range according to the determination results in step S402 and step S403, and if so, the connection is safe, comprising:
s4041, if the wireless network connection of the wireless network unit is judged to be unsafe, sending a wireless connection terminal instruction;
s4042, receiving the wireless connection terminal instruction, and cutting off the user connection of the wireless network unit;
s4043, continuously detecting whether the address of the connecting user matches the signal strength allowed in the list of the verified users according to the list of the verified users of each wireless network unit.
6. An apparatus for implementing the wireless communication network node signal awareness matching method according to any one of claims 1-5, comprising:
a wireless unit partitioning module: the wireless communication network unit partitioning system is used for partitioning a wireless coverage area according to a preset partitioning rule of a wireless communication network to obtain wireless network units;
a data noise reduction module: the wireless network noise reduction device is used for acquiring wireless network signal data of each wireless network unit, and acquiring wireless noise reduction data after data noise reduction processing and sending the wireless noise reduction data to a server;
a data analysis module: the wireless noise reduction data is analyzed to obtain the address of the connected user in each wireless network unit and the matched signal strength;
the wireless detection module: and the wireless network unit is used for detecting whether the address of the connecting user is matched with the signal strength allowed in the verification user list or not according to the verification user list of each wireless network unit.
7. The apparatus of claim 6, wherein the radio partitioning module comprises:
the wireless sensing unit: the method comprises the steps of acquiring the coverage area of a wireless network;
a unit dividing module: the wireless communication network unit division method comprises the steps of dividing a wireless coverage area into units according to a preset division rule of a wireless communication network;
an electronic mark unit: the wireless unit electronic tag is used for carrying out electronic tag marking on the divided wireless network units, obtaining wireless unit electronic tags and configuring unit identification codes.
8. The apparatus of claim 6 or 7, wherein the data denoising module comprises:
a code acquisition module: a unit identification code for acquiring each of the wireless network units in real time;
a code analysis module: the wireless network unit is used for analyzing the unit identification code to obtain a signal RSSI value set of each wireless network unit;
and a mean noise reduction module: the RSSI value set is used for carrying out data noise reduction processing on the signal RSSI value set, and carrying out mean value calculation to obtain the RSSI mean value of each wireless network unit;
a sending module: and the RSSI mean value of each wireless network unit is sent to a server.
9. The apparatus of claim 8, wherein the wireless detection module comprises:
a server: the wireless network unit is used for analyzing the addresses of the connected users in each wireless network unit and the matched signal strength;
an address judgment module: the wireless address matching module is used for judging whether the address of the connecting user matches the wireless address matched in the verification user list or not according to the analysis result; and
the signal strength judging module: the RSSI signal value is used for judging whether the RSSI signal value correspondingly connected with the address of the connecting user is in the signal strength allowed by the list of the verification users or not according to the analysis result;
safety inspection judging module: the method for comprehensively judging whether the wireless network strength corresponding to the connected user address in each wireless network unit is within the allowed signal strength range according to the judgment results of the step S402 and the step S403, and if so, the connection is safe, and the method includes: if the wireless network connection of the wireless network unit is judged to be unsafe, sending a wireless connection terminal instruction; receiving the wireless connection terminal instruction and cutting off the user connection of the wireless network unit; and continuously detecting whether the address of the connecting user is matched with the signal intensity allowed in the verification user list according to the verification user list of each wireless network unit.
10. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute the executable instructions to implement a method of cognitive matching of wireless communication network nodes according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111588778.5A CN114268955B (en) | 2021-12-23 | 2021-12-23 | Wireless communication network node signal cognition matching method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111588778.5A CN114268955B (en) | 2021-12-23 | 2021-12-23 | Wireless communication network node signal cognition matching method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114268955A true CN114268955A (en) | 2022-04-01 |
| CN114268955B CN114268955B (en) | 2023-07-07 |
Family
ID=80829158
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111588778.5A Active CN114268955B (en) | 2021-12-23 | 2021-12-23 | Wireless communication network node signal cognition matching method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114268955B (en) |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070262863A1 (en) * | 2006-05-08 | 2007-11-15 | Toshiyuki Aritsuka | Sensor network system and sensor network position specifying method |
| US20120269095A1 (en) * | 2011-04-20 | 2012-10-25 | Nokia Siemens Networks Oy | Method and apparatus for providing a network search function |
| WO2012163180A1 (en) * | 2011-05-27 | 2012-12-06 | 北京百度网讯科技有限公司 | Information pushing method, server and system |
| CN103098506A (en) * | 2010-07-05 | 2013-05-08 | Sk电信有限公司 | Method and device for updating a database for wireless LAN based positioning |
| US20150110077A1 (en) * | 2012-04-20 | 2015-04-23 | Airplug Inc. | Method and apparatus for causing information related to mutual communication property between a terminal and access points of a wireless network to be used in connecting to the wireless network |
| US20150289145A1 (en) * | 2012-10-11 | 2015-10-08 | Zte Corporation | Method, mobile terminal and system for counting coverage blind spots in wireless network |
| CN105229991A (en) * | 2013-05-22 | 2016-01-06 | 高通股份有限公司 | For the protection of the method and apparatus of location related information |
| WO2016016432A2 (en) * | 2014-08-01 | 2016-02-04 | Abb Technology Ag | System and method for the dynamic assignment and operation of wireless networks in an automated plant |
| CN205726440U (en) * | 2016-03-31 | 2016-11-23 | 宁波大学 | A kind of detection equipment of low-consumption wireless LAN signal intensity |
| WO2016184380A1 (en) * | 2015-05-19 | 2016-11-24 | 中兴通讯股份有限公司 | Processing method and device for network access |
| CN106792561A (en) * | 2017-01-19 | 2017-05-31 | 上海斐讯数据通信技术有限公司 | A kind of wireless fingerprint positioning method and system |
| CN106899978A (en) * | 2017-03-16 | 2017-06-27 | 杭州安恒信息技术有限公司 | A kind of wireless network attack localization method |
| US10244345B2 (en) * | 2016-10-18 | 2019-03-26 | International Business Machines Corporation | Geographic location mapping using network signal strength |
| CN110062405A (en) * | 2019-05-06 | 2019-07-26 | Oppo广东移动通信有限公司 | The solution and Related product of WiFi channel disturbance |
| CN111027906A (en) * | 2019-12-05 | 2020-04-17 | 北京京东振世信息技术有限公司 | Distribution order determining method and device, storage medium and terminal equipment |
| CN111343674A (en) * | 2018-12-18 | 2020-06-26 | 美的集团股份有限公司 | Multi-frequency band switching method and device of wireless network |
| US20210385526A1 (en) * | 2018-12-31 | 2021-12-09 | Lg Electronics Inc. | Wireless communication connection system including mobile terminal and electronic device to perform wireless communication connection through mobile terminal |
-
2021
- 2021-12-23 CN CN202111588778.5A patent/CN114268955B/en active Active
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070262863A1 (en) * | 2006-05-08 | 2007-11-15 | Toshiyuki Aritsuka | Sensor network system and sensor network position specifying method |
| CN103098506A (en) * | 2010-07-05 | 2013-05-08 | Sk电信有限公司 | Method and device for updating a database for wireless LAN based positioning |
| US20120269095A1 (en) * | 2011-04-20 | 2012-10-25 | Nokia Siemens Networks Oy | Method and apparatus for providing a network search function |
| WO2012163180A1 (en) * | 2011-05-27 | 2012-12-06 | 北京百度网讯科技有限公司 | Information pushing method, server and system |
| US20150110077A1 (en) * | 2012-04-20 | 2015-04-23 | Airplug Inc. | Method and apparatus for causing information related to mutual communication property between a terminal and access points of a wireless network to be used in connecting to the wireless network |
| US20150289145A1 (en) * | 2012-10-11 | 2015-10-08 | Zte Corporation | Method, mobile terminal and system for counting coverage blind spots in wireless network |
| CN105229991A (en) * | 2013-05-22 | 2016-01-06 | 高通股份有限公司 | For the protection of the method and apparatus of location related information |
| WO2016016432A2 (en) * | 2014-08-01 | 2016-02-04 | Abb Technology Ag | System and method for the dynamic assignment and operation of wireless networks in an automated plant |
| WO2016184380A1 (en) * | 2015-05-19 | 2016-11-24 | 中兴通讯股份有限公司 | Processing method and device for network access |
| CN205726440U (en) * | 2016-03-31 | 2016-11-23 | 宁波大学 | A kind of detection equipment of low-consumption wireless LAN signal intensity |
| US10244345B2 (en) * | 2016-10-18 | 2019-03-26 | International Business Machines Corporation | Geographic location mapping using network signal strength |
| CN106792561A (en) * | 2017-01-19 | 2017-05-31 | 上海斐讯数据通信技术有限公司 | A kind of wireless fingerprint positioning method and system |
| CN106899978A (en) * | 2017-03-16 | 2017-06-27 | 杭州安恒信息技术有限公司 | A kind of wireless network attack localization method |
| CN111343674A (en) * | 2018-12-18 | 2020-06-26 | 美的集团股份有限公司 | Multi-frequency band switching method and device of wireless network |
| US20210385526A1 (en) * | 2018-12-31 | 2021-12-09 | Lg Electronics Inc. | Wireless communication connection system including mobile terminal and electronic device to perform wireless communication connection through mobile terminal |
| CN110062405A (en) * | 2019-05-06 | 2019-07-26 | Oppo广东移动通信有限公司 | The solution and Related product of WiFi channel disturbance |
| CN111027906A (en) * | 2019-12-05 | 2020-04-17 | 北京京东振世信息技术有限公司 | Distribution order determining method and device, storage medium and terminal equipment |
Non-Patent Citations (3)
| Title |
|---|
| MOHAMMADAMIN ATASHI ECT.: "Orientation-Matched Multiple Modeling for RSSI-based Indoor Localization via BLE Sensors", 《2020 28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)》 * |
| 秦国威;孙新柱;陈孟元;: "基于WIFI指纹定位的仿生SLAM研究", 智能系统学报, no. 03 * |
| 苏盛;李志强;谷科;石东源;钱斌;: "基于云安全的高级计量体系恶意软件检测方法", 电力系统自动化, no. 05 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114268955B (en) | 2023-07-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10660024B2 (en) | Wireless network access method and apparatus | |
| CN104506522A (en) | Method and device for scanning vulnerability | |
| CN106161342A (en) | The dynamic optimization of safety applications | |
| EP3276537A1 (en) | Communication device, control method, program, and front end | |
| CN109753425B (en) | Popup window processing method and device | |
| CN108353083A (en) | The system and method for algorithm (DGA) Malware is generated for detecting domains | |
| US20170220396A1 (en) | Fast and accurate identification of message-based api calls in application binaries | |
| CN105763505A (en) | Operation method and device based on user account | |
| CN107153605B (en) | Test sample generation method and device | |
| CN109818972B (en) | Information security management method and device for industrial control system and electronic equipment | |
| CN108958890A (en) | Container microscope testing method, apparatus and electronic equipment | |
| CN106657096B (en) | WEB vulnerability detection method, device and system | |
| CN110297764B (en) | Vulnerability test model training method and device | |
| CN109087089B (en) | Payment method, payment device and terminal equipment | |
| CN103473355A (en) | Method, device and system for sharing application | |
| CN113765850A (en) | Internet of things anomaly detection method and device, computing equipment and computer storage medium | |
| CN114268955B (en) | Wireless communication network node signal cognition matching method and system | |
| CN116015881B (en) | Penetration test method, device, equipment and storage medium | |
| CN105302715A (en) | Application user interface acquisition method and apparatus | |
| CN116248397A (en) | Vulnerability detection method and device, electronic equipment and readable storage medium | |
| EP2905941A1 (en) | Authentication processing system | |
| KR101836481B1 (en) | Apparatus and Method for Detecting Rogue AP | |
| CN114036314B (en) | Knowledge-graph-based permeation path identification method and system | |
| CN109714371B (en) | Industrial control network safety detection system | |
| CN105224880A (en) | information collecting method and device |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |