CN114268955B - Wireless communication network node signal cognition matching method and system - Google Patents
Wireless communication network node signal cognition matching method and system Download PDFInfo
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Abstract
The application relates to a wireless communication network node signal cognition matching method and system, which are used for carrying out unit division on a wireless coverage area according to a preset division rule of a wireless communication network to obtain a wireless network unit; acquiring wireless network signal data of each wireless network unit, acquiring wireless noise reduction data after data noise reduction processing, and transmitting the wireless noise reduction data 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 connecting user is matched with the allowed signal strength in the verification user list according to the verification user list of each wireless network unit. The wireless security unit type detection can be carried out on the wireless coverage area, the detection range can be reduced by the unit detection, the security of the connection with the matched node user can be accurately perceived, and the wireless attack can be rapidly detected.
Description
Technical Field
The disclosure relates to the technical field of security and attack prevention of wireless communication network nodes, 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 prior society, and can carry out local networking through a wireless coverage area, so that a mobile terminal or a PC (personal computer) terminal can be networked on line at any time and any place, and the wireless network is quite convenient. However, the current ubiquitous advanced mobile devices are particularly prone to mobile frequencies that are a threat target for data leakage and targeted attacks in enterprises.
The wireless network card and the like can bypass the security control and are connected to the host of the target client through the expansion port to acquire information about business operation, clients, product information and the like. Thus, certain attacks are still brought to the security of the enterprise network.
Therefore, it is necessary to perform link detection on the network of the wireless coverage area, ensure safe use of the wireless coverage network, 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, 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 a wireless network unit;
s200, acquiring wireless network signal data of each wireless network unit, acquiring wireless noise reduction data after data noise reduction processing, and transmitting the wireless noise reduction data to a server;
s300, analyzing the wireless noise reduction data to obtain the addresses of the connected users in each wireless network unit and the matched signal strength;
s400, detecting whether the address of the connecting user is matched with the allowed signal strength in the verification user list according to the verification user list of each wireless network unit.
As an embodiment of the present application, optionally, in step S100, the performing unit division on the wireless coverage area according to the preset division rule of the wireless communication network to obtain a wireless network unit includes:
s101, acquiring a wireless network coverage area;
s102, carrying out 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 optional implementation manner of the present application, in step S200, the obtaining wireless network signal data of each wireless network unit, after performing data noise reduction processing, obtains wireless noise reduction data, and sends the wireless noise reduction 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 average value calculation to obtain the RSSI average value of each wireless network unit;
s204, the RSSI average value of each wireless network unit is sent to a server.
Optionally, in step S400, the determining, according to the authenticated user list of each wireless network unit, whether the connection user address matches the allowed signal strength in the authenticated user list includes:
s401, analyzing the addresses of the connection users in the wireless network units and the matched signal strength through a server;
s402, judging whether the address of the connecting user is matched with the matched wireless address in the verification user list according to the analysis result; and
s403, judging whether the RSSI signal value of the connection corresponding to the connection user address is in the signal strength allowed in the verification user list or not according to the analysis result;
s404, according to the judging results of the step S402 and the step S403, comprehensively judging whether the wireless network intensity corresponding to the connection user address in each wireless network unit is in the allowed signal intensity range, and if so, connecting the wireless network units safely.
As an optional implementation manner of the present application, in step S404, according to the determination result of step S402 and step S403, it is comprehensively determined whether the wireless network strength corresponding to the connection user address in each of the wireless network units is within the allowed signal strength range, if so, the connection is safe, including:
s4041, if the wireless network connection of the wireless network unit is judged to be unsafe, sending out a wireless connection terminal instruction;
s4042, receiving the wireless connection terminal instruction and cutting off the user connection of the wireless network unit;
s4043, detecting whether the address of the connection user matches the allowed signal strength in the list of the verification user according to the list of the verification users of each wireless network unit.
In another aspect of the present application, an apparatus for implementing the wireless communication network node signal cognitive matching method is provided, including:
a wireless unit dividing module: the method comprises the steps of carrying out unit division on a wireless coverage area according to a preset division rule of a wireless communication network to obtain a wireless network unit;
and the data noise reduction module is used for: the wireless network signal data processing module is used for obtaining wireless network signal data of each wireless network unit, obtaining wireless noise reduction data after data noise reduction processing and sending the wireless noise reduction data to the server;
and a data analysis module: the wireless noise reduction data are used for analyzing the wireless noise reduction data, and obtaining the addresses of the connected users in each wireless network unit and the matched signal strength;
and a wireless detection module: and the wireless network unit is used for detecting whether the address of the connecting user matches the allowed signal strength in the verification user list according to the verification user list of each wireless network unit.
As an embodiment of the present application, optionally, the wireless unit dividing module includes:
wireless sensing unit: the method is used for acquiring the coverage area of the wireless network;
the unit dividing module: the method comprises the steps of performing unit division on a wireless coverage area according to a preset division rule of a wireless communication network;
electronic marking unit: and the wireless network unit 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 embodiment of the present application, optionally, the data noise reduction module includes:
a code acquisition module: the unit identification codes are used for acquiring the wireless network units in real time;
and a code analysis module: the method comprises the steps of analyzing the unit identification codes to obtain a signal RSSI value set of each wireless network unit;
mean value noise reduction module: the RSSI signal processing method comprises the steps of performing data noise reduction on a signal RSSI value set, and performing average value calculation to obtain the RSSI average value of each wireless network unit;
and a sending module: and the RSSI average value of each wireless network unit is sent to a server.
As an embodiment of the present application, optionally, the wireless detection module includes:
and (3) a server: for analyzing the connection user addresses and the matched signal strengths in the respective said wireless network units;
an address judging module: the wireless address verification module is used for judging whether the address of the connecting user is matched with the matched wireless address in the verification user list according to the analysis result; and
the signal strength judging module is used for: the RSSI signal value is used for judging whether the RSSI signal value corresponding to the address of the connected user is in the signal strength allowed in the verification user list or not according to the analysis result;
and a safety inspection judging module: the method is used for 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, if yes, the connection is safe, and comprises the following steps: if the wireless network connection of the wireless network unit is judged to be unsafe, a wireless connection terminal instruction is sent out; receiving the wireless connection terminal instruction and cutting off the user connection of the wireless network unit; and detecting whether the address of the connecting user is matched with the allowed signal strength 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;
the processor is configured to implement the wireless communication network node signal cognitive matching method when executing the executable instructions.
The invention has the technical effects that:
according to the method, the wireless network unit is obtained by carrying out unit division on the wireless coverage area according to the preset division rule of the wireless communication network; acquiring wireless network signal data of each wireless network unit, acquiring wireless noise reduction data after data noise reduction processing, and transmitting the wireless noise reduction data 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 connecting user is matched with the allowed signal strength in the verification user list according to the verification user list of each wireless network unit. The wireless security unit type detection can be carried out on the wireless coverage area, the detection range can be reduced by the unit detection, the security of the connection with the matched node user can be accurately perceived, and the wireless attack can be rapidly detected.
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 present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic diagram of a wireless network detection implementation flow of the present invention;
fig. 2 is a schematic diagram showing the constitution of the device in embodiment 2 of the present invention.
Detailed Description
Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used 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.
In addition, numerous specific details are set forth in the following detailed description 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 well known to those skilled in the art have not been described in detail in order not to obscure the present disclosure.
Example 1
According to the wireless security unit type detection method and device, the wireless security unit type detection is carried out on the wireless coverage area, the detection range can be reduced through unit detection, the security of the user connection of the matching node can be accurately perceived, and wireless attacks can be rapidly detected.
As shown in fig. 1, in one aspect of the present application, a method for cognitive matching of wireless communication network node signals is provided, 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 a wireless network unit;
the wireless network has a certain coverage area, firstly, the wireless coverage area is divided into units, the preset division rule is adopted, and the division is carried out according to the size of commercial buildings or areas, and the wireless coverage area is set by self.
The electronic fence can be preferentially divided, the electronic fence can be arranged in a wireless area, and the electronic division area can be obtained on the terminal system, so that the electronic fence is convenient to divide and manually control.
S200, acquiring wireless network signal data of each wireless network unit, acquiring wireless noise reduction data after data noise reduction processing, and transmitting the wireless noise reduction data to a server;
after the area is divided, signal value acquisition equipment such as a signal sensor can be adopted to acquire wireless network signal data of each wireless network unit, and the signal data of points set according to the array positions in the wireless network units can be acquired from outside to inside in each wireless network unit. And carrying out noise reduction processing on some edge data 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 addresses of the connected users in each wireless network unit and the matched signal strength;
the server is configured with an analytical algorithm, signal strength value calculation and firewall security lists. Through server analysis, the address of the terminal of the connection user in each wireless network unit and the matched signal strength, namely the infinite signal strength of the link, can be obtained.
S400, detecting whether the address of the connecting user is matched with the allowed signal strength in the verification user list according to the verification user list of each wireless network unit.
The server configures a user address and a list of wireless coverage areas in advance, the user address and the list pass qualification verification, the verification user list can be verified by adopting official network data, the verification user list can obtain a signal strength use value allowed by a corresponding user through a wireless network, the allowed signal strength is a signal strength use range value set according to wireless application after the verification user list is established, such as a software development enterprise, and the wireless coverage area with signal strength can be set.
Firstly, verifying the name of a user linked with a wireless network, and judging whether the name is on a verification user list or not; and obtaining the signal intensity value of the user connected network, detecting whether the signal intensity of the connected user is within the signal intensity use range value set by the wireless network unit, and judging whether the signal intensity of the wireless network connected with the user terminal fluctuates and exceeds the set signal intensity use range value.
As an embodiment of the present application, optionally, in step S100, the performing unit division on the wireless coverage area according to the preset division rule of the wireless communication network to obtain a wireless network unit includes:
s101, acquiring a wireless network coverage area;
s102, carrying out 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 may be calculated from electronic fence calculations or area-fixed point signal sensors. After dividing the units, carrying out label processing on each unit to enable the wireless coverage area to be a label unit marked by the electronic label, obtaining the wireless unit electronic label, and configuring a unit identification code.
When judging the wireless security of each unit, each tag unit can be marked, so that a wireless attack area can be conveniently and quickly found, and the detection range is reduced. 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, wireless routing node information, and server connection information of different units may be acquired by acquiring and analyzing the unit identification code.
As an optional implementation manner of the present application, in step S200, the obtaining wireless network signal data of each wireless network unit, after performing data noise reduction processing, obtains wireless noise reduction data, and sends the wireless noise reduction 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 average value calculation to obtain the RSSI average value of each wireless network unit;
s204, the RSSI average value of each wireless network unit is sent to a server.
After the unit identification codes are acquired, a 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.
Optionally, in step S400, the determining, according to the authenticated user list of each wireless network unit, whether the connection user address matches the allowed signal strength in the authenticated user list includes:
s401, analyzing the addresses of the connection users in the wireless network units and the matched signal strength through a server;
s402, judging whether the address of the connecting user is matched with the matched wireless address in the verification user list according to the analysis result; and
s403, judging whether the RSSI signal value of the connection corresponding to the connection user address is in the signal strength allowed in the verification user list or not according to the analysis result;
s404, according to the judging results of the step S402 and the step S403, comprehensively judging whether the wireless network intensity corresponding to the connection user address in each wireless network unit is in the allowed signal intensity range, and if so, connecting the wireless network units safely.
See above for details.
As an optional implementation manner of the present application, in step S404, according to the determination result of step S402 and step S403, it is comprehensively determined whether the wireless network strength corresponding to the connection user address in each of the wireless network units is within the allowed signal strength range, if so, the connection is safe, including:
s4041, if the wireless network connection of the wireless network unit is judged to be unsafe, sending out a wireless connection terminal instruction;
s4042, receiving the wireless connection terminal instruction and cutting off the user connection of the wireless network unit;
s4043, detecting whether the address of the connection user matches the allowed signal strength in the list of the verification user according to the list of the verification users of each wireless network unit.
Therefore, the method and the device acquire the wireless network units by carrying out unit division on the wireless coverage area according to the preset division rule of the wireless communication network; acquiring wireless network signal data of each wireless network unit, acquiring wireless noise reduction data after data noise reduction processing, and transmitting the wireless noise reduction data 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 connecting user is matched with the allowed signal strength in the verification user list according to the verification user list of each wireless network unit. The wireless security unit type detection can be carried out on the wireless coverage area, the detection range can be reduced by the unit detection, the security of the connection with the matched node user can be accurately perceived, and the wireless attack can be rapidly detected.
It should be noted that, although the above region division manner is described as an example, those skilled in the art will 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, so 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 an apparatus to implement the flow of the embodiment of the signal cognitive matching method of each wireless communication network node of the foregoing 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, including:
a wireless unit dividing module: the method comprises the steps of carrying out unit division on a wireless coverage area according to a preset division rule of a wireless communication network to obtain a wireless network unit;
and the data noise reduction module is used for: the wireless network signal data processing module is used for obtaining wireless network signal data of each wireless network unit, obtaining wireless noise reduction data after data noise reduction processing and sending the wireless noise reduction data to the server;
and a data analysis module: the wireless noise reduction data are used for analyzing the wireless noise reduction data, and obtaining the addresses of the connected users in each wireless network unit and the matched signal strength;
and a wireless detection module: and the wireless network unit is used for detecting whether the address of the connecting user matches the allowed signal strength in the verification user list according to the verification user list of each wireless network unit.
As an embodiment of the present application, optionally, the wireless unit dividing module includes:
wireless sensing unit: the method is used for acquiring the coverage area of the wireless network;
the unit dividing module: the method comprises the steps of performing unit division on a wireless coverage area according to a preset division rule of a wireless communication network;
electronic marking unit: and the wireless network unit 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 embodiment of the present application, optionally, the data noise reduction module includes:
a code acquisition module: the unit identification codes are used for acquiring the wireless network units in real time;
and a code analysis module: the method comprises the steps of analyzing the unit identification codes to obtain a signal RSSI value set of each wireless network unit;
mean value noise reduction module: the RSSI signal processing method comprises the steps of performing data noise reduction on a signal RSSI value set, and performing average value calculation to obtain the RSSI average value of each wireless network unit;
and a sending module: and the RSSI average value of each wireless network unit is sent to a server.
As an embodiment of the present application, optionally, the wireless detection module includes:
and (3) a server: for analyzing the connection user addresses and the matched signal strengths in the respective said wireless network units;
an address judging module: the wireless address verification module is used for judging whether the address of the connecting user is matched with the matched wireless address in the verification user list according to the analysis result; and
the signal strength judging module is used for: the RSSI signal value is used for judging whether the RSSI signal value corresponding to the address of the connected user is in the signal strength allowed in the verification user list or not according to the analysis result;
and a safety inspection judging module: the method is used for 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, if yes, the connection is safe, and comprises the following steps: if the wireless network connection of the wireless network unit is judged to be unsafe, a wireless connection terminal instruction is sent out; receiving the wireless connection terminal instruction and cutting off the user connection of the wireless network unit; and detecting whether the address of the connecting user is matched with the allowed signal strength 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 the implementation of all or part of the above-described embodiments of the method may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the program may include the steps of the embodiments of the control methods described above when executed. The modules or steps of the invention described above may be implemented in a general-purpose computing device, they may be centralized in a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by a computing device, such that they may be stored in a memory device and executed by a computing device, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may 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 appreciated by those skilled in the art that implementing all or part of the above-described embodiment methods may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the program may include the embodiment flow of each control method as described above when executed. The storage medium may be a magnetic disk, an optical disc, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), a flash memory (flash memory), a hard disk (HDD), or a Solid State Drive (SSD); 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 apparatus.
In another aspect of the present application, an electronic device is further provided, including:
a processor;
a memory for storing processor-executable instructions;
the processor is configured to implement the wireless communication network node signal cognitive matching method when executing the executable instructions.
Embodiments of the present disclosure provide for an electronic device that includes a processor and a memory for storing processor-executable instructions. The processor is configured to implement any one of the above-described wireless communication network node signal cognitive matching methods when executing the executable instructions.
Here, it should be noted that the number of processors may be one or more. Meanwhile, in the traceability system of the embodiment of the disclosure, an input device and an output device may be further included. The processor, the memory, the input device, and the output device may be connected by a bus, or may be connected by other means, which is not specifically limited herein.
The memory is used as a computer readable storage medium of a wireless communication network node signal cognition matching method, and can be used for storing software programs, computer executable programs and various modules, such as: the embodiment of the disclosure relates to a program or a module corresponding to a wireless communication network node signal cognitive 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 of the device/terminal/server and function control. The output means may comprise a display device such as a display screen.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (9)
1. The wireless communication network node signal cognition matching method is characterized by comprising the following steps of:
s100, performing unit division on a wireless coverage area according to a preset division rule of a wireless communication network to obtain a wireless network unit;
s200, acquiring wireless network signal data of each wireless network unit, acquiring wireless noise reduction data after data noise reduction processing, and transmitting the wireless noise reduction data to a server;
s300, analyzing the wireless noise reduction data to obtain the addresses of the connected users in each wireless network unit and the matched signal strength;
s400, detecting whether the address of the connecting user is matched with the allowed signal strength in the verification user list according to the verification user list of each wireless network unit;
in step S400, the determining, according to the authenticated user lists of the wireless network units, whether the connection user address matches the allowed signal strength in the authenticated user list includes:
s401, analyzing the addresses of the connection users in the wireless network units and the matched signal strength through a server;
s402, judging whether the address of the connecting user is matched with the matched wireless address in the verification user list according to the analysis result;
s403, judging whether the RSSI signal value of the connection corresponding to the connection user address is in the signal strength allowed in the verification user list or not according to the analysis result;
s404, according to the judging results of the step S402 and the step S403, comprehensively judging whether the wireless network intensity corresponding to the connection user address in each wireless network unit is in the allowed signal intensity range, and if so, connecting the wireless network units safely.
2. The method for cognitive matching of wireless communication network node signals according to claim 1, wherein in step S100, the unit division is performed on the wireless coverage area according to the preset division rule of the wireless communication network, so as to obtain a wireless network unit, which includes:
s101, acquiring a wireless network coverage area;
s102, carrying out 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 of claim 2, wherein in step S200, the obtaining the wireless network signal data of each wireless network unit, obtaining the wireless noise reduction data after the data noise reduction processing, and sending the wireless noise reduction 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 average value calculation to obtain the RSSI average value of each wireless network unit;
s204, the RSSI average value of each wireless network unit is sent to a server.
4. The method of claim 1, wherein in step S404, according to the determination results of step S402 and step S403, it is comprehensively determined whether the wireless network strength corresponding to the connection user address in each of the wireless network units is within the allowed signal strength range, if yes, the connection is safe, and the method comprises:
s4041, if the wireless network connection of the wireless network unit is judged to be unsafe, sending out a wireless connection terminal instruction;
s4042, receiving the wireless connection terminal instruction and cutting off the user connection of the wireless network unit;
s4043, detecting whether the address of the connection user matches the allowed signal strength in the list of the verification user according to the list of the verification users of each wireless network unit.
5. An apparatus for implementing the wireless communication network node signal cognitive matching method of any one of claims 1-4, comprising:
a wireless unit dividing module: the method comprises the steps of carrying out unit division on a wireless coverage area according to a preset division rule of a wireless communication network to obtain a wireless network unit;
and the data noise reduction module is used for: the wireless network signal data processing module is used for obtaining wireless network signal data of each wireless network unit, obtaining wireless noise reduction data after data noise reduction processing and sending the wireless noise reduction data to the server;
and a data analysis module: the wireless noise reduction data are used for analyzing the wireless noise reduction data, and obtaining the addresses of the connected users in each wireless network unit and the matched signal strength;
and a wireless detection module: and the wireless network unit is used for detecting whether the address of the connecting user matches the allowed signal strength in the verification user list according to the verification user list of each wireless network unit.
6. The apparatus of claim 5, wherein the wireless unit partitioning module comprises:
wireless sensing unit: the method is used for acquiring the coverage area of the wireless network;
the unit dividing module: the method comprises the steps of performing unit division on a wireless coverage area according to a preset division rule of a wireless communication network;
electronic marking unit: and the wireless network unit is used for carrying out electronic tag marking on the divided wireless network units, obtaining wireless unit electronic tags and configuring unit identification codes.
7. The apparatus of claim 6, wherein the data noise reduction module comprises:
a code acquisition module: the unit identification codes are used for acquiring the wireless network units in real time;
and a code analysis module: the method comprises the steps of analyzing the unit identification codes to obtain a signal RSSI value set of each wireless network unit;
mean value noise reduction module: the RSSI signal processing method comprises the steps of performing data noise reduction on a signal RSSI value set, and performing average value calculation to obtain the RSSI average value of each wireless network unit;
and a sending module: and the RSSI average value of each wireless network unit is sent to a server.
8. The apparatus of claim 7, wherein the wireless detection module comprises:
and (3) a server: for analyzing the connection user addresses and the matched signal strengths in the respective said wireless network units;
an address judging module: the wireless address verification module is used for judging whether the address of the connecting user is matched with the matched wireless address in the verification user list according to the analysis result; and
the signal strength judging module is used for: the RSSI signal value is used for judging whether the RSSI signal value corresponding to the address of the connected user is in the signal strength allowed in the verification user list or not according to the analysis result;
and a safety inspection judging module: the method is used for 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, if yes, the connection is safe, and comprises the following steps: if the wireless network connection of the wireless network unit is judged to be unsafe, a wireless connection terminal instruction is sent out; receiving the wireless connection terminal instruction and cutting off the user connection of the wireless network unit; and detecting whether the address of the connecting user is matched with the allowed signal strength in the verification user list according to the verification user list of each wireless network unit.
9. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement a wireless communication network node signal cognitive matching method of any of claims 1 to 4 when executing the executable instructions.
Priority Applications (1)
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
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 |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007300572A (en) * | 2006-05-08 | 2007-11-15 | Hitachi Ltd | Sensor network system, and sensor network position specifying program |
KR101440834B1 (en) * | 2010-07-05 | 2014-09-18 | 에스케이텔레콤 주식회사 | Method And Apparatus for Updating 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 |
KR101384103B1 (en) * | 2012-04-20 | 2014-04-10 | 주식회사에어플러그 | 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 accessing the wireless network |
CN103731865A (en) * | 2012-10-11 | 2014-04-16 | 中兴通讯股份有限公司 | Wireless network coverage blind zone statistical method, mobile terminal and system |
US9946883B2 (en) * | 2013-05-22 | 2018-04-17 | Qualcomm Incorporated | Methods and apparatuses for protecting positioning related information |
CN106162549A (en) * | 2015-05-19 | 2016-11-23 | 中兴通讯股份有限公司 | The processing method and processing device of access network |
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 |
CN106899978B (en) * | 2017-03-16 | 2020-09-11 | 杭州安恒信息技术股份有限公司 | Wireless network attack positioning method |
CN111343674B (en) * | 2018-12-18 | 2022-05-31 | 美的集团股份有限公司 | Multi-frequency band switching method and device of wireless network |
US11758221B2 (en) * | 2018-12-31 | 2023-09-12 | Lg Electronics Inc. | Wireless communication connection system including mobile terminal and electronic device to perform wireless communication connection through mobile terminal |
CN110062405B (en) * | 2019-05-06 | 2021-09-14 | Oppo广东移动通信有限公司 | Solution for WiFi channel interference and related product |
CN111027906B (en) * | 2019-12-05 | 2023-12-05 | 北京京东振世信息技术有限公司 | Distribution order determining method, distribution order determining device, storage medium and terminal equipment |
-
2021
- 2021-12-23 CN CN202111588778.5A patent/CN114268955B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
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 |
Non-Patent Citations (1)
Title |
---|
基于云安全的高级计量体系恶意软件检测方法;苏盛;李志强;谷科;石东源;钱斌;;电力***自动化(05);全文 * |
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