CN115175174A - Method for realizing probe equipment management and control system based on Internet of things platform - Google Patents

Method for realizing probe equipment management and control system based on Internet of things platform Download PDF

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Publication number
CN115175174A
CN115175174A CN202210768916.6A CN202210768916A CN115175174A CN 115175174 A CN115175174 A CN 115175174A CN 202210768916 A CN202210768916 A CN 202210768916A CN 115175174 A CN115175174 A CN 115175174A
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Prior art keywords
data
probe
module
internet
establishing
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马玥
谭航
鲍全松
范亮凯
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Jiangsu Future Networks Innovation Institute
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9536—Search customisation based on social or collaborative filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9538—Presentation of query results
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1425—Traffic logging, e.g. anomaly detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/009—Security arrangements; Authentication; Protecting privacy or anonymity specially adapted for networks, e.g. wireless sensor networks, ad-hoc networks, RFID networks or cloud networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/12—Detection or prevention of fraud
    • H04W12/121—Wireless intrusion detection systems [WIDS]; Wireless intrusion prevention systems [WIPS]
    • H04W12/122—Counter-measures against attacks; Protection against rogue devices

Abstract

The invention discloses a method for realizing a probe equipment management and control system based on an Internet of things platform, which comprises the following steps: s1, establishing a data acquisition module, and acquiring mass probe data through the data acquisition module; s2, establishing a data transmission module, and carrying out network transmission on mass probe data through the data transmission module; s3, establishing a data access module; s4, establishing a data analysis and display module; s5, establishing a data receiving and storing module; s6, establishing a safety monitoring traceability module; and S7, establishing an alarm module. The invention can effectively collect the probe data through the established data collection module, and simultaneously filters the data which does not accord with the rules, thereby ensuring the accuracy of the probe data collection, and simultaneously, the invention can improve the data transmission efficiency and simplify the data transmission process through the established data transmission module to carry out network transmission on mass probe data, thereby ensuring the efficiency and the safety of the data transmission.

Description

Method for realizing probe equipment management and control system based on Internet of things platform
Technical Field
The invention belongs to the technical field of probe equipment management and control, and particularly relates to a method for realizing a probe equipment management and control system based on an Internet of things platform.
Background
The Wifi probe device is a probe frame based on an IEEE 802.11 protocol, and can actively identify and acquire characteristic parameters of personal mobile devices such as smart phones, routers, pads and notebook computers without sensing, wherein the characteristic parameters include information data such as MAC addresses, wifi network names, time, wifi signal intensity, wifi signal channels and longitude and latitude. Through collision, correlation analysis and research and judgment on the data, the tracing of the identity of the special user and the accurate depiction of the behavior track can be realized, the situation development condition can be found, known and mastered in time, and tracking, positioning, management and control and the like can be performed on key objects, so that powerful guarantee is provided for law enforcement departments to manage the internet surfing behavior of the specific user and maintain the social security and stability.
The existing method for realizing the probe equipment management and control system based on the Internet of things platform has the following problems: the probe data acquisition efficiency is low, data which do not accord with rules cannot be filtered, so that the acquisition accuracy is not enough, meanwhile, the efficiency and the safety of data transmission are relatively poor, and in addition, the safety of the data is not high, so that a method for realizing a probe equipment management and control system based on an internet of things platform is provided.
Disclosure of Invention
The invention aims to provide a method for realizing a probe equipment control system based on an Internet of things platform, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a method for realizing a probe equipment management and control system based on an Internet of things platform comprises the following steps:
s1, establishing a data acquisition module, and acquiring mass probe data through the data acquisition module;
s2, establishing a data transmission module, and carrying out network transmission on mass probe data through the data transmission module;
s3, establishing a data access module, and performing distributed access, distributed storage, memory type analysis and calculation and distributed push service on mass probe data through the data access module;
s4, establishing a data analysis and display module, and performing statistical analysis and result display on data through the data analysis and display module;
s5, establishing a data receiving and storing module, wherein the data receiving and storing module is used for providing hardware resources for memory type analysis and calculation, and performing distributed receiving and distributed storage on mass probe data through the data receiving and storing module;
s6, establishing a safety monitoring traceability module, and tracing the probe data through the safety monitoring traceability module to increase the data safety risk control capability;
and S7, establishing an alarm module, wherein the alarm module is used for detecting the network security of the Internet of things platform, and alarming for data abnormity through the alarm module so as to ensure the network security of the Internet of things platform and the security of data.
Preferably, the data acquisition module includes data acquisition unit, memory cell and processing unit, the data acquisition unit is used for gathering the equipment information data in the effective area through the WIFI probe, memory cell is used for transmitting the equipment information data who gathers to backstage server and storage, processing unit is used for filtering the MAC address that does not conform to the rule.
Preferably, the method for acquiring the mass probe data by the data acquisition module comprises the following steps:
s101, acquiring equipment information data in an effective area by using a WIFI probe through a data acquisition unit;
s102, transmitting the acquired equipment information data to a background server through a storage unit and storing the data;
and S103, filtering the MAC addresses which do not accord with the rules through the processing unit.
Preferably, when the data acquisition unit acquires the device information data, a data fluctuation degree δ exists, and the data fluctuation degree δ satisfies the following formula:
Figure BDA0003723175660000031
wherein i is the number of acquisitions, ranging from 1 to n, x i Is the data sampled at the i-th time,
Figure BDA0003723175660000032
is a sampling mean value, delta is more than or equal to 1% and less than or equal to 10%, and ceil is an upward rounding function.
Preferably, the data transmission module includes a receiving unit, an identifying unit, an obtaining unit and a sending unit, the receiving unit is configured to receive data to be transmitted, and the identifying unit is configured to identify an identifier type of an orientation identifier carried by the data to be transmitted; the acquisition unit is used for acquiring target positioning information corresponding to the data to be transmitted by using the orientation strategy corresponding to the identification type; and the sending unit is used for sending the data to be transmitted to a target processing end corresponding to the target positioning information for processing.
Preferably, the transmission method of the data transmission module includes the following steps:
s201, receiving data to be transmitted through a receiving unit;
s202, identifying the identification type of the directional identification carried by the data to be transmitted through an identification unit;
s203, acquiring target positioning information corresponding to the data to be transmitted by using the directional strategy corresponding to the identification type through an acquisition unit;
and S204, sending the data to be transmitted to a target processing end corresponding to the target positioning information for processing through a sending unit.
Preferably, the data transmission module calculates its own operating state value by using the following formula:
Figure BDA0003723175660000033
wherein, V represents an operation state value, bandwidth represents an occupancy rate of a network bandwidth, delay represents a network delay rate, CPU represents a CPU occupancy rate, memory represents a memory occupancy rate, and w1, w2, w3, and w4 represent a duty ratio of the influence of the bandwidth, the delay, the CPU, and the memory on the operation condition, respectively.
Preferably, the specific steps of tracing the probe data by the safety monitoring tracing module include:
s301, constructing a probe device for safety monitoring, tracing and controlling;
s302, integrating the probe equipment constructed in the S301 into probe equipment to be monitored to obtain probe data with safety monitoring traceability control;
s303, operating the probe data obtained in the step S302 in a safe operation mode, and starting real-time safety monitoring traceability control;
s304, reporting the safety monitoring and traceability control data in the S303 in real time, and carrying out safety monitoring and traceability control on the probe data;
and S305, processing and displaying the safety monitoring traceability control data acquired in the S304.
Preferably, the method for network defense by the alarm module includes: verifying the login information of the user, wherein the specific steps of verifying the login information of the user are as follows:
s401: acquiring the speed of inputting a password by a user, and marking the speed when the user inputs the password as Vm;
s402: acquiring the time when the user inputs the password, and marking the time when the user inputs the password as Tm;
s403: acquiring the error rate of a user for inputting a password, and marking the error rate when the user inputs the password as Cm;
s404: obtaining the verification rate Am of the user identity through a formula:
Figure BDA0003723175660000041
wherein d1, d2 and d3 are preset proportionality coefficients, d1 > d2 > d3 and d1+ d2+ d3=1, α is an error correction factor, and α =5.698423;
s405: if the verification rate Am of the user identity is larger than or smaller than the set threshold range, the system judges that the user identity is not in accordance, generates a verification failure signal and transmits the verification failure signal to the alarm module.
Preferably, the alarm module obtains the safety factor Rx of the web page information through the following formula:
Figure BDA0003723175660000051
wherein Qx is the reporting frequency of the webpage information, wx is the closing frequency of the webpage information, ex is the clicking frequency of the webpage information, d4, d5 and d6 are preset proportionality coefficients, d4 > d5 > d6 and d4+ d5+ d6=1.
Compared with the prior art, the invention has the beneficial effects that:
(1) The invention can effectively collect the probe data through the established data collection module, and simultaneously filters the data which does not accord with the rules, thereby ensuring the accuracy of the probe data collection.
(2) According to the invention, by establishing the safety monitoring traceability module, probe data can be traced, and the data safety risk control capability is increased; meanwhile, the network security of the Internet of things platform can be detected through the established alarm module, and an alarm is given to data abnormity, so that the network security of the Internet of things platform and the security of the data are guaranteed.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a block diagram of the data acquisition module of the present invention;
fig. 3 is a block diagram of a data transmission module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: a method for realizing a probe equipment management and control system based on an Internet of things platform comprises the following steps:
s1, establishing a data acquisition module, and acquiring mass probe data through the data acquisition module;
s2, establishing a data transmission module, and carrying out network transmission on mass probe data through the data transmission module;
s3, establishing a data access module, and performing distributed access, distributed storage, memory type analysis and calculation and distributed pushing service on mass probe data through the data access module;
s4, establishing a data analysis and display module, and performing statistical analysis and result display on data through the data analysis and display module;
s5, establishing a data receiving and storing module, wherein the data receiving and storing module is used for providing hardware resources for memory type analysis and calculation, and performing distributed receiving and distributed storage on mass probe data through the data receiving and storing module;
s6, establishing a safety monitoring traceability module, and tracing the probe data through the safety monitoring traceability module to increase the data safety risk control capability;
and S7, establishing an alarm module, wherein the alarm module is used for detecting the network security of the Internet of things platform, and alarming for data abnormity through the alarm module so as to ensure the network security of the Internet of things platform and the security of data.
In this embodiment, preferably, the data acquisition module includes data acquisition unit, memory cell and processing unit, the data acquisition unit is used for gathering the equipment information data in the effective area through the WIFI probe, the memory cell is used for transmitting the equipment information data who gathers to backend server and storage, processing unit is used for filtering the MAC address that does not accord with the rule.
In this embodiment, preferably, the method for acquiring the mass probe data by the data acquisition module includes the following steps:
s101, acquiring equipment information data in an effective area by using a WIFI probe through a data acquisition unit;
s102, transmitting the acquired equipment information data to a background server through a storage unit and storing the equipment information data;
and S103, filtering the MAC addresses which do not accord with the rules through the processing unit.
In this embodiment, preferably, when the data acquisition unit acquires the device information data, a data fluctuation degree δ exists, where the data fluctuation degree δ is shown in the following formula:
Figure BDA0003723175660000071
wherein i is the number of acquisitions, ranging from 1 to n, x i Is the data sampled at the i-th time,
Figure BDA0003723175660000072
is a sampling mean value, delta is more than or equal to 1% and less than or equal to 10%, and ceil is an upward rounding function.
In this embodiment, preferably, the data transmission module includes a receiving unit, an identifying unit, an obtaining unit, and a sending unit, where the receiving unit is configured to receive data to be transmitted, and the identifying unit is configured to identify an identifier type of an orientation identifier carried by the data to be transmitted; the acquisition unit is used for acquiring target positioning information corresponding to the data to be transmitted by using the orientation strategy corresponding to the identification type; and the sending unit is used for sending the data to be transmitted to a target processing end corresponding to the target positioning information for processing.
In this embodiment, preferably, the transmission method of the data transmission module includes the following steps:
s201, receiving data to be transmitted through a receiving unit;
s202, identifying the identification type of the directional identification carried by the data to be transmitted through an identification unit;
s203, acquiring target positioning information corresponding to the data to be transmitted by using the directional strategy corresponding to the identification type through an acquisition unit;
and S204, sending the data to be transmitted to a target processing end corresponding to the target positioning information for processing through a sending unit.
In this embodiment, preferably, the data transmission module calculates the running state value thereof by using the following formula:
Figure BDA0003723175660000081
wherein, V represents an operation state value, bandwidth represents an occupancy rate of a network bandwidth, delay represents a network delay rate, CPU represents a CPU occupancy rate, memory represents a memory occupancy rate, and w1, w2, w3, and w4 represent a duty ratio of the influence of the bandwidth, the delay, the CPU, and the memory on the operation condition, respectively.
In this embodiment, preferably, the specific steps of tracing the probe data by the safety monitoring tracing module include:
s301, constructing a probe device for safety monitoring, tracing and controlling;
s302, integrating the probe equipment constructed in the S301 into probe equipment to be monitored to obtain probe data with safety monitoring traceability control;
s303, operating the probe data obtained in the step S302 in a safe operation mode, and starting real-time safety monitoring traceability control;
s304, reporting the safety monitoring and traceability control data in the S303 in real time, and carrying out safety monitoring and traceability control on the probe data;
and S305, processing and displaying the safety monitoring traceability control data acquired in the S304.
In this embodiment, preferably, the method for performing network protection by the alarm module includes: the method comprises the following steps of verifying login information of a user, wherein the specific steps of verifying the login information of the user are as follows:
s401: acquiring the speed of inputting the password by the user, and marking the speed when the user inputs the password as Vm;
s402: acquiring the time of inputting the password by the user, and marking the time when the user inputs the password as Tm;
s403: acquiring the error rate of the password input by the user, and marking the error rate when the user inputs the password as Cm;
s404: obtaining the verification rate Am of the user identity through a formula:
Figure BDA0003723175660000082
wherein d1, d2 and d3 are preset proportionality coefficients, d1 > d2 > d3 and d1+ d2+ d3=1, α is an error correction factor, and α =5.698423;
s405: and if the verification rate Am of the user identity is larger than or smaller than the set threshold range, the system judges that the user identity is not qualified, generates a verification failure signal and transmits the verification failure signal to the alarm module.
In this embodiment, preferably, the safety factor Rx of the web page information is obtained in the alarm module through the following formula:
Figure BDA0003723175660000091
wherein Qx is the reporting frequency of the webpage information, wx is the closing frequency of the webpage information, ex is the clicking frequency of the webpage information, d4, d5 and d6 are preset proportionality coefficients, d4 > d5 > d6 and d4+ d5+ d6=1.
The working principle and the using process of the invention are as follows: the probe data can be effectively acquired through the established data acquisition module, and meanwhile, data which do not accord with the rules are filtered, so that the accuracy of the probe data acquisition is ensured; by establishing the safety monitoring traceability module, the probe data can be traced, and the data safety risk control capability is increased; meanwhile, the network security of the Internet of things platform can be detected through the established alarm module, and the alarm is given to data abnormity, so that the network security of the Internet of things platform and the security of the data are guaranteed.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A method for realizing a probe equipment management and control system based on an Internet of things platform is characterized by comprising the following steps: the method comprises the following steps:
s1, establishing a data acquisition module, and acquiring mass probe data through the data acquisition module;
s2, establishing a data transmission module, and carrying out network transmission on mass probe data through the data transmission module;
s3, establishing a data access module, and performing distributed access, distributed storage, memory type analysis and calculation and distributed pushing service on mass probe data through the data access module;
s4, establishing a data analysis and display module, and performing statistical analysis and result display on data through the data analysis and display module;
s5, establishing a data receiving and storing module, wherein the data receiving and storing module is used for providing hardware resources for memory type analysis and calculation, and performing distributed receiving and distributed storage on mass probe data through the data receiving and storing module;
s6, establishing a safety monitoring traceability module, and tracing the probe data through the safety monitoring traceability module to increase the data safety risk control capability;
and S7, establishing an alarm module, wherein the alarm module is used for detecting the network security of the Internet of things platform, and alarming for data abnormity through the alarm module so as to ensure the network security of the Internet of things platform and the security of data.
2. The method for realizing the probe equipment management and control system based on the platform of the internet of things according to claim 1, wherein the method comprises the following steps: the data acquisition module comprises a data acquisition unit, a storage unit and a processing unit, the data acquisition unit is used for acquiring equipment information data in an effective area through the WIFI probe, the storage unit is used for transmitting the acquired equipment information data to the background server and storing the acquired equipment information data, and the processing unit is used for filtering MAC addresses which do not accord with rules.
3. The method for realizing the probe equipment management and control system based on the platform of the internet of things according to claim 2, characterized in that: the method for acquiring the mass probe data by the data acquisition module comprises the following steps:
s101, acquiring equipment information data in an effective area by using a WIFI probe through a data acquisition unit;
s102, transmitting the acquired equipment information data to a background server through a storage unit and storing the equipment information data;
s103, filtering the MAC addresses which do not accord with the rules through the processing unit.
4. The method for realizing the probe equipment management and control system based on the platform of the internet of things according to claim 3, characterized in that: when the data acquisition unit acquires the equipment information data, a data fluctuation degree delta exists, and the data fluctuation degree delta accords with the following formula:
Figure FDA0003723175650000021
wherein i is the number of acquisitions, ranging from 1 to n, x i Is the data sampled at the i-th time,
Figure FDA0003723175650000022
is a sampling mean value, delta is more than or equal to 1% and less than or equal to 10%, and ceil is an upward rounding function.
5. The method for realizing the probe equipment management and control system based on the platform of the internet of things according to claim 1, wherein the method comprises the following steps: the data transmission module comprises a receiving unit, an identification unit, an acquisition unit and a sending unit, wherein the receiving unit is used for receiving data to be transmitted, and the identification unit is used for identifying the identification type of the directional identification carried by the data to be transmitted; the acquisition unit is used for acquiring target positioning information corresponding to the data to be transmitted by using the orientation strategy corresponding to the identification type; and the sending unit is used for sending the data to be transmitted to a target processing end corresponding to the target positioning information for processing.
6. The method for realizing the probe equipment management and control system based on the platform of the internet of things according to claim 5, wherein the method comprises the following steps: the transmission method of the data transmission module comprises the following steps:
s201, receiving data to be transmitted through a receiving unit;
s202, identifying the identification type of the directional identification carried by the data to be transmitted through an identification unit;
s203, acquiring target positioning information corresponding to the data to be transmitted by using the directional strategy corresponding to the identification type through an acquisition unit;
and S204, sending the data to be transmitted to a target processing end corresponding to the target positioning information for processing through a sending unit.
7. The method for realizing the probe equipment management and control system based on the platform of the internet of things according to claim 6, wherein the method comprises the following steps: the data transmission module adopts the following formula to calculate the running state value of the data transmission module:
Figure FDA0003723175650000031
wherein, V represents an operation state value, bandwidth represents the occupancy rate of network bandwidth, delay represents network delay rate, CPU represents CPU occupancy rate, memory represents memory occupancy rate, and w1, w2, w3 and w4 respectively represent the occupancy rates of the influence of the bandwidth, the delay, the CPU and the memory on the operation state.
8. The method for realizing the probe equipment management and control system based on the platform of the internet of things according to claim 1, wherein the method comprises the following steps: the specific steps of tracing the probe data by the safety monitoring tracing module comprise:
s301, constructing a probe device for safety monitoring, tracing and controlling;
s302, integrating the probe equipment constructed in the S301 into probe equipment to be monitored to obtain probe data with safety monitoring tracing management and control;
s303, operating the probe data obtained in the step S302 in a safe operation mode, and starting real-time safety monitoring traceability control;
s304, reporting the safety monitoring and traceability control data in the S303 in real time, and carrying out safety monitoring and traceability control on the probe data;
and S305, processing and displaying the safety monitoring traceability control data acquired in the S304.
9. The method for realizing the probe equipment management and control system based on the platform of the internet of things according to claim 1, wherein the method comprises the following steps: the method for the alarm module to perform network protection comprises the following steps: verifying the login information of the user, wherein the specific steps of verifying the login information of the user are as follows:
s401: acquiring the speed of inputting the password by the user, and marking the speed when the user inputs the password as Vm;
s402: acquiring the time when the user inputs the password, and marking the time when the user inputs the password as Tm;
s403: acquiring the error rate of the password input by the user, and marking the error rate when the user inputs the password as Cm;
s404: obtaining the verification rate Am of the user identity through a formula:
Figure FDA0003723175650000041
wherein d1, d2 and d3 are preset proportionality coefficients, d1 > d2 > d3 and d1+ d2+ d3=1, α is an error correction factor, and α =5.698423;
s405: and if the verification rate Am of the user identity is larger than or smaller than the set threshold range, the system judges that the user identity is not qualified, generates a verification failure signal and transmits the verification failure signal to the alarm module.
10. The method for realizing the probe equipment management and control system based on the platform of the internet of things according to claim 9, characterized in that: the safety factor Rx of the webpage information is obtained in the alarm module through the following formula:
Figure FDA0003723175650000042
wherein Qx is the reporting frequency of the webpage information, wx is the closing frequency of the webpage information, ex is the clicking frequency of the webpage information, d4, d5 and d6 are preset proportionality coefficients, d4 > d5 > d6 and d4+ d5+ d6=1.
CN202210768916.6A 2022-06-30 2022-06-30 Method for realizing probe equipment management and control system based on Internet of things platform Pending CN115175174A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115664600A (en) * 2022-12-22 2023-01-31 广州市天奕信息技术股份有限公司 Data remote interaction detection and management system based on data analysis

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115664600A (en) * 2022-12-22 2023-01-31 广州市天奕信息技术股份有限公司 Data remote interaction detection and management system based on data analysis
CN115664600B (en) * 2022-12-22 2023-03-21 广州市天奕信息技术股份有限公司 Data remote interaction detection and management system based on data analysis

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