CN114500309A - Network application flow automatic configuration recognition system - Google Patents
Network application flow automatic configuration recognition system Download PDFInfo
- Publication number
- CN114500309A CN114500309A CN202210384005.3A CN202210384005A CN114500309A CN 114500309 A CN114500309 A CN 114500309A CN 202210384005 A CN202210384005 A CN 202210384005A CN 114500309 A CN114500309 A CN 114500309A
- Authority
- CN
- China
- Prior art keywords
- application
- flow
- protocol
- analysis
- mobile terminal
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/02—Capturing of monitoring data
- H04L43/028—Capturing of monitoring data by filtering
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/02—Capturing of monitoring data
- H04L43/026—Capturing of monitoring data using flow identification
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/18—Protocol analysers
Abstract
The invention provides a network application flow automatic configuration and identification system, which comprises an application deployment module, a flow filtering rule acquisition module and an application analysis module; the result generated by the application deployment module is used as a data source of the application analysis module, and the flow filtering rule acquisition module generates a flow filtering rule file required by the application analysis module; and the application analysis module analyzes the application by using the result generated by the application deployment module and the result generated by the flow filtering rule acquisition module to generate a final application protocol identification rule file. The invention has the beneficial effects that: according to the invention, by automatically downloading and analyzing the running application, the process of identifying the rule configuration by the network application protocol is automated and accurate, the efficiency of the rule configuration process is improved, the labor cost is saved, and the negligence and the deficiency of manual analysis are made up.
Description
Technical Field
The invention relates to a network application flow automatic configuration and identification system, and belongs to the technical field of network communication.
Background
With the rapid development of internet technology, network applications are more and more abundant, the number of applications existing in a network reaches tens of millions, various applications are endless, a large number of applications appear every day, and the accurate and timely identification of different applications from network traffic has important significance in protecting network security and application supervision.
At present, in the related fields of network security and internet data analysis, the flow of different applications is basically identified by adopting a manual collection and analysis application mode, but the increase of manpower cannot keep up with the increase speed of the application quantity, key applications and large-scale applications can only be covered in many times, and an antenna cannot extend to a large number of applications hidden in each corner of the internet.
In order to solve the problem, many manufacturers adopt a method of roughly identifying the application by identifying the traffic which cannot identify the specific application as an IP or a domain name, but the method cannot merge and integrate all traffic data of the same application and cannot intuitively display the identification name of the specific application; therefore, an automatic method is urgently needed to identify and configure the massive application traffic and apply the massive application traffic to a traffic identification system in time.
At present, the commonly adopted method for manually collecting, analyzing and configuring the network application identification rules is limited by manpower, and cannot cover application types with rapidly increased quantity, and the method for identifying the network traffic to the IP and the domain name cannot be converged to specific application, and the accuracy is not enough.
Disclosure of Invention
The invention provides an automatic configuration and identification system for network application traffic, and aims to provide a network application protocol identification rule capable of accurately identifying specific network application traffic from massive network traffic so as to achieve automation and precision of network application protocol identification configuration.
The technical solution of the invention is as follows: a network application flow automatic configuration recognition system comprises an application deployment module, a flow filtering rule acquisition module and an application analysis module; the result generated by the application deployment module is used as a data source of the application analysis module, and the flow filtering rule acquisition module generates a flow filtering rule file required by the application analysis module; and the application analysis module analyzes the application by using the result generated by the application deployment module and the result generated by the flow filtering rule acquisition module to generate a final application protocol identification rule file.
Further, the application deployment module is responsible for collecting applications to be analyzed from the network, and specifically includes the following steps:
1-1, configuring application market downloading parameters, constructing an application downloading request, and downloading an application installation package;
and 1-2, after downloading is finished, storing the application installation package into an analysis source folder.
Further, the application deployment module is responsible for collecting applications to be analyzed from the network, and specifically includes the following steps:
1-3, if the application which is not downloaded in the application market exists, directly storing the application which is not downloaded in the application market into the analysis source folder.
Further, the traffic filtering rule obtaining module performs packet capture analysis on a mobile terminal operating system for analyzing applications in advance, extracts IP and URL features from DNS, TCP, and HTTP, and uses the IP and URL features as reference data for filtering traffic in subsequent analysis.
Further, the traffic filtering rule obtaining module is responsible for generating a traffic filtering rule file, and traffic matching features to be filtered are stored in the traffic filtering rule file according to a domain name, an IP (Internet protocol) and a URL (uniform resource locator) and used for filtering non-application protocol traffic in application analysis.
Further, the storing of the traffic matching features to be filtered in the traffic filtering rule file according to the domain name, the IP, and the URL specifically includes the following steps:
2-1, starting a packet capturing process at a flow point where the mobile terminal generates flow, and capturing all messages generated by the mobile terminal;
2-2, remotely controlling the mobile terminal and restarting the mobile terminal;
2-3, analyzing a message generated in the operation of the mobile terminal in real time to distinguish a DNS protocol, a TCP protocol and an HTTP protocol;
2-4, extracting a domain name and an IP from a DNS protocol, and storing the domain name and the IP into a flow filtering rule file;
2-5, extracting a domain name, a URL (Uniform resource locator) and an IP (Internet protocol) from the HTTP, and storing the domain name, the URL and the IP into a flow filtering rule file;
2-6, extracting IP from the TCP protocol, if the SSL protocol is used, additionally extracting domain name information, and storing the domain name information into a flow filtering rule file;
and 2-7, in the running process of the mobile terminal, controlling the mobile terminal, and triggering the running of each application which is pre-built in the system to generate flow.
Further, the remote control mobile terminal, the restart mobile terminal, and particularly the restart mobile terminal, restart the mobile terminal by using the adb command to remotely control the mobile terminal.
Further, the application analysis module is responsible for performing static analysis and dynamic analysis on the application to generate an application protocol identification rule file corresponding to the specific application.
Further, the static analysis and the dynamic analysis of the application are performed to generate an application protocol identification rule file corresponding to a specific application, and the method specifically includes the following steps:
3-1, unpacking the applications, extracting an application name, a packet name and built-in domain name IP data of each application as protocol name characteristic information of subsequent application protocol flow identification;
3-2, using an adb command to install the application to the mobile terminal and control the operation of the application so that the application generates flow;
3-3, analyzing all captured flows, and extracting and summarizing HOST, URL and IP data;
and 3-4, according to a pre-prepared identification configuration file template, generating an application protocol identification rule file corresponding to a specific application from the HOST, the URL and the IP data extracted from the flow in the 3-3 steps and the application name and package name data extracted by application unpacking.
Further, the analyzing all captured flows, extracting and summarizing HOST, URL, and IP data, specifically includes: and filtering the self flow of the mobile terminal operating system according to the domain name, the IP and the URL stored in the flow filtering rule file generated by the flow filtering rule acquisition module, performing DNS (domain name system), HTTP (hyper text transport protocol) and HTTPS (hypertext transfer protocol) analysis on the residual flow, and extracting and summarizing HOST (HOST description language), URL (uniform resource locator) and IP (Internet protocol) data.
The invention has the beneficial effects that:
according to the invention, by automatically downloading and analyzing the running application, the process of identifying the rule configuration by the network application protocol is automated and accurate, the efficiency of the rule configuration process is improved, the labor cost is saved, and the negligence and the defect of manual analysis are made up.
Drawings
Fig. 1 is an overall schematic diagram of a network application traffic automatic configuration recognition system.
Fig. 2 is a schematic diagram of an operation flow of the application analysis module according to the present invention.
Detailed Description
A network application flow automatic configuration recognition system comprises an application deployment module, a flow filtering rule acquisition module and an application analysis module; the result generated by the application deployment module is used as a data source of the application analysis module, and the flow filtering rule acquisition module generates a flow filtering rule file required by the application analysis module; the application analysis module analyzes the application by using the result generated by the application deployment module and the flow filtering rule file generated by the flow filtering rule acquisition module to generate a final application protocol identification rule file.
The application deployment module, the flow filtering rule acquisition module and the application analysis module are independent in operation process and generate results which are mutually dependent, the results generated by the application deployment module are used as data sources of the application analysis module, the flow filtering rule acquisition module generates a flow filtering rule file required by the application analysis module, and the application analysis module analyzes the application by using the results generated by the other two modules to generate a final application protocol identification rule file.
The application deployment module is responsible for collecting applications needing analysis from a network, and specifically comprises the following steps:
1-1, configuring application market downloading parameters, constructing an application downloading request, and downloading an application installation package;
1-2, after downloading, storing the application installation package into an analysis source folder;
1-3, if the application which is not downloaded in the application market exists, directly storing the application which is not downloaded in the application market into the analysis source folder.
The flow filtering rule obtaining module carries out packet capturing analysis on a mobile terminal operating system used for analyzing application in advance, extracts IP and URL characteristics from DNS, TCP and HTTP and uses the IP and URL characteristics as reference data used for filtering flow in subsequent analysis.
The traffic filtering rule obtaining module is responsible for generating a traffic filtering rule file, and the traffic matching features to be filtered are stored in the traffic filtering rule file according to a domain name, an IP (Internet protocol) and a URL (uniform resource locator) and used for filtering non-application protocol traffic in application analysis, and the traffic filtering rule obtaining module specifically comprises the following steps:
2-1, starting a packet capturing process at a flow point where the mobile terminal generates flow, and capturing all messages generated by the mobile terminal;
2-2, remotely controlling the mobile terminal and restarting the mobile terminal; preferably using an adb command to remotely control the mobile terminal and restarting the mobile terminal;
2-3, analyzing the message generated in the operation of the mobile terminal in real time, and distinguishing a DNS protocol, a TCP protocol and an HTTP protocol;
2-4, extracting a domain name and an IP from a DNS protocol, and storing the domain name and the IP into a flow filtering rule file;
2-5, extracting a domain name, a URL (Uniform resource locator) and an IP (Internet protocol) from the HTTP, and storing the domain name, the URL and the IP into a flow filtering rule file;
2-6, extracting IP from the TCP protocol, if the SSL protocol is used, additionally extracting domain name information, and storing the domain name information into a flow filtering rule file;
and 2-7, in the running process of the mobile terminal, controlling the mobile terminal, and triggering the running of each application which is pre-built in the system to generate flow.
The application analysis module comprises static analysis and dynamic analysis, and specifically comprises the steps of sequentially performing the static analysis and the dynamic analysis on the applications in all analysis source folders according to the condition of a mobile terminal used for analyzing the applications, namely the application installation packages stored in the analysis source folders in the step 1-2 part of the application deployment module, and each application is independently analyzed until all the applications are analyzed or the analysis process is finished; and extracting an application identifier and flow characteristics for each application, and finally generating an application protocol identification rule file according to the analysis condition.
The application analysis module is responsible for performing static analysis and dynamic analysis on the application to generate an application protocol identification rule file corresponding to the specific application, and specifically comprises the following steps:
3-1, unpacking the applications, extracting an application name, a packet name and various built-in domain name IP data of each application as protocol name characteristic information of subsequent application protocol flow identification;
3-2, using an adb command to install the application to the mobile terminal and control the operation of the application so that the application generates flow;
3-3, analyzing all captured flows, acquiring a bearer protocol corresponding to each data flow, a service end IP address, a domain name in DNS and HTTPS protocols, and a URL in HTTP protocols, matching the extracted domain name, IP and URL according to the domain name, IP and URL stored in a filtering rule file generated by a flow filtering rule acquisition module, removing data matched with the data in the filtering rule file, namely filtering the flow of the mobile terminal operating system, and filtering the rest HOST, URL and IP data to be the data belonging to the application;
and 3-4, according to a pre-prepared identification configuration file template, generating an application protocol identification rule file corresponding to a specific application by using HOST, URL and IP data extracted from the flow in the 3-3 steps and data such as an application name and a package name extracted by application unpacking.
The dynamic analysis includes analyzing traffic and controlling applications.
Example 1
A network application flow automatic configuration recognition system is composed of an application deployment module, a flow filtering rule acquisition module and an application analysis module; the application deployment module, the flow filtering rule acquisition module and the application analysis module have independent operation processes and mutually dependent results.
The application deployment module is responsible for collecting the application needing analysis from the network, and comprises the following steps:
firstly, configuring application market downloading parameters, constructing an application downloading request, and downloading an application installation package;
and secondly, storing the application installation package into an analysis source folder after downloading.
The traffic filtering rule obtaining module is responsible for generating a traffic filtering rule file for filtering non-application protocol traffic in application analysis, and comprises the following steps:
firstly, starting a packet capture at a WiFi hotspot used by a mobile terminal, and capturing all messages generated by the mobile terminal;
secondly, remotely controlling the mobile terminal by using an adb command, and restarting the mobile terminal;
thirdly, analyzing messages generated in the operation of the mobile terminal, and distinguishing DNS, TCP and HTTP protocols;
fourthly, extracting a domain name and an IP from the DNS protocol, and storing the domain name and the IP into a flow filtering rule file;
fifthly, extracting a domain name, a URL (Uniform resource locator) and an IP (Internet protocol) from the HTTP and storing the domain name, the URL and the IP into a flow filtering rule file;
sixthly, extracting IP from the TCP, if the SSL is used, additionally extracting domain name related information and storing the domain name related information into a flow filtering rule file;
and seventhly, in the running process of the mobile terminal, the module simultaneously controls the mobile terminal to trigger the running of the application built in the system to generate the flow.
The application analysis module is responsible for performing static analysis and dynamic analysis on the application to generate a final application protocol identification rule file corresponding to the specific application, and comprises the following steps:
firstly, starting a packet capture at a WiFi hotspot used by a mobile terminal in advance, and capturing all messages generated by the mobile terminal;
secondly, unpacking the application in static analysis;
thirdly, extracting the application name and the package name of each application from the unpacked file;
fourthly, starting dynamic analysis on the application, and installing the application to the mobile terminal by using an adb command;
fifthly, controlling the mobile terminal by using a command to enable a target application to run and generate flow;
sixthly, filtering the flow according to a filtering rule, and filtering the flow of the mobile terminal system, wherein the filtering rule is generated by analyzing in advance by a flow filtering rule acquisition module;
seventhly, distinguishing the filtered flow according to a bearing protocol, and respectively analyzing DNS, HTTP and HTTPS protocols;
eighthly, extracting HOST, URL and IP data from the bearer protocol;
and ninthly, generating an application protocol identification rule file corresponding to the specific application according to the HOST, the URL and the IP data extracted from the flow and the application name, the packet name and other data extracted by the application unpacking.
The implementation process is automatically completed through the system, the system has the characteristics of high efficiency and accuracy, the efficiency of the identification rule configuration process is improved, and the labor cost is saved.
Claims (10)
1. A network application flow automatic configuration recognition system is characterized by comprising an application deployment module, a flow filtering rule acquisition module and an application analysis module; the result generated by the application deployment module is used as a data source of the application analysis module, and the flow filtering rule acquisition module generates a flow filtering rule file required by the application analysis module; and the application analysis module analyzes the application by using the result generated by the application deployment module and the result generated by the flow filtering rule acquisition module to generate a final application protocol identification rule file.
2. The system according to claim 1, wherein the application deployment module is responsible for collecting applications to be analyzed from the network, and specifically comprises the following steps:
1-1, configuring application market downloading parameters, constructing an application downloading request, and downloading an application installation package;
and 1-2, after downloading is finished, storing the application installation package into an analysis source folder.
3. The system according to claim 2, wherein the application deployment module is responsible for collecting applications to be analyzed from the network, and further comprising the following steps:
1-3, if the application which is not downloaded in the application market exists, directly storing the application which is not downloaded in the application market into the analysis source folder.
4. The system as claimed in claim 1, wherein the traffic filtering rule obtaining module performs packet capture analysis on the operating system of the mobile terminal for analyzing the application in advance, and extracts IP and URL features from DNS, TCP and HTTP as reference data for filtering traffic in subsequent analysis.
5. The system according to claim 1, wherein the traffic filtering rule obtaining module is responsible for generating a traffic filtering rule file, and the traffic matching features to be filtered are stored in the traffic filtering rule file according to a domain name, an IP, and a URL, so as to filter out non-application protocol traffic in the application analysis.
6. The system according to claim 5, wherein the traffic filtering rule file stores the traffic matching features to be filtered according to domain name, IP, URL, and specifically comprises the following steps:
2-1, starting a packet capturing process at a flow point where the mobile terminal generates flow, and capturing all messages generated by the mobile terminal;
2-2, remotely controlling the mobile terminal and restarting the mobile terminal;
2-3, analyzing the message generated in the operation of the mobile terminal in real time, and distinguishing a DNS protocol, a TCP protocol and an HTTP protocol;
2-4, extracting a domain name and an IP from a DNS protocol, and storing the domain name and the IP into a flow filtering rule file;
2-5, extracting a domain name, a URL (Uniform resource locator) and an IP (Internet protocol) from the HTTP, and storing the domain name, the URL and the IP into a flow filtering rule file;
2-6, extracting IP from the TCP protocol, if the SSL protocol is used, additionally extracting domain name information, and storing the domain name information into a flow filtering rule file;
and 2-7, in the running process of the mobile terminal, controlling the mobile terminal, and triggering the running of each application which is pre-built in the system to generate flow.
7. The system of claim 6, wherein the remote control mobile terminal restarts the mobile terminal by commanding the remote control mobile terminal with an adb.
8. The system according to claim 1, wherein the application analysis module is responsible for performing static analysis and dynamic analysis on the application to generate the application protocol identification rule file corresponding to the specific application.
9. The system according to claim 8, wherein the static analysis and the dynamic analysis are performed on the application to generate the application protocol identification rule file corresponding to the specific application, and the method specifically comprises the following steps:
3-1, unpacking the applications, extracting an application name, a packet name and built-in domain name IP data of each application as protocol name characteristic information of subsequent application protocol flow identification;
3-2, using an adb command to install the application to the mobile terminal and control the operation of the application so that the application generates flow;
3-3, analyzing all captured flows, and extracting and summarizing HOST, URL and IP data;
and 3-4, according to a pre-prepared identification configuration file template, generating an application protocol identification rule file corresponding to a specific application from the HOST, the URL and the IP data extracted from the flow in the 3-3 steps and the application name and package name data extracted by application unpacking.
10. The system according to claim 9, wherein the analyzing of all captured flows, extracting and summarizing HOST, URL, and IP data includes: and filtering the self flow of the mobile terminal operating system according to the domain name, the IP and the URL stored in the flow filtering rule file generated by the flow filtering rule acquisition module, performing DNS (domain name system), HTTP (hyper text transport protocol) and HTTPS (hypertext transfer protocol) analysis on the residual flow, and extracting and summarizing HOST (HOST description language), URL (uniform resource locator) and IP (Internet protocol) data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210384005.3A CN114500309B (en) | 2022-04-13 | 2022-04-13 | Network application flow automatic configuration recognition system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210384005.3A CN114500309B (en) | 2022-04-13 | 2022-04-13 | Network application flow automatic configuration recognition system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114500309A true CN114500309A (en) | 2022-05-13 |
| CN114500309B CN114500309B (en) | 2022-07-08 |
Family
ID=81488903
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210384005.3A Active CN114500309B (en) | 2022-04-13 | 2022-04-13 | Network application flow automatic configuration recognition system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114500309B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120099465A1 (en) * | 2010-04-22 | 2012-04-26 | Yuefeng Ji | Method and its devices of network tcp traffic online identification using features in the head of the data flow |
| CN104348682A (en) * | 2014-10-11 | 2015-02-11 | 北京中创腾锐技术有限公司 | Method and system for mobile application flow feature automatic analysis |
| CN106452948A (en) * | 2016-09-22 | 2017-02-22 | 恒安嘉新(北京)科技有限公司 | Automatic classification method and system of network flow |
| CN109144831A (en) * | 2017-06-15 | 2019-01-04 | 中国移动通信集团浙江有限公司 | A kind of acquisition methods and device of APP recognition rule |
| CN112039904A (en) * | 2020-09-03 | 2020-12-04 | 福州林科斯拉信息技术有限公司 | Network traffic analysis and file extraction system and method |
| CN114051061A (en) * | 2021-11-09 | 2022-02-15 | 武汉虹旭信息技术有限责任公司 | Internet application protocol analysis method and system |
-
2022
- 2022-04-13 CN CN202210384005.3A patent/CN114500309B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120099465A1 (en) * | 2010-04-22 | 2012-04-26 | Yuefeng Ji | Method and its devices of network tcp traffic online identification using features in the head of the data flow |
| CN104348682A (en) * | 2014-10-11 | 2015-02-11 | 北京中创腾锐技术有限公司 | Method and system for mobile application flow feature automatic analysis |
| CN106452948A (en) * | 2016-09-22 | 2017-02-22 | 恒安嘉新(北京)科技有限公司 | Automatic classification method and system of network flow |
| CN109144831A (en) * | 2017-06-15 | 2019-01-04 | 中国移动通信集团浙江有限公司 | A kind of acquisition methods and device of APP recognition rule |
| CN112039904A (en) * | 2020-09-03 | 2020-12-04 | 福州林科斯拉信息技术有限公司 | Network traffic analysis and file extraction system and method |
| CN114051061A (en) * | 2021-11-09 | 2022-02-15 | 武汉虹旭信息技术有限责任公司 | Internet application protocol analysis method and system |
Non-Patent Citations (1)
| Title |
|---|
| 徐莉等: "利用统计特征的网络应用协议识别方法", 《西安交通大学学报》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114500309B (en) | 2022-07-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112615743B (en) | Topological graph drawing method and device | |
| CN101441629A (en) | Automatic acquiring method of non-structured web page information | |
| CN101651707A (en) | Method for automatically acquiring user behavior log of network | |
| EP2847667A1 (en) | Automotive diagnostic server | |
| CN103516541A (en) | Configuration information automatic management method based on intelligent transformer substation | |
| CN108228064B (en) | Data monitoring control method, device and computer storage medium | |
| CN104038821A (en) | Method for uniformly gathering fault information of each functional module of Android television | |
| CN105511906B (en) | A kind of video signal platform automatic deployment method, apparatus and system | |
| CN111427321B (en) | Multi-protocol compatible MES data acquisition system and method thereof | |
| CN105426299A (en) | Workflow technology-based testing data real-time interpretation system | |
| CN106815135A (en) | leak detection method and device | |
| CN103746840A (en) | Method and system for automatic checking of software version information of network equipment | |
| CN105577528A (en) | Wechat official account data collection method and device based on virtual machine | |
| CN104348682A (en) | Method and system for mobile application flow feature automatic analysis | |
| CN111538497A (en) | Configuration method and device suitable for multi-satellite measurement and control management | |
| CN109521738A (en) | Plant data processing system and method based on agreement transmission | |
| CN104426868A (en) | Request processing method and processing apparatus | |
| CN114500309B (en) | Network application flow automatic configuration recognition system | |
| CN107247667A (en) | Automate dump analysis systems and method | |
| CN107707549A (en) | A kind of device and method automatically extracted using feature | |
| CN105099829B (en) | A kind of information resources service availability automatic monitoring method based on http protocol | |
| CN104484262A (en) | Automatic management method for IT (information technology) data center server system | |
| CN107888451B (en) | Method and device for testing Web server | |
| CN113986985A (en) | IO reading method, system, equipment and storage medium for energy management | |
| CN113760730A (en) | Automatic testing 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 |