CN114500309B - Network application flow automatic configuration recognition system - Google Patents

Network application flow automatic configuration recognition system Download PDF

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CN114500309B
CN114500309B CN202210384005.3A CN202210384005A CN114500309B CN 114500309 B CN114500309 B CN 114500309B CN 202210384005 A CN202210384005 A CN 202210384005A CN 114500309 B CN114500309 B CN 114500309B
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application
flow
protocol
analysis
mobile terminal
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CN114500309A (en
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阎星娥
刘慰慰
杨昆
严荣明
张�林
魏红道
江汀
陆启浩
叶益群
胡江
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Nanjing Huafei Data Technology Co ltd
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Nanjing Huafei Data Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/02Capturing of monitoring data
    • H04L43/028Capturing of monitoring data by filtering
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/02Capturing of monitoring data
    • H04L43/026Capturing of monitoring data using flow identification
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/18Protocol analysers

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention provides a network application flow automatic configuration recognition 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 defect of manual analysis are made up.

Description

Network application flow automatic configuration recognition system
Technical Field
The invention relates to a network application flow automatic configuration and identification system, belonging 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, storing the traffic matching features to be filtered according to the domain name, the IP, and the URL in the traffic filtering rule file 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 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 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 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 to generate the application protocol identification rule file corresponding to the specific application at last 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 independently analyzing each application 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 obtain 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 flow filtering rule obtaining module is responsible for generating a flow filtering rule file for filtering non-application protocol flow 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 (2)

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; 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 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 an analysis source folder;
the flow filtering rule obtaining module carries out packet capturing analysis on a mobile terminal operating system for analyzing application in advance, extracts IP and URL characteristics from DNS, TCP and HTTP and takes the IP and URL characteristics as reference data for filtering flow in subsequent analysis;
the flow filtering rule obtaining module is responsible for generating a flow filtering rule file, and flow matching characteristics needing to be filtered are stored in the flow filtering rule file according to a domain name, an IP (Internet protocol) and a URL (uniform resource locator) and are used for filtering non-application protocol flows in application analysis;
the method specifically comprises the following steps of storing traffic matching characteristics needing to be filtered according to domain names, IP and URLs in the traffic filtering rule file:
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;
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 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 finally;
the static analysis and the dynamic analysis are carried out on the application to generate an 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;
3-4, according to a pre-prepared identification configuration file template, generating an application protocol identification rule file corresponding to a specific application from HOST, URL and IP data extracted from the flow in the 3-3 steps and application name and package name data extracted by application unpacking;
the analyzing of all captured flows, extracting and summarizing HOST, URL and IP data is specifically as follows: 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 secured protocol) analysis on the residual flow, and extracting and summarizing HOST (HOST description language), URL (uniform resource locator) and IP data.
2. The system of claim 1, wherein the remote control mobile terminal restarts the mobile terminal by commanding the remote control mobile terminal with an adb.
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