Network service dynamic identification and division system, method and device and storage medium
A network business, dynamic identification technology, applied in the field of Internet security, can solve the problem of lack of stable and reliable implementation
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Embodiment 1
[0069] A system for dynamic identification and division of network services, such as figure 1 , figure 2 As shown, it includes a network feature extraction module, a network topology discovery module, and a service identification and division module; the network feature extraction module is used to: obtain real-time traffic data, preprocess the acquired real-time traffic data, and perform structural features after the preprocessing operation Extract and quantify feature calculations, persist the results of feature calculations, and store them in a structured feature library; the network topology discovery module is used to: discover network topology and construct network topology information; the service identification and division module is used to: Identify and classify network services.
[0070] The overall design idea of the system for dynamic identification and division of network services in the present invention is to first use sniffing tools to obtain real-time dat...
Embodiment 2
[0072] According to the system for dynamically identifying and classifying network services described in Embodiment 1, the difference is that:
[0073] The network feature extraction module includes a sequentially connected data acquisition module, a preprocessing module, a structured feature extraction module, a quantitative feature calculation module, and a feature storage module;
[0074] The data acquisition module is used to obtain real-time traffic data, which is the network metadata, and the network metadata refers to the data frames extracted from the network traffic; after the data is obtained, it is handed over to the pre-processing module for processing; the pre-processing module is used for Perform data cleaning, deduplication, denulling, and type conversion operations on the acquired real-time traffic data in sequence; the structured feature extraction module is used to perform structured feature extraction on the data preprocessed by the preprocessing module; the ...
Embodiment 3
[0096] A method for dynamic identification and division of network services, such as Figure 5 shown, including the following steps:
[0097] 1) Collect real-time traffic data through the current network;
[0098] 2) Preprocessing the collected real-time flow data;
[0099] 3) Network topology discovery is performed concurrently while performing network service identification, network service identification obtains the result of network service dynamic identification, and network topology discovery obtains network topology information;
[0100] 4) Using the result of dynamic identification of network services and network topology information as input to divide service groups;
[0101] 5) storing the obtained division result in the business division result database;
[0102] 6) Record and print the log.
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