Method for classifying network equipment by utilizing machine learning

A technology of machine learning and network equipment, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problem that information cannot meet the needs of network security, and achieve the effect of easy management and simple safety regulations

Inactive Publication Date: 2015-09-02
BEIJING KUANGEN NETWORK TECH
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, such information is often not able to meet the needs of network security

Method used

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  • Method for classifying network equipment by utilizing machine learning
  • Method for classifying network equipment by utilizing machine learning

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Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] Such as figure 1 The flow chart of classifying network devices using supervised machine learning is shown, the method includes two steps of training a device classification model and using the classification model.

[0035] The process of training the device classification model is as follows: figure 1 shown, including the following steps:

[0036] 1) Collect data packets and calculate characteristic values, collect and record data packets received or sent by multiple devices of the user within a certain period of time. For each device, the system summarizes device-related data packets in...

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Abstract

The invention discloses a method for classifying network equipment by utilizing machine learning. The method establishes a classifying model for the network equipment by utilizing a supervised machine learning technology or a non-supervised machine learning technology, so as to classify known or newly added equipment in a network. The method has the technical advantages of analyzing behavior of the equipment through data packets transmitted and received by industrial control network equipment, and further classifying the equipment automatically. The understanding of types of the equipment is conducive to auditing network communication data. Unlike the traditional security specification for individual equipment, the security specification for equipment types is simpler and easy to manage, and the user can define corresponding security specifications for newly added equipment nodes easily.

Description

technical field [0001] The invention relates to the field of computer network information security, and more specifically, relates to a method for classifying network devices by using machine learning. Background technique [0002] In a network, different devices have different functions. For example, programmable logic controllers are used to control industrial control equipment, and FTP servers are used for file data storage and transmission. From the perspective of network security, knowing the type of equipment is conducive to auditing network communication data and setting standards for communication between different devices. For example, FTP packets from an engineer's workstation to a programmable logic controller are considered illegal and may indicate an illegal data leak. From the user's point of view, a security rule can be defined: [Engineer Workstation] -> [PLC]: FTP alarm. That is to say, the security rules are not aimed at certain specific devices, but a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26H04L12/24
Inventor 徐林孙一桉
Owner BEIJING KUANGEN NETWORK TECH
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