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BP-neural-network-based intrusion detection method for software-defined network

A BP neural network and software-defined network technology, applied in the field of communication, can solve problems such as difficult to effectively deal with network attacks

Inactive Publication Date: 2016-12-21
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

Currently widely used passive network security mechanisms are difficult to effectively respond to network attacks, and intrusion detection technology, as an active defense technology, makes up for the shortcomings of traditional security technologies

Method used

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  • BP-neural-network-based intrusion detection method for software-defined network

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Embodiment Construction

[0049] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0050] like figure 1 , figure 2 and image 3 As shown, the intrusion detection method of the present invention includes the following steps:

[0051] (1) Using the global network view of the software-defined network control plane, and according to the current working status of the software-defined network, intrusion detection requirements and network security policies, determine the following initial parameters of the BP neural network:

[0052] According to the characteristic attributes of intrusion detection, determine the number m of neurons in the input layer of BP neural network;

[0053] According to the intrusion detection output type, determine the number n of neurons in the output layer of the BP neural network;

[0054] (2) According to the number of neurons in the input layer and the number of neurons in the output layer of the BP neural network,...

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Abstract

The invention, which relates to the SDN network security mechanism in the wireless communication network field, provides a BP-neural-network-based intrusion detection method for software-defined network(SDN). An intrusion detection method that supports real-time detection and dynamic adjustment and faces a software-defined network is designed and realized by combining characteristics of a BP neural network and using the real-time high-efficiency intrusion detection as a target. The intrusion detection mechanism serving as a network service unit of an SDN network application layer is in a loose coupling relation with a control plane of the SDN network; and the BP neural network is used as a core detection unit. During the network operation process, off-line training and dynamic deployment can be realized; and system parameters can be adjusted according to network states, thereby realizing dynamical extensible SDN network intrusion detection. The provided method having characteristics of low network control load, high flexibility, and easy extension is suitable for the intrusion detection process in the SDN network.

Description

technical field [0001] The invention relates to the technical field of communication, in particular to an intrusion detection method based on a BP neural network applied to a software-defined network (SDN). Background technique [0002] With the increasing complexity of network applications, network attack methods emerge in an endless stream, and intrusion methods are also constantly updated, which puts forward higher requirements for network security mechanisms. Currently widely used passive network security mechanism is difficult to effectively respond to network attacks, and intrusion detection technology, as a kind of active defense technology, makes up for the deficiency of traditional security technology. Intrusion detection mainly monitors the status, behavior and usage of the network system to detect abnormal behavior of the network system and active attacks on the system by deliberate intruders using security flaws, and take corresponding measures. Intrusion detect...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06
CPCH04L63/1416H04L63/1425H04L63/205
Inventor 郭建立李俊
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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