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Network intrusion detection method and device

A network intrusion detection and network intrusion technology, applied in the field of network security, can solve the problems of insufficient normalization ability of known attack identification and lack of defense ability of unknown attacks, and achieve the effect of increasing normalization ability and identification ability.

Active Publication Date: 2017-05-10
NEUSOFT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, there are two obvious defects in the existing technology: 1. The lack of defense against unknown attacks; easy to bypass detection

Method used

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  • Network intrusion detection method and device
  • Network intrusion detection method and device
  • Network intrusion detection method and device

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Embodiment Construction

[0021] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar modules or modules having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are only for explaining the present application, and should not be construed as limiting the present application. On the contrary, the embodiments of the present application include all changes, modifications and equivalents falling within the spirit and scope of the appended claims.

[0022] figure 1 It is a schematic flowchart of a network intrusion detection method proposed by an embodiment of the present application.

[0023] Such as figure 1 As shown, the method of the present embodiment includes:

[0024] S11: Obtain a feature vector of the traffic to be detected.

[0025] The traffic to be detected refers to data in network trans...

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Abstract

The invention provides a network intrusion detection method and device. The method comprises steps that a characteristic vector of a to-be-detected flow is acquired; a neural depth network is employed to detect the characteristic vector to determine a network intrusion category of the to-be-detected flow, the neural depth network is generated through training the training data, the training data comprises a characteristic vector of a normal sample and a characteristics vector of an attack sample, and the attack sample comprises an original attack sample and the sample acquired after adding noise to the original attack sample. The method is advantaged in that identification capability in unknown attack is enhanced, and normalization capability in known attack is further enhanced.

Description

technical field [0001] The present application relates to the technical field of network security, in particular to a network intrusion detection method and device. Background technique [0002] An intrusion detection system (Intrusion Detection System, IDS) is a network security device or application software that can monitor network transmissions in real time, and send an alarm or take proactive measures when suspicious transmissions are found. [0003] The core function of IDS is intrusion detection technology, which is to discover network transmissions that violate security policies. At the same time, intrusion detection technology is also widely used in network security products such as intrusion prevention system (Intrusion Prevention System, IPS) and next generation firewall (Next generation firewall, NGFW). [0004] Existing intrusion detection techniques are mainly divided into several categories: simple pattern matching, state pattern matching, signature based on ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06
CPCH04L63/1416G06N3/045Y04S10/50G06N3/088H04L63/1425
Inventor 杜强
Owner NEUSOFT CORP