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Detection method for intrusion data

A detection method and data technology, applied in data exchange networks, digital transmission systems, instruments, etc., can solve problems such as reducing the prevention of minority types of information, network damage, and reducing service performance.

Active Publication Date: 2021-01-12
ZHEJIANG GONGSHANG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The consequences of DDOS attacks may damage the entire network, reduce service performance, block terminal services, and unauthorized access to remote hosts will lead to hosts being controlled to conduct illegal and criminal activities, etc.
The existing classification methods have a high recognition rate of sample points for most categories, so the minority categories are misclassified, which causes a big problem and reduces the information protection for the minority categories

Method used

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  • Detection method for intrusion data
  • Detection method for intrusion data
  • Detection method for intrusion data

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Embodiment Construction

[0037] Specific embodiments are given below to further illustrate the present invention.

[0038] Such as Figure 1 to Figure 4 As shown, a detection method for intrusion data specifically includes the following steps:

[0039] 1) Balanced dataset acquisition step: Use the rough clustering method to calculate the distance from the sample point to the center point of the cluster according to the Euclidean distance of the training data, and divide it into multiple cluster subsets, which will contain fewer sample points and a longer distance The clustering subsets of the intrusion data are regarded as noise points, and these noise data are deleted; then different categories of intrusion data are randomly sampled and dimensionality is reduced to reduce the over-fitting of different categories of intrusion data models, and the training set is over-sampled Perform intra-class balance, increase the number of samples in some categories, and obtain a balanced data set.

[0040] Among t...

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Abstract

The invention discloses a detection method for intrusion data. The detection method specifically comprises the following steps: (1) balanced data set acquisition, (2) data classification and (3) classifier evaluation. The detection method for intrusion data provided by the invention improves data protection and detection generalization performance.

Description

technical field [0001] The invention relates to the technical field of information reduction intrusion detection, more specifically, it relates to a detection method for intrusion data. Background technique [0002] With the development of the Internet industry, preventing information from being intruded has become one of the important issues, and the uneven distribution of data is one of the problems that cannot effectively improve information protection. The unbalanced distribution of data means that the number of samples of one or several categories in the data set far exceeds the number of samples of other types. The category with a small proportion of data is called the minority category, and the category with a large proportion of data is called the majority category. There are many types of network attacks, and some attack types are very common, such as DDOS, brute force cracking, and ARP spoofing. However, some types of attacks occur relatively rarely, such as unau...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L12/24G06K9/62
CPCH04L63/1416H04L63/20H04L41/142G06F18/214G06F18/24
Inventor 任午令张晓冰
Owner ZHEJIANG GONGSHANG UNIVERSITY
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