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Real-time feature filtering method in intrusion detection system

An intrusion detection system, real-time feature technology, applied in structured data retrieval, digital data information retrieval, special data processing applications, etc. Effect

Active Publication Date: 2021-06-22
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although to a certain extent, the "highly relevant" feature criterion can select features that are highly correlated with the target decision class every time, it ignores the advantages of feature complementarity

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  • Real-time feature filtering method in intrusion detection system
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  • Real-time feature filtering method in intrusion detection system

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Embodiment Construction

[0034]In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. The described embodiments are only part of the implementation of the present invention. example, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0035] A real-time feature filtering method in an intrusion detection system, the method comprising: periodically acquiring intrusion detection data, and preprocessing the acquired data; extracting the features of the preprocessed intrusion detection data, and calculating the inflow system features and target decision at time t The correlation value of the class; the c...

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Abstract

The invention belongs to the field of data mining, and particularly relates to a real-time feature filtering method in an intrusion detection system, which comprises the following steps of: periodically acquiring intrusion detection data, and preprocessing the acquired data; extracting features of the preprocessed intrusion detection data, and calculating a correlation value between the features of the inflow system at the moment t and a target decision class; comparing the calculated correlation value with a set threshold value, and executing different strategies on the intrusion detection data according to a comparison result; different feature execution strategies are adopted for different features, and a feature complementation detection strategy is further adopted for the features which do not meet the'high correlation 'feature criterion, so that the model can select more valuable features, and the classification precision of the model is improved.

Description

technical field [0001] The invention belongs to the field of data mining, and in particular relates to a real-time feature filtering method in an intrusion detection system. Background technique [0002] With the development of information technology, network technology, and biological sciences, more and more intrusion detection system data have appeared, and how to obtain valuable information from the huge, complex, and various intrusion detection system data is the current research topic. Key points and difficult points. On the one hand, massive data can allow users to better understand things and provide a basis for data analysis and judgment; on the other hand, high-dimensional data contains a lot of important information, but the information has redundancy, irrelevance and interference information. So that in data mining, there will be many problems. When the feature dimension of the data exceeds a certain value, the performance of the classifier will decrease with th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/55G06F16/2458G06F16/26
CPCG06F21/55G06F16/2465G06F16/26
Inventor 张清华李新太高满庞国弘赵凡
Owner CHONGQING UNIV OF POSTS & TELECOMM