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Intrusion detection method based on fast k-nearest neighbor (KNN) algorithm

A KNN algorithm and intrusion detection technology, applied to electrical components, transmission systems, etc., can solve problems such as small improvement space

Active Publication Date: 2014-03-05
EAST CHINA UNIV OF SCI & TECH
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Problems solved by technology

There is still a lot of room for improvement in the existing various intrusion detection algorithms, both in terms of detection capabilities and detection efficiency

Method used

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  • Intrusion detection method based on fast k-nearest neighbor (KNN) algorithm
  • Intrusion detection method based on fast k-nearest neighbor (KNN) algorithm
  • Intrusion detection method based on fast k-nearest neighbor (KNN) algorithm

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Embodiment Construction

[0055] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0056] Such as figure 1 As shown, an intrusion detection method based on the fast KNN algorithm includes the following steps:

[0057] The data preprocessing step is to receive the intrusion detection raw data, and perform data preprocessing on the raw data, including continuous data discretization processing and character data digitization processing, and the data preprocessing method adopts a common method in the prior art;

[0058] In the feature reduction step, a feature reduction algorithm based on mutual information is used to perform feature reduction on the preprocessed data;...

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Abstract

The invention relates to an intrusion detection method based on a fast k-nearest neighbor (KNN) algorithm. The method comprises the following steps: carrying out data pretreatment; receiving original data of intrusion detection; carrying out data pretreatment on the original data, wherein data pretreatment includes continuous data discretization treatment and character data digitalization treatment; reducing features; carrying out feature reduction on the pretreated data by adopting a mutual information-based feature reduction algorithm; detecting in a classified manner; carrying out classified detection on the data after feature reduction by adopting the fast KNN algorithm, and outputting the classified result. Compared with the prior art, the intrusion detection method has the advantages of high classification effectiveness, high classification accuracy and the like.

Description

technical field [0001] The invention relates to a network intrusion detection technology, in particular to an intrusion detection method based on a fast KNN algorithm. Background technique [0002] With the complexity, diversification and intelligence of various computer network attack methods, the problem of network information security has become increasingly prominent. Destruction of the terminal operating system, illegal theft of personal data, bank account passwords, and illegal intrusion into system databases, etc., have seriously hindered the normal use of the Internet and caused great harm to society and individuals. Therefore, building a network information security system is an essential technical support for the effective use of the Internet. Generally speaking, a network information security system includes four steps: protection, detection, reaction, and recovery. The detection is to discover network behaviors beyond the scope of the system security policy, whi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06
Inventor 张雪芹曹庆顾春华
Owner EAST CHINA UNIV OF SCI & TECH
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