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Network intrusion detection method based on element sample sparse representation

A network intrusion detection and sparse representation technology, applied in the field of network security, can solve the problems of difficult to deal with unknown network attack behavior, high false positive rate of abnormal detection, and achieve good denoising performance, good robustness, and reduce the amount of calculation. Effect

Active Publication Date: 2015-10-14
SICHUAN CHANGHONG ELECTRIC CO LTD
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is to propose a network intrusion detection method based on the sparse representation of meta-samples to solve the problems that the traditional commonly used intrusion detection methods are difficult to cope with unknown network attack behaviors and the false alarm rate of anomaly detection is too high

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  • Network intrusion detection method based on element sample sparse representation
  • Network intrusion detection method based on element sample sparse representation
  • Network intrusion detection method based on element sample sparse representation

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Embodiment Construction

[0044] The present invention aims to propose a network intrusion detection method based on sparse representation of meta-samples to solve the problems that traditional common intrusion detection methods are difficult to deal with unknown network attack behaviors and the false alarm rate of anomaly detection is too high.

[0045] Such as figure 1 As shown, the network intrusion detection method based on meta-sample sparse representation in the present invention includes the following steps:

[0046] A. Use network data collection tools to collect network instances and build training sample sets;

[0047]B. Extract meta-samples from the constructed network training sample set, form a meta-sample set and replace the training sample set;

[0048] C. Use the sparse representation classification method to detect the network data to be identified, so as to identify the category of the network data to be detected.

[0049] Below in conjunction with embodiment, scheme of the present ...

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Abstract

The invention relates to the field of network security, and discloses a network intrusion detection method based on element sample sparse representation. The problems that a traditional common intrusion detection method is difficult to deal with unknown network attacks and the false alarm rate of anomaly detection is high are solved. The method comprises the steps that a, a network data collection tool is used to collect network instances to build a training sample set; b, an element sample is extracted from the built network training sample set in a centralized manner, and an element sample set is formed to replace the training sample set; and c, a sparse representation classification method is used to detect network data to be identified, so as to identify the category of the network data to be detected. The network intrusion detection method provided by the invention is applicable to network intrusion detection.

Description

technical field [0001] The invention relates to the field of network security, in particular to a network intrusion detection method based on sparse representation of meta samples. Background technique [0002] With the rapid development of network technology and the continuous expansion of network scale, network security problems are becoming more and more serious. As an important technology to maintain network security, intrusion detection has become an important research content in the field of information security, and has received extensive attention from many experts and scholars. Intrusion detection technology mainly judges whether there is any violation of system security or security policy in the system by analyzing relevant network data. [0003] Intrusion detection can be regarded as a classification problem in essence, and all behaviors in the network can be divided into two categories, namely normal behavior and abnormal behavior, so that intrusion detection ca...

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Application Information

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IPC IPC(8): H04L29/06
CPCH04L63/1416H04L63/1425
Inventor 邓密密
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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