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Malicious program sample classification method and device

A malicious program and classification method technology, applied in computer security devices, instruments, calculations, etc., can solve the problem of low accuracy of clustering methods

Active Publication Date: 2018-10-16
BEIJING QIANXIN TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, scholars at home and abroad have done a lot of research on clustering algorithms for massive samples, but the proposed clustering methods for massive samples are not very accurate.

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  • Malicious program sample classification method and device
  • Malicious program sample classification method and device
  • Malicious program sample classification method and device

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Embodiment Construction

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but not to limit the present invention.

[0050] The inventors found that the existing clustering methods for malicious program samples include dynamic clustering and static clustering. However, no matter whether dynamic clustering or static clustering is performed on malicious program samples, the clustering results obtained are not accurate. For example, some behaviors of samples may not be triggered during dynamic clustering, resulting in incomplete collection of sample behaviors. At this time, the clustering results are not very accurate. If dynamic clustering and static clustering can be combined, t...

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Abstract

The invention discloses a rogue program sample classification method and device. The method comprises the following steps: carrying out dynamic clustering on rogue program samples to obtain a dynamic clustering result of the rogue program samples; carrying out static clustering on the rogue program samples to obtain a static clustering result of the rogue program samples; and screening the dynamic clustering result according to the static clustering result, and forming a rogue program sample database based on the screened dynamic clustering result. With the adoption of the rogue program sample classification method and device disclosed by the invention, the accuracy of classifying the rogue program samples can be improved.

Description

technical field [0001] The invention relates to the technical field of computer software, in particular to a method and a device for classifying malicious program samples. Background technique [0002] With the development of information technology, people's work and life are increasingly inseparable from the Internet. While the Internet brings great convenience, there are also many security problems. In recent years, the number of computer malicious programs has developed rapidly, including large-scale outbreaks of malicious programs such as viruses, worms, and Trojan horses, which have caused huge threats and property losses to computer users. Due to the large number of variants of malicious program samples and the great similarity of the source codes of samples produced by the same author, it is very necessary to find the correlation between samples and conduct homology analysis on a large number of samples. This involves the clustering of massive samples. Security ven...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/56
CPCG06F21/563
Inventor 计东韩鹏
Owner BEIJING QIANXIN TECH
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