Virus detection method and apparatus for file

A virus detection and file technology, applied in computer security devices, instruments, electrical digital data processing, etc., can solve the problems of low virus accuracy, no virus optimization, and limited sample data, so as to avoid virus identification deviation and speed up The effect of speed and accuracy improvement

Active Publication Date: 2016-12-07
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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Problems solved by technology

[0003] The existing virus detection method combined with deep learning and neural network still has shortcomings. For example, the existing virus detection method combined with deep learning and neural network has limited sample data when training the virus detection model, which directly leads to The virus detection model can only detect a small amount of viruses based on the sample data, and cannot take advantage of the deep learning neural network; at the same time, the existing deep learning neural network is not optimized for specific virus characteristics, resulting in the detection of the virus detection model. Viruses are not accurate

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  • Virus detection method and apparatus for file
  • Virus detection method and apparatus for file
  • Virus detection method and apparatus for file

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[0017] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0018] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0019] figure 1 An exemplary system architecture 100 of an embodiment of a virus detection method or a virus detection device to which the documents of the present application can be applied is shown.

[0020] Such as figure 1 As shown, the system architecture 100 may incl...

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Abstract

The invention discloses a virus detection method and apparatus for a file. A specific embodiment of the method comprises the steps of extracting characteristic information from a to-be-detected file, wherein the characteristic information is used for representing a running behavior of the to-be-detected file; performing normalization processing on the characteristic information to obtain normalized data corresponding to the characteristic information; and converting the normalized data into binary data, and importing the binary data into a pre-trained virus detection model to perform virus detection to obtain a virus detection result. According to the implementation mode, a virus identification deviation caused by quantity can be avoided, the virus identification accuracy can be improved, and the virus identification speed is increased.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to the technical field of virus detection and processing, and in particular to a file virus detection method and device. Background technique [0002] The concept of deep learning originated from the study of artificial neural networks. A multi-layer perceptron with multiple hidden layers is a deep learning structure. Deep learning combines low-level features to form more abstract high-level representation attribute categories or features to discover distributed feature representations of data. The combination of deep learning and neural network is used for virus detection of files, which can accurately identify virus files. [0003] The existing virus detection method combined with deep learning and neural network still has shortcomings. For example, the existing virus detection method combined with deep learning and neural network has limited sample data when t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/56
CPCG06F21/566
Inventor 刘金克吕钦侯柳平王磊周杰
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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