Webshell detection method and device based on Relief algorithm
A detection method and algorithm technology, applied in computing, complex mathematical operations, computer parts and other directions, can solve the problem of high false alarm and false alarm rate, and achieve the effect of improving the accuracy rate and reducing the false alarm rate and the false alarm rate and the false alarm rate.
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[0055] The webshell detection method based on the Relief algorithm described in the embodiment of the present invention, such as figure 1 shown, including the following steps:
[0056] Step S1, collecting samples, the samples include webshell samples and normal samples;
[0057] Under normal circumstances, there are relatively few webshell samples, and a large number of webshell samples can be obtained by collecting webshell information on github and using Python scripts.
[0058] Step S2, extracting the text features in the sample to obtain a text feature sample set, and extracting the behavioral features in the sample to obtain a behavioral feature sample set;
[0059] Among them, text features are used to represent text information, which can include: information entropy, longest string length, file overlap index, file compression ratio, and proportion of non-alphanumeric characters; extract text features in samples to form a text feature sample set;
[0060] Behavioral f...
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