Malicious file identification method, device and storage medium
A malicious file and identification method technology, applied in the Internet field, can solve problems such as low efficiency, virus harm, and time-consuming extraction of virus features, and achieve the effect of improving detection efficiency, accurate and effective extraction
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[0031] The solution of the embodiment of the present invention is mainly: use a learning set composed of a predetermined malicious file and a normal file to generate a machine learning model; read files to be detected outside the learning set, and convert the files to be detected into vectors, through machine learning The model performs malicious file identification on the files to be detected that are converted into vectors, and uses the characteristics of timely response and fast processing speed of machine learning to improve the detection efficiency of malicious files.
[0032] The malicious file in the present invention may be a virus file or other malicious files. The following embodiment uses malicious files as examples. Among them, the technical terms involved include:
[0033] Black file: virus file
[0034] Black vector: the vector transformed into the virus file
[0035] White file: normal non-virus file
[0036] White vector: the vector converted from normal non-virus file...
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