METHOD AND SYSTEM FOR RECOGNIZING MINING MALICIOUS SOFTWARE, AND STORAGE MEDIUM

WIPO Patent Application WO/2022/227535

A1

Disclosed in the present invention are a method and system for recognizing mining malicious software, and a storage medium. The method comprises the following steps: pre-processing data of different dimensions; extracting and vectorizing a text feature; on the basis of Stacking, constructing a mining malicious software recognition model integrated with multiple models; and obtaining a prediction result. The present invention relates to a method for detecting mining malicious software for a binary file, which method is rare at present. The targeting performance is great, the implementation process is simple, and the efficiency is high. In addition, in the present invention, multi-dimensional feature extraction is performed on mining software features by means of a plurality of angles, a method of multi-model integration is designed for features of different dimensions, and a combined mining malicious software recognition model is constructed, and the model has high recognition accuracy and a low false alarm rate.

LI SHUDONG (CN)
ZHANG QIANQING (CN)
WU XIAOBO (CN)
JIANG LAIYUAN (CN)
HAN WEIHONG (CN)
FANG BINXING (CN)
TIAN ZHIHONG (CN)
YIN LIHUA (CN)
GU ZHAOQUAN (CN)

PCT/CN2021/132838

November 03, 2022

November 24, 2021

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UNIV GUANGZHOU (CN)

G06F21/56; G06F40/216; G06F40/30; G06K9/62; G06N20/20

CN113139189A	2021-07-20
CN111797394A	2020-10-20
CN112214766A	2021-01-12
CN112000952A	2020-11-27
CN112528284A	2021-03-19
CN111382783A	2020-07-07

GUANGZHOU HUAXUE INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)

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