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1. CN111222137 - 一种程序分类模型训练方法、程序分类方法及装置

Office China
Application Number 201811419260.7
Application Date 26.11.2018
Publication Number 111222137
Publication Date 02.06.2020
Publication Kind A
IPC
G06F 21/56
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
55Detecting local intrusion or implementing counter-measures
56Computer malware detection or handling, e.g. anti-virus arrangements
G06K 9/62
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
Applicants 华为技术有限公司
Inventors 焦丽娟
Agents 深圳市深佳知识产权代理事务所(普通合伙) 44285
Title
(ZH) 一种程序分类模型训练方法、程序分类方法及装置
Abstract
(ZH)
本申请实施例公开一种程序分类模型训练方法、程序分类方法及装置,提高了识别未知程序类别的准确率。其中程序分类模型训练方法包括:接收输入的多个样本程序;对多个样本程序中的每个选择出的样本程序,获取对应的静态特征的特征值和动态特征的特征值;根据对应的静态特征的特征值、动态特征的特征值以及融合操作规则,获得选择出的样本程序的至少一个备选融合特征的特征值;针对每个备选融合特征,根据该备选融合特征在样本程序中的特征值以及样本程序的类别,确定该备选融合特征的评价值;根据每个备选融合特征的评价值,从至少一个备选融合特征中选择目标融合特征;根据每个样本程序中目标融合特征的特征值,训练得到程序分类模型。

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