首页> 外国专利> APPARATUS AND METHOD FOR VERIFYING MALICIOUS CODE MACHINE LEARNING CLASSIFICATION MODEL

APPARATUS AND METHOD FOR VERIFYING MALICIOUS CODE MACHINE LEARNING CLASSIFICATION MODEL

机译:验证恶意代码机学习分类模型的装置和方法

摘要

According to one embodiment of the present invention, provided is an apparatus for verifying a malicious code machine learning classification model, which comprises: a main feature processing subsystem performing a function of extracting and processing features in an inputted file; and a multilayer circulation verification subsystem performing multilayer verification in order to determine whether the file is normal or malicious, based on the extracted and processed features. The apparatus can perform verification on a machine learning model classifying a malicious code, thereby ensuring the reliability of a prediction result of the machine learning model.;COPYRIGHT KIPO 2019
机译:根据本发明的一个实施例,提供了一种用于验证恶意代码机器学习分类模型的设备,该设备包括:主特征处理子系统,其执行提取和处理输入文件中的特征的功能;以及多层循环验证子系统执行多层验证,以基于提取和处理的特征确定文件是否正常。该装置可以对分类恶意代码的机器学习模型执行验证,从而确保机器学习模型的预测结果的可靠性。COPYRIGHTKIPO 2019

著录项

  • 公开/公告号KR102010468B1

    专利类型

  • 公开/公告日2019-08-14

    原文格式PDF

  • 申请/专利权人 WINS CO. LTD.;

    申请/专利号KR20180106470

  • 发明设计人 CHOI BYUNG HWAN;KIM IN HO;PARK SEUNG YEON;

    申请日2018-09-06

  • 分类号G06F21/56;

  • 国家 KR

  • 入库时间 2022-08-21 11:47:57

获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号