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FEATURE SELECTION DEVICE, FEATURE SELECTION SYSTEM, FEATURE SELECTION METHOD AND FEATURE SELECTION PROGRAM

机译:特征选择装置,特征选择系统,特征选择方法和特征选择程序

摘要

PROBLEM TO BE SOLVED: To reduce the number of trials required for selection of a feature used for malware determination, and facilitate estimation of a finish period of the trial.;SOLUTION: A system creates a combination of trials of features on the basis of an orthogonal table which is used for an experimental design, with respect to a candidate group of the features extracted from information included in a file. Then, the system collates a classification result of the file for test and correct answer information indicating whether or not, each of files of inference data is malware, and thereby calculates classification (determination) accuracy by the combination of features. Then the system uses the feature used for calculation as an explanatory variable, and calculates magnitude of contribution of each candidate, using regression analysis in which the classification accuracy at the time when the feature is used is an objective variable. Then the system selects the feature on the basis of magnitude of the contribution, and outputs the selection result.;SELECTED DRAWING: Figure 1;COPYRIGHT: (C)2016,JPO&INPIT
机译:解决的问题:减少选择用于恶意软件确定的功能所需的试验次数,并简化对试验完成时间的估算。;解决方案:系统基于以下特征创建功能试验的组合:关于从文件中包含的信息中提取的候选特征组用于实验设计的正交表。然后,系统将用于测试的文件的分类结果和指示推理数据的每个文件是否为恶意软件的正确答案信息进行核对,从而通过特征的组合来计算分类(确定)准确性。然后,系统将用于计算的特征用作解释变量,并通过回归分析计算每个候选者的贡献量,其中使用该特征时的分类精度为目标变量。然后系统根据贡献的大小选择特征,并输出选择结果。SELECTED DRAWING:图1; COPYRIGHT:(C)2016,JPO&INPIT

著录项

  • 公开/公告号JP2016031629A

    专利类型

  • 公开/公告日2016-03-07

    原文格式PDF

  • 申请/专利权人 NIPPON TELEGR & TELEPH CORP NTT;

    申请/专利号JP20140153506

  • 发明设计人 OKANO YASUSHI;

    申请日2014-07-29

  • 分类号G06F21/56;

  • 国家 JP

  • 入库时间 2022-08-21 14:44:37

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