The Algorithm of Malicious Code Detection Based on Data Mining

被引：1

作者：

Yang, Yubo ^{[1
]}

Zhao, Yang ^{[1
]}

Liu, Xiabi ^{[2
]}

机构：

[1] Beijing E Hualu Informat Technol CO LTD, Beijing 100043, Peoples R China

[2] Beijing Inst Technol, Beijing 100081, Peoples R China

来源：

GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I | 2017年 / 1864卷

关键词：

Malicious Code; Data Mining; Information Gain; Decision Tree;

D O I：

10.1063/1.4992960

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Traditional technology of malicious code detection has low accuracy and it has insufficient detection capability for new variants. In terms of malicious code detection technology which is based on the data mining, its indicators are not accurate enough, and its classification detection efficiency is relatively low. This paper proposed the information gain ratio indicator based on the N-gram to choose signature, this indicator can accurately reflect the detection weight of the signature, and helped by C4.5 decision tree to elevate the algorithm of classification detection.

引用

页数：5

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