Machine Learning for Analyzing Malware

被引：1

作者：

Dong, Yajie ^{[1
]}

Liu, Zhenyan ^{[1
]}

Yan, Yida ^{[1
]}

Wang, Yong ^{[1
]}

Peng, Tu ^{[1
]}

Zhang, Ji ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Software, Beijing, Peoples R China

来源：

NETWORK AND SYSTEM SECURITY | 2017年 / 10394卷

基金：

国家重点研发计划;

关键词：

Machine learning; Classification; Analyzing malware; Clustering; Association analysis; EXECUTABLES;

D O I：

10.1007/978-3-319-64701-2_28

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Internet has become an indispensable part of people's work and life. It provides favorable communication conditions for malwares. Therefore, malwares are endless and spread faster and become one of the main threats of current network security. Based on the malware analysis process, from the original feature extraction and feature selection to malware detection, this paper introduces the machine learning algorithm such as clustering, classification and association analysis, and how to use the machine learning algorithm to malware and its variants for effective analysis.

引用

页码：386 / 398

页数：13

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