Detecting Malicious Executable Files Based on Static-Dynamic Analysis Using Machine Learning

被引：1
|
作者：
Ognev, R. A. [1 ]
Zhukovskii, E. V. [1 ]
Zegzhda, D. P. [1 ]
Kiselev, A. N. [2 ]
机构：
[1] Peter Great St Petersburg Polytech Univ, St Petersburg 195251, Russia
[2] Mozhaisky Mil Space Acad, St Petersburg 197198, Russia
来源：
AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2022年 / 56卷 / 08期
关键词：
information security systems; malware detection; static-dynamic analysis; feature selection of program behavior parameters;
D O I：
10.3103/S0146411622080120
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In current operating systems, executable files are used to solve various problems, which in turn can be either benign (perform only necessary actions) or malicious (the main purpose of which is to perform destructive actions in relation to the system). Thus, malware is a program used for unauthorized access to information and/or impact on information or resources of an automated information system. Here, the problem of determining the types of executable files and detecting malware is solved.
引用
收藏
页码：852 / 864
页数：13
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