An Unknown Malware Detection Using Execution Registry Access

被引:1
|
作者
Kono, Kento [1 ]
Phomkeona, Sanouphab [1 ]
Okamura, Koji [1 ]
机构
[1] Kyushu Univ, Grad Sch Informat Sci & Elect Engn, Fukuoka, Japan
基金
日本科学技术振兴机构;
关键词
Malicious software; virus infection; malware detection; registry access; URSNIF;
D O I
10.1109/COMPSAC.2018.10281
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Traditional antivirus software is using virus definition to identify malware infection. In addition, antivirus needs to update the new virus definitions to guarantee its detection accuracy. However, due to the number of malware variants and new types of them are increase, it is very difficult to detect and respond them all. Moreover, there will be a serious incident if an unknown malware that did not correspond to the data definition had installed and expanded the infection without any notification. Therefore, in this paper we proposed a method to detect malware infection focus on registry accesses and malware execution processes based on Windows OS host pc. By using URSNIF banking spyware in experiments, we calculated its high failure rate of registry accesses as well as checked on specific access to confirmed the detection result.
引用
收藏
页码:487 / 491
页数:5
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