Dynamic Malware Detection using API Similarity

被引:9
|
作者
Alkhateeb, Ehab M.
机构
关键词
hacker; malware; credit card; Trojan; malware analysis; information security; API;
D O I
10.1109/CIT.2017.14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Hackers create different types of Malware such as Trojans which they use to steal user-confidential information (e.g. credit card details) with a few simple commands, recent malware however has been created intelligently and in an uncontrolled size, which puts malware analysis as one of the top important subjects of information security. This paper proposes an efficient dynamic malware-detection method based on API similarity. This proposed method outperform the traditional signature-based detection method. The experiment evaluated 197 malware samples and the proposed method showed promising results of correctly identified malware.
引用
收藏
页码:297 / 301
页数:5
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