How I Met Your Mother? An Empirical Study about Android Malware Phylogenesis

被引:4
作者
Canfora, Gerardo [1 ]
Mercaldo, Francesco [1 ,2 ]
Pirozzi, Antonio [1 ]
Visaggio, Corrado Aaron [1 ]
机构
[1] Univ Sannio, Dept Engn, Benevento, Italy
[2] Ctr Reg Informat Commun Technol CeRICT Scrl, Benevento, Italy
来源
SECRYPT: PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON E-BUSINESS AND TELECOMMUNICATIONS - VOL. 4 | 2016年
关键词
Malware; Phylogenesis; Lineage; Triage; Security; Android;
D O I
10.5220/0005968103100317
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
New malware is often not really new: malware writers are used to add functionality to existing malware, or merge different pieces of existing malware code. This determines a proliferation of variants of the same malware, that are logically grouped in "malware families". To be able to recognize the malware family a malware belongs to is useful for malware analysis, fast infection response, and quick incident resolution. In this paper we introduce DescentDroid, a tool that traces back the malware descendant family. We experiment our technique with a real world dataset of malicious applications labelled with the family they belong to, obtaining high precision in recognizing the malware family membership.
引用
收藏
页码:310 / 317
页数:8
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