Detection of Malicious Applications on Android OS

被引：0

作者：

Di Cerbo, Francesco ^{[1
]}

Girardello, Andrea ^{[2
]}

Michahelles, Florian ^{[2
]}

Voronkova, Svetlana ^{[1
]}

机构：

[1] Free Univ Bolzano Bozen, Ctr Appl Software Engn, Bolzano, Italy

[2] ETH, Informat Management, Zurich, Switzerland

来源：

COMPUTATIONAL FORENSICS | 2011年 / 6540卷

关键词：

Mobile Forensics; Android OS; Security;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper presents a methodology for mobile forensics analysis, to detect "malicious" (or "malware") applications, i.e., those that deceive users hiding some of their functionalities. This methodology is specifically targeted for the Android mobile operating system, and relies on its security model features, namely the set of permissions exposed by each application. The methodology has been trained on more than 13,000 applications hosted on the Android Market, collected with AppAware. A case study is presented as a preliminary validation of the methodology.

引用

页码：138 / +

页数：3

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