Instance-based Anomaly Method for Android Malware Detection

被引：0

作者：

Sanz, Borja ^{[1
]}

Santos, Igor ^{[1
]}

Ugarte-Pedrero, Xabier ^{[1
]}

Laorden, Carlos ^{[1
]}

Nieves, Javier ^{[1
]}

Bringas, Pablo G. ^{[1
]}

机构：

[1] Univ Deusto, S3Lab, Ave Univ 24, Bilbao, Spain

来源：

PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON SECURITY AND CRYPTOGRAPHY (SECRYPT 2013) | 2013年

关键词：

Security; Malware; Android;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The usage of mobile phones has increased in our lives because they offer nearly the same functionality as a personal computer. Besides, the number of applications available for Android-based mobile devices has increased. Android application distribution is based on a centralized market where the developers can upload and sell their applications. However, as it happens with any popular service, it is prone to misuse and, in particular, malware writers can use this market to upload their malicious creations. In this paper, we propose a new method that, based upon several features that are extracted from the AndroidManifest file of the legitimate applications, builds an anomaly detection system able to detect malware.

引用

页码：387 / 394

页数：8

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