文章基本信息
- 标题：Handset Malwares Threats Feature Extraction Based on Behavior Analysis
- 本地全文：下载
- 作者：Marwa A. Efattah ; Aliaa A. A. Youssif ; Ebada Sarhan Ahmed 等
- 期刊名称：Computer and Information Science
- 印刷版ISSN：1913-8989
- 电子版ISSN：1913-8997
- 出版年度：2012
- 卷号：5
- 期号：2
- 页码：79
- DOI：10.5539/cis.v5n2p79
- 出版社：Canadian Center of Science and Education
- 摘要：
The malware threat for mobile phones is expected to increase with the great functionality enhancement of mobile phones. Despite the nowadays malware high abilities, there are a lot of challenges that facing the mobile threat containment process.
From this perspective, this work introduces a novel effective solution for discovering handset malwares threats. The work proposed a new behavior based technique for mobile application analysis, which is based on exploiting the application DLL usages, in order to extract values that can be used in a malware detection process. The technique is highly expected to be able to detect zero day viruses that have the similar functionalities as existing ones. Also, since these DLL functions are easy to be extracted from the executable files, the approach is computationally efficient.
