Handset Malwares Threats Feature Extraction Based on Behavior Analysis

Marwa M. A. Efattah, Aliaa A. A. Youssif, Ebada Sarhan Ahmed

Abstract


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.

Full Text: PDF DOI: 10.5539/cis.v5n2p79

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Computer and Information Science   ISSN 1913-8989 (Print)   ISSN 1913-8997 (Online)
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