Handset Malwares Threats Feature Extraction Based on Behavior Analysis

Autor:	Aliaa A. A. Youssif, Marwa M. A. Elfattah, Ebada Sarhan Ahmed
Rok vydání:	2012
Předmět:	Process (engineering) Computer science Feature extraction computer.file_format Computer security computer.software_genre Handset Effective solution law.invention law Malware Pharmacology (medical) Executable computer
Zdroj:	Computer and Information Science. 5
ISSN:	1913-8997 1913-8989
DOI:	10.5539/cis.v5n2p79
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f2070fb0fd681c0f5fa079885214fd59 https://doi.org/10.5539/cis.v5n2p79 Zobrazit plný text záznamu