Cart (Loading....) | Create Account
Close category search window
 

Smartphone malware detection: From a survey towards taxonomy

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
3 Author(s)
Amamra, A. ; Dept. of Software Eng. & Inf. Technol., Ecole de Technol. Super., Montreal, QC, Canada ; Talhi, C. ; Robert, J.

Smartphone malwares are serious threat. Malware detector is the primary tool to protect Smartphones against malwares. The malware detector efficiency is based on the technique it uses. In this paper, we survey the current state of the art of Smartphone malware detection techniques. Those techniques have been classified into a structured taxonomy based on 3 rules. Those rules are inferred and compiled from literature review. The rules are: reference behaviour, analysis approach and malware behaviour representation. According to reference behaviour rule, Smartphone malware detection techniques divided into two main classes: signature-based and anomaly-based. In side these classes, ramifications are then derived according to analysis approach rule and malware behaviour representation rule.

Published in:

Malicious and Unwanted Software (MALWARE), 2012 7th International Conference on

Date of Conference:

16-18 Oct. 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.