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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Formal Methods Meet Mobile Code Obfuscation

Authors: A. Cimitile; F. Martinelli; F. Mercaldo; V. Nardone; A. Santone;

Formal Methods Meet Mobile Code Obfuscation

Abstract

Android represents the most widespread mobile environment. This increasing diffusion is the reason why attackers are attracted to develop malware targeting this platform. Malware writers usually use code obfuscation techniques in order to evade the current antimalware detection and to generate new malware variants. These techniques make code programs harder to understand and they change the signature of the application making ineffective the signature extraction work. We propose a method based on formal methods able to identify whether a mobile application is obfuscated. In this preliminary work we identify one of the most widespread obfuscation technique: the code reordering. We test our method on a real-world dataset composed by Android trusted and ransomware samples, obtaining encouraging results.

Country
Italy
Keywords

android, Formal Methods, Malware, obfuscation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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