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Detection of Obfuscation Techniques in Android Applications

Bacci, Alessandro
•
Bartoli, Alberto
•
Martinelli, Fabio
altro
Mercaldo, Francesco
2018
  • conference object

Abstract
Current signature detection mechanisms can be easily evaded by malware writers by applying obfuscation techniques. Employing morphing code techniques, attackers are able to generate several variants of one malicious sample, making the corresponding signature obsolete. Considering that the signature definition is a laborious process manually performed by security analysts, in this paper we propose a method, exploiting static analysis and Machine Learning classification algorithms, to identify whether a mobile application is modified by means of one or more morphing techniques. We perform experiments on a real-world dataset of Android applications (morphed and original), obtaining encouraging results in the obfuscation technique(s) identification.
DOI
10.1145/3230833.3232823
WOS
WOS:000477981800113
Archivio
http://hdl.handle.net/11368/2928986
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85055246866
https://dl.acm.org/citation.cfm?id=3232823
Diritti
open access
FVG url
https://arts.units.it/request-item?handle=11368/2928986
Soggetti
  • Android

  • Malware

  • Machine learning

Scopus© citazioni
12
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
14
Data di acquisizione
Mar 28, 2024
Visualizzazioni
3
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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