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BRIDEMAID: An Hybrid Tool for Accurate Detection of Android Malware

This paper presents BRIDEMAID, a framework which exploits an approach static and dynamic for accurate detection of Android malware. The static analysis is based on n-grams matching, whilst the dynamic analysis is based on multi-level monitoring of device, app and user behavior. The framework has been tested against 2794 malicious apps reporting a detection accuracy of 99,7% and a negligible false positive rate, tested on a set of 10k genuine apps.
ACM Asia Conference on Computer and Communications Security (ASIACCS), Abu Dhabi, UAE, 2017

Autori IIT:

Tipo: Contributo in atti di convegno
Area di disciplina: Computer Science & Engineering

File: bridemaid-hybrid-tool.pdf

Attività: Sicurezza di dispositivi mobili