[en] The deluge of Android apps from third-party developers calls for sophisticated security testing and analysis techniques to inspect suspicious apps without accessing their source code. Code coverage is an important metric used in these techniques to evaluate their effectiveness, and even as a fitness function to help achieving better results in evolutionary and fuzzy approaches. Yet, so far there are no reliable tools for measuring fine-grained bytecode coverage of Android apps. In this work we present ACVTool that instruments Android apps and measures the smali code coverage at the level of classes, methods, and instructions. Tool repository: https://github.com/pilgun/acvtool
Research center :
- Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other
Disciplines :
Computer science
Author, co-author :
Pilgun, Aleksandr ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Gadyatskaya, Olga ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Dashevskyi, Stanislav ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Zhauniarovich, Yury; Hamad Bin Khalifa University - HBKU > Qatar Computing Research Institute
Kushniarou, Artsiom; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
DEMO: An Effective Android Code Coverage Tool
Publication date :
15 October 2018
Event name :
Conference on Computer and Communications Security
Event date :
from 15-10-2018 to 19-10-2018
Audience :
International
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR11289380 - Systematically Exploring Semantic App Models For Android, 2016 (15/11/2016-14/11/2020) - Aleksandr Pilgun
