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TriggerZoo: A Dataset of Android Applications Automatically Infected with Logic Bombs
Samhi, Jordan; Bissyande, Tegawendé François D Assise; Klein, Jacques
2022In 19th International Conference on Mining Software Repositories, Data Showcase, (MSR 2022)
Peer reviewed
 

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Keywords :
Dataset; Android Security; Logic bomb
Abstract :
[en] Many Android apps analyzers rely, among other techniques, on dynamic analysis to monitor their runtime behavior and detect potential security threats. However, malicious developers use subtle, though efficient, techniques to bypass dynamic analyzers. Logic bombs are examples of popular techniques where the malicious code is triggered only under specific circumstances, challenging comprehensive dynamic analyses. The research community has proposed various approaches and tools to detect logic bombs. Unfortunately, rigorous assessment and fair comparison of state-of-the-art techniques are impossible due to the lack of ground truth. In this paper, we present TriggerZoo, a new dataset of 406 Android apps containing logic bombs and benign trigger-based behavior that we release only to the research community using authenticated API. These apps are real-world apps from Google Play that have been automatically infected by our tool AndroBomb. The injected pieces of code implementing the logic bombs cover a large pallet of realistic logic bomb types that we have manually characterized from a set of real logic bombs. Researchers can exploit this dataset as ground truth to assess their approaches and provide comparisons against other tools.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Trustworthy Software Engineering (TruX)
Disciplines :
Computer science
Author, co-author :
Samhi, Jordan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
Bissyande, Tegawendé François D Assise  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
Klein, Jacques ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
External co-authors :
no
Language :
English
Title :
TriggerZoo: A Dataset of Android Applications Automatically Infected with Logic Bombs
Publication date :
23 May 2022
Event name :
19th International Conference on Mining Software Repositories, Data Showcase, (MSR 2022)
Event place :
Pittsburgh, United States
Event date :
From 23/05/2022 to 24/05/2022
Audience :
International
Main work title :
19th International Conference on Mining Software Repositories, Data Showcase, (MSR 2022)
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR14596679 - Dissecting Android Applications Using Static Analysis, 2020 (01/03/2020-31/10/2023) - Jordan Samhi
Funders :
FNR - Fonds National de la Recherche [LU]
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since 09 March 2022

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