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MET 2021
Wed 2 Jun 2021
co-located with ICSE 2021
Wed 2 Jun 2021 16:10 - 16:40 at MET Room - Session 3: Safety and Security and Simulation Chair(s): Xiaoyuan Xie

Mobile malware detection systems are often vulnerable to evasion attacks, in which a malware developer manipulates a malware sample such that it is misclassified as benign. These samples are manipulated to hide some characteristics or adopt the properties of a different class by applying small but intentionally crafted perturbations. In this paper, we propose a novel mobile malware detection system, based on metamorphic testing principles, that can detect benign-looking evasive malware apps. The key idea is to expose the malicious nature of the apps by unraveling the evasive techniques employed by malware. We observed that evasive malware exhibit characteristics of benign apps, and by eliminating these features, the classifier can correctly detect the malware without compromising significantly on benign app detection. The training pipeline of our proposed system is much simpler than existing malware detection methods, as the network is trained end-to-end to jointly learn appropriate features and to perform classification. We train our model on 3.2 million apps collected from the AndroZoo dataset. We perform an extensive study on publicly available datasets and malware samples collected from the wild to show the effectiveness of the proposed technique. In particular, we show that our algorithm is capable of detecting repackaged malware with more than 94% accuracy.

Conference Day
Wed 2 Jun

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

16:10 - 17:30
Session 3: Safety and Security and SimulationMET 2021 at MET Room
Chair(s): Xiaoyuan XieSchool of Computer Science, Wuhan University, China
16:10
30m
Long-paper
Metamorphic Detection of Repackaged Malware
MET 2021
Shirish SinghColumbia University, Gail KaiserColumbia University
16:40
20m
Short-paper
Metamorphic Testing on the Continuum of Verification and Validation of Simulation Models
MET 2021
M S RaunakNational Institute of Standards and Technology, Megan OlsenLoyola University Maryland
17:00
30m
Long-paper
Metamorphic Testing for Image-based Calcium Imaging Analysis Pipelines
MET 2021
Madeline DiepFraunhofer USA CESE, Rohan Reddy MekalaFraunhofer USA CESE, Ujjwal AyyangarFraunhofer USA CESE, Gudjon MagnussonFraunhofer USA CESE, Adam PorterFraunhofer USA CESE, Wolfgang LosertUniversity of Maryland, Mikael LindvallFraunhofer USA CESE

Information for Participants