MEGDroid: A Model-Driven Event Generation Framework for Dynamic Android Malware Analysis

Effective testing of Android apps using extended IFML models

(2019) Minxue Pan et al.   JOURNAL OF SYSTEMS AND SOFTWARE

CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains

(2018) Alejandro Martín et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Dynamic malware detection and phylogeny analysis using process mining

(2018) Mario Luca Bernardi et al.   International Journal of Information Security

A Novel Dynamic Android Malware Detection System With Ensemble Learning

(2018) Pengbin Feng et al.   IEEE Access

Combining Automated GUI Exploration of Android apps with Capture and Replay through Machine Learning

(2018) Domenico Amalfitano et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique

(2017) Yinxing Xue et al.   IEEE Transactions on Information Forensics and Security

Effective detection of android malware based on the usage of data flow APIs and machine learning

(2016) Songyang Wu et al.   INFORMATION AND SOFTWARE TECHNOLOGY

MoDisco: A model driven reverse engineering framework

(2014) Hugo Brunelière et al.   INFORMATION AND SOFTWARE TECHNOLOGY

ATL: A model transformation tool

(2008) Frédéric Jouault et al.   SCIENCE OF COMPUTER PROGRAMMING