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Wei Minn
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Citované v
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Experimental comparison of features and classifiers for android malware detection
LK Shar, BF Demissie, M Ceccato, W Minn
Proceedings of the IEEE/ACM 7th international conference on mobile software …, 2020
132020
DronLomaly: runtime detection of anomalous drone behaviors via log analysis and deep learning
LK Shar, W Minn, NBD Ta, J Fan, L Jiang, DLW Kiat
2022 29th Asia-Pacific Software Engineering Conference (APSEC), 119-128, 2022
122022
SmartFuzz: An automated smart fuzzing approach for testing SmartThings apps
LK Shar, TNB Duong, L Jiang, D Lo, W Minn, GKY Yeo, E Kim
2020 27th Asia-Pacific Software Engineering Conference (APSEC), 365-374, 2020
32020
Shelving it rather than Ditching it: Dynamically Debloating DEX and Native Methods of Android Applications without APK Modification
Z Zhang, J Liu, F Thung, H Ma, R Li, YN Tun, W Minn, LK Shar, S Maoz, ...
arXiv preprint arXiv:2501.04963, 2025
2025
Fuzzing drones for anomaly detection: A systematic literature review
VK Malviya, W Minn, LK Shar, L Jiang
Computers & Security, 104157, 2024
2024
DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones
W Minn, YN Tun, LK Shar, L Jiang
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software …, 2024
2024
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