Search Results - "Minn, Wei"
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1
Fuzzing drones for anomaly detection: A systematic literature review
Published in Computers & security (01-01-2025)“…Drones, also referred to as Unmanned Aerial Vehicles (UAVs), are becoming popular today due to their uses in different fields and recent technological…”
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Journal Article -
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DronLomaly: Runtime Detection of Anomalous Drone Behaviors via Log Analysis and Deep Learning
Published in 2022 29th Asia-Pacific Software Engineering Conference (APSEC) (01-12-2022)“…Drones are increasingly popular and getting used in a variety of missions such as area surveillance, pipeline inspection, cinematography, etc. While the drone…”
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Conference Proceeding -
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SmartFuzz: An Automated Smart Fuzzing Approach for Testing SmartThings Apps
Published in 2020 27th Asia-Pacific Software Engineering Conference (APSEC) (01-12-2020)“…As IoT ecosystem has been fast-growing recently, there have been various security concerns of this new computing paradigm. Malicious IoT apps gaining access to…”
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Conference Proceeding -
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DronLomaly: Runtime Log-Based Anomaly Detector for DJI Drones
Published in 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (14-04-2024)“…We present an automated tool for realtime detection of anomalous behaviors while a DJI drone is executing a flight mission. The tool takes sensor data logged…”
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Conference Proceeding -
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Experimental Comparison of Features and Classifiers for Android Malware Detection
Published in 2020 IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems (MOBILESoft) (01-10-2020)“…Android platform has dominated the smart phone market for years now and, consequently, gained a lot of attention from attackers. Malicious apps (malware) pose…”
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Conference Proceeding