DronLomaly: Runtime detection of anomalous drone behaviors via log analysis and deep learning

• Main Authors: SHAR, Lwin Khin, MINN, Wei, TA, Nguyen Binh Duong, FAN, Jianli, JIANG, Lingxiao, LIM, Daniel Wai Kiat
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Drone security; Anomaly detection; Log analysis; Deep learning; Numerical Analysis and Scientific Computing; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7545; https://ink.library.smu.edu.sg/context/sis_research/article/8548/viewcontent/Drone_Log_Anomaly_Detection_camera_ready.pdf
• Institution: Singapore Management University

Drones are increasingly popular and getting used in a variety of missions such as area surveillance, pipeline inspection, cinematography, etc. While the drone is conducting a mission, anomalies such as sensor fault, actuator fault, configuration errors, bugs in controller program, remote cyber- atta...