DronLomaly: Runtime log-based anomaly detector for DJI drones

• Main Authors: MINN, Wei, YAN, Naing Tun, SHAR, Lwin Khin, JIANG, Lingxiao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: anomaly detection; deep learning; Drone security; log analysis; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8887; https://ink.library.smu.edu.sg/context/sis_research/article/9890/viewcontent/3639478.3640042_pvoa_cc_by.pdf
• Institution: Singapore Management University

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 by drone at fixed time intervals and performs anomaly detection using a Bi-LSTM model. The model is trained on baseline flight logs from a suc...