DronLomaly: Runtime log-based anomaly detector for DJI drones
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...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| 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 |
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| Institution: | Singapore Management University |
| Language: | English |