UnRocking Drones : Foundattions of Acoustic Injection Attacks and Recovery Thereof (NDSS2023)

Requirements

Requirements are specified in "requirements.txt"

$pip install -r requirements.txt

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Drone firmware

Our testbed is based on industry-leading opensource PX4 drone firmware.

Modified codes for acoustic injection tests

• Resonant sensor models are implanted in sensor driver.
• Attack parameters (induced frequency and attack amplitude) are connected to external commands.
• Mavlink module was modified to interface with the external commands.

Modified codes for implication analysis

• Additional logs : additional drone state variables, hardware timings are included.

Misc

• ROMFS (ROM Filesystem) file was revised to commnicate with inference computer.

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Automation Script

Iterative automated testing python code

Software-In-The-Loop(SITL) Automated Testing

• It provides software only testing.

$cd UnRocker_FW

$./UnRocker_Gyro_SITL.py or $./UnRocker_Accel_SITL.py

Hardware-In-The-Loop(HITL) Automated Testing

• Hardware related testing, so it requires the flight controller (FC).

$cd UnRocker_FW

$./UnRocker_Gyro_HITL.py or $./UnRocker_Accel_HITL.py

Automated Dataset Generation (HITL)

• Automated Dataset Generation is based on HITL mode.

$cd UnRocker_FW

$./UnRocker_TestsetGen_HITL.py

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UnRocker recovery

DAE design training

• Denoising AutoEncoder (DAE) is our core network.

$cd UnRocker_DAE_Gyro or $cd UnRokcer_DAE_Accel

$python3 train_conv_autoeoncoder.py

Dataset

• Automatically generated dataset from HITL.

Test Examples

• Basic testset : Quadcopter Iris and Solo.
• Drone flight test data
• Actual injection test data

$cd UnRocker_DAE_Gyro or $cd UnRokcer_DAE_Accel

$python3 train_conv_autoeoncoder.py

Realtime Inference

• Realtime inference code based on TensorRT

$cd UnRocker_DAE_Gyro or $cd UnRokcer_DAE_Accel

$python3 trt_inference.py

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Reference

Citation

@inproceedings{jeong2023unrocker,

title={UnRocking Drones : Foundattions of Acoustic Injection Attacks and Recovery Thereof},

author={Jeong, Jinseob and Kim, Dongkwan and Jang, Joonha and Noh, Juhwan and Song, Changhun and Kim, Yongdae},

booktitle={Network and Distributed Systems Security (NDSS) Symposium},

year={2023}

}

Webpage

https://sites.google.com/view/unrocker/

Contact

e-mail: jeongjinseob@gmail.com