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Malware detection of IoT binaries, and the performances when using RNN or CNN. Work done as an Informal project while studying at BITS.

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Temporal-Dynamics-and-Spatial-Content-in-IoT-Malware-Detection

This contains the source code for the paper "Temporal-Dynamics-and-Spatial-Content-in-IoT-Malware-Detection".

The link to the paper is https://doi.org/10.1109/TENCON.2019.8929496

Run

Clone the repository. To run the model, you need to execute the following command:

python3 rnn.py

or

python3 tl.py

or

python3 cnn.py

This should allow your model to train on new examples. Or you could modify the code to predict for your own iot binaries.

Requirements

  • Python 3.6
  • keras : pip install keras
  • numpy : pip install numpy

System Used

  1. CPU: Intel(R) Xeon(R) CPU @ 2.30GHz
  2. GPU: 1xTesla K80 , having 2496 CUDA cores, compute 3.7, 12GB(11.439GB Usable) GDDR5 VRAM
  3. RAM: 12.6GB

Acknowledgements

I would like to thank Dr. Nguyen and Dr. Geethakumari for giving me the opportunity to work on this project!

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Malware detection of IoT binaries, and the performances when using RNN or CNN. Work done as an Informal project while studying at BITS.

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