Your-Smart-Home-Can-t-Keep-a-Secret-Towards-Automated-Fingerprinting-of-IoT-Traffic-with-Neural-Net

A implementation of Your Smart Home Can’t Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks

Run the code

1. Download the dataset from https://drive.google.com/drive/folders/1aQXlBKZaal8MgsrYx2hyanorwMZEKv6e and put it in the \dataset\processing_raw_data\data folder
2. run pcap2csv.py, extract_features.ipynb, Dataset.py to prepare the dataset
3. run demo/lstm.py to derive the result

Remain to do

1. Note that since the authors did not publish the noisy data, I haven't implement the Dataset-Noise version
2. With this framework, Random Forest& Bi-LSTM is easy
3. Modifying the Dataset.py to try different window size