Skip to content

Latest commit

 

History

History
12 lines (9 loc) · 1022 Bytes

README.md

File metadata and controls

12 lines (9 loc) · 1022 Bytes

Study and Evaluation of Classifiers for Detecting Threats to IoT Devices based on Network Traffic

IoT-23 Dataset

Sebastian Garcia, Agustin Parmisano, & Maria Jose Erquiaga. (2020). IoT-23: A labeled dataset with malicious and benign IoT network traffic (Version 1.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4743746

Setup

  1. If you plan to use TensorFlow with GPU, follow these steps.
  2. conda create -n "tf" python=3.9
  3. conda activate tf
  4. pip install numpy pandas tensorflow autokeras matplotlib pydot pydotplus graphviz plotly optuna scikit-learn-intelex xgboost hpsklearn hyperopt catboost lightgbm imblearn pytorch_tabnet scikit-elcs

Note: for process-based parallelization, the package mysqlclient must be installed too.