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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"id": "YbyU8YKP5KOh"
},
"outputs": [],
"source": [
"# Capture to supress the download ouput\n",
"%%capture\n",
"!pip install datasets evaluate transformers;\n",
"!pip install huggingface_hub;\n",
"!pip install pandas;"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hzlMD2hyVrtD",
"outputId": "53ad9ba2-a64b-4bd8-eeca-4449035b0595"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Mounted at /content/drive\n"
]
}
],
"source": [
"# Load dataset with google drive\n",
"# We downloaded the dataset from kaggle and uploaded it to google drive, then used google colab to load\n",
"# It is possible to download it directly using the kaggle api\n",
"\n",
"# Link to dataset: https://www.kaggle.com/datasets/engraqeel/iot23preprocesseddata?resource=download\n",
"# Link to kaggle api docs: https://www.kaggle.com/docs/api#interacting-with-datasets\n",
"\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')\n",
"reduced_iot_path = \"/content/drive/MyDrive/PATH/TO/FILE/iot23_combined_new.csv\""
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"id": "9fLFeygkITnn"
},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"# Define Features\n",
"# ts\tuid\tid.orig_h\tid.orig_p\tid.resp_h\tid.resp_p\tproto\tservice\tduration\torig_bytes\tresp_bytes\tconn_state\tlocal_orig\tlocal_resp\tmissed_bytes\thistory\torig_pkts\torig_ip_bytes\tresp_pkts\tresp_ip_bytes\tlabel\n",
"# https://docs.zeek.org/en/master/scripts/base/protocols/conn/main.zeek.html#type-Conn::Info\n",
"\n",
"pandas_features = {\n",
" 'id.orig_p': int,\n",
" 'id.resp_p': int,\n",
" 'proto': str,\n",
" 'service': str,\n",
" 'duration': float,\n",
" 'orig_bytes': pd.Int64Dtype(),\n",
" 'resp_bytes': pd.Int64Dtype(),\n",
" 'conn_state': str,\n",
" 'missed_bytes': pd.Int64Dtype(),\n",
" 'history': str,\n",
" 'orig_pkts': pd.Int64Dtype(),\n",
" 'orig_ip_bytes': pd.Int64Dtype(),\n",
" 'resp_pkts': pd.Int64Dtype(),\n",
" 'resp_ip_bytes': pd.Int64Dtype(),\n",
" 'label': str\n",
"}\n",
"\n",
"all_column_names = ['ts', 'uid', 'id.orig_h', 'id.orig_p', 'id.resp_h', 'id.resp_p', 'proto', 'service', 'duration', 'orig_bytes', 'resp_bytes', 'conn_state', 'local_orig', 'local_resp', 'missed_bytes', 'history', 'orig_pkts', 'orig_ip_bytes', 'resp_pkts', 'resp_ip_bytes', 'label'];\n",
"important_column_names = ['id.resp_p', 'proto', 'conn_state', 'orig_pkts', 'orig_ip_bytes', 'resp_ip_bytes', 'label'];\n",
"exclude_column_names = ['ts','uid','id.orig_h', 'id.resp_h', 'local_orig', 'local_resp']\n",
"\n",
"column_names = [column for column in all_column_names if column not in exclude_column_names]"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"id": "Zll2DOeT9yv2"
},
"outputs": [],
"source": [
"# Load dataset with Pandas\n",
"from datasets import Dataset\n",
"import pandas as pd\n",
"reduced_iot_dataset_pandas = pd.read_csv(reduced_iot_path, usecols=column_names, na_values=['-'], dtype=pandas_features)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"id": "SUb01Eg7I7wS"
},
"outputs": [],
"source": [
"# Remove Duplicates\n",
"reduced_iot_dataset_pandas = reduced_iot_dataset_pandas.drop_duplicates()"
]
},
{
"cell_type": "code",
"source": [
"# Make label Benign / Malicious\n",
"reduced_iot_dataset_pandas['label'] = reduced_iot_dataset_pandas['label'].apply(lambda x: \"Benign\" if x == \"Benign\" else \"Malicious\")"
],
"metadata": {
"id": "M06Rb8fj2fzk"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xamjYrWbgxkf",
"outputId": "1ddb22b6-98ab-44b4-83e1-b995e8c1ea4a"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"orig_bytes\n",
"0 564771\n",
"<NA> 241092\n",
"48 2121\n",
"29 1463\n",
"45 1348\n",
" ... \n",
"1088 1\n",
"1093 1\n",
"1094 1\n",
"1104 1\n",
"770 1\n",
"Length: 431, dtype: int64"
]
},
"metadata": {},
"execution_count": 8
}
],
"source": [
"# Test distribution of data\n",
"reduced_iot_dataset_pandas.value_counts('orig_bytes', dropna=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Js3KG0xNvwpf"
},
"outputs": [],
"source": [
"# Final step: convert to hugging face dataset\n",
"reduced_iot_dataset = Dataset.from_pandas(reduced_iot_dataset_pandas).remove_columns(\"__index_level_0__\")"
]
},
{
"cell_type": "code",
"source": [
"# Test distribution of data again\n",
"reduced_iot_dataset.to_pandas().value_counts('orig_bytes', dropna=False)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "pOxVs7H-0-3k",
"outputId": "dcd084dd-3369-4d8e-91ca-c9fbfc1636f0"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"orig_bytes\n",
"0.0 564771\n",
"NaN 241092\n",
"48.0 2121\n",
"29.0 1463\n",
"45.0 1348\n",
" ... \n",
"1088.0 1\n",
"1093.0 1\n",
"1094.0 1\n",
"1104.0 1\n",
"770.0 1\n",
"Length: 431, dtype: int64"
]
},
"metadata": {},
"execution_count": 12
}
]
},
{
"cell_type": "code",
"source": [
"# Authenticate hugging face\n",
"!huggingface-cli login"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "pq6DF3Z8wdmF",
"outputId": "aaf5e476-96ce-4edc-d65c-858a7e4e52ec"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
" _| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|\n",
" _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
" _|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_|\n",
" _| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
" _| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_|\n",
" \n",
" A token is already saved on your machine. Run `huggingface-cli whoami` to get more information or `huggingface-cli logout` if you want to log out.\n",
" Setting a new token will erase the existing one.\n",
" To login, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .\n",
"Token: \n",
"Add token as git credential? (Y/n) Y\n",
"Token is valid (permission: write).\n",
"Your token has been saved in your configured git credential helpers (store).\n",
"Your token has been saved to /root/.cache/huggingface/token\n",
"Login successful\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Push to the hugging face hub\n",
"reduced_iot_dataset.push_to_hub(\"19kmunz/iot-23-preprocessed-allcolumns\")"
],
"metadata": {
"id": "Nz5RwnjxwnwY"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Test loading the data set\n",
"from datasets import load_dataset\n",
"pulledDataSet= load_dataset(\"19kmunz/iot-23-preprocessed\", download_mode=\"force_redownload\")"
],
"metadata": {
"id": "6rMEA58Pzlyx"
},
"execution_count": null,
"outputs": []
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
} |