{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "41d633f0",
   "metadata": {},
   "source": [
    "**Author:** Dr. Mallarapu  \n",
    "**Created:** 2026-07-27  \n",
    "**Course:** SEAS 8414 \u2014 Security Analytics\n",
    "\n",
    "---\n",
    "\n",
    "### Goal of this notebook\n",
    "\n",
    "Train and audit detectors on a full week of CIC-IDS2017 enterprise traffic, then grade the score.\n",
    "\n",
    "### What you will learn\n",
    "\n",
    "1. Read a majority-class baseline before trusting any accuracy figure.\n",
    "2. Find the strongest single feature, then test it by dropping it and refitting.\n",
    "3. Tell duplicate inflation apart from genuine signal.\n",
    "4. Report per-group recall, because the rare classes carry the risk.\n",
    "\n",
    "### Where this connects to the course text\n",
    "\n",
    "The text builds a defence pipeline; this notebook trains a classifier and audits it. The links below are to specific chapter objectives that share an *analytic move*, not to matching subject matter.\n",
    "\n",
    "- **Chapter 3: Vulnerability Assessment** \u2014 Learning objective 1 (section 3.1) frames assessment as **evidence grading**, not output collection. The A-F data-trust grade in section 10 is exactly that move, applied to a model score.\n",
    "Section **11.1.2**, titled *Proved, tested, and hoped*, asks you to separate exactly those three. (Chapter 11 lists its objectives in \u00a711.0, not \u00a711.1 as the other chapters do.)\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8356490",
   "metadata": {},
   "source": [
    "# Network Intrusion Detection on CIC-IDS2017\n",
    "### Model comparison + validity audit on CIC-IDS2017 (\u22651M records, via Kaggle)\n",
    "\n",
    "**Abstract:** CIC-IDS2017 (Sharafaldin et al., 2018) is a widely-used flow IDS corpus covering a week of enterprise traffic and staged attacks. The combined daily captures load here as **2,830,743 flows** at a **0.1970** attack rate. We combine the daily captures, compare four learners on a stratified subsample, and run a validity audit. The audit covers best single-feature AUC, exact-duplicate rate, train/test exact-row overlap, and a retrain-after-ablation check.\n",
    "\n",
    "**What this notebook does not do:** It runs on the **original published labels and the original CICFlowMeter features**. It does **not** apply, reproduce, or test the label and flow-extractor corrections of Engelen et al. (2021) or Rosay et al. (2022). Those papers are cited here as a standing limit on every number below \u2014 a known defect in the input that we did not remove. They are not cited as a critique this notebook carries out."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e09aaa0f",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Classify CICFlowMeter flows across a week (brute force, DoS, DDoS, web attacks, infiltration, botnet, port scan) as benign or attack. CIC-IDS2017 is a NIDS staple \u2014 and a documented cautionary tale about CICFlowMeter feature bugs and labeling errors."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a012ba9",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **Sharafaldin, Lashkari & Ghorbani (2018)** \u2014 the CIC-IDS2017/2018 dataset paper; realistic profiled benign traffic plus a labeled attack schedule, with 80 CICFlowMeter flow features.\n",
    "- **Engelen, Rimmer & Joosen (2021)** \u2014 *Troubleshooting an Intrusion Detection Dataset: the CICIDS2017 Case Study* \u2014 found labeling errors and CICFlowMeter feature bugs that inflate scores.\n",
    "- **Rosay, Cheval, Carlier & Leroux (2022)** \u2014 *Network Intrusion Detection: A Comprehensive Analysis of CIC-IDS2017* (ICISSP): documents CICFlowMeter implementation flaws affecting these flow features.\n",
    "- **Sommer & Paxson (2010)** \u2014 closed-world ML scores rarely survive deployment.\n",
    "- **Apruzzese et al. (2023)** \u2014 *The Role of Machine Learning in Cybersecurity* (ACM DTRAP): a survey of where ML is and is not actually deployed in security practice. Cited for that framing, not as a study of dataset shortcuts.\n",
    "\n",
    "**Related approaches and their known caveats** \u2014 drawn from the wider literature; these are **not** measurements reproduced on this exact corpus:\n",
    "\n",
    "| Reported approach | Known caveat |\n",
    "|---|---|\n",
    "| Sharafaldin et al. (2018) \u2014 RF on CIC-IDS2017/18 | in-distribution; CICFlowMeter features later shown buggy |\n",
    "| Engelen et al. (2021) \u2014 re-labeled CICIDS2017 | original labels/features partly wrong |\n",
    "| Typical DL-NIDS papers | benign-majority base rate inflates accuracy; per-family recall varies |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87748047",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `chethuhn/network-intrusion-dataset` (CIC-IDS2017) |\n",
    "| Rows | ~2.8M flows (8 daily CSVs combined) |\n",
    "| Label | `Label` = BENIGN / attack families |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly:** CICFlowMeter feature bugs and label errors in these exact files are documented (Engelen et al., 2021; Rosay et al., 2022). We load the **original** Kaggle CSVs, not either group's corrected re-release. Those defects are therefore present in our features and labels. They are nowhere corrected, measured, or worked around in this notebook. What we do control for is narrower: ID/timestamp-like columns are dropped, and we report per-family recall rather than accuracy alone.\n",
    "\n",
    "### Before you run this: getting the data\n",
    "\n",
    "This notebook downloads its own data on the first run, then caches it. You do not fetch anything by hand.\n",
    "\n",
    "**Dataset:** Kaggle `chethuhn/network-intrusion-dataset` -> `/tmp/kg_network-intrusion-dataset`. It is about **844 MB** on disk.\n",
    "\n",
    "**One-time setup.** Sign in at kaggle.com, open **Settings**, and under **API** choose **Create New Token**. Kaggle hands you a `kaggle.json` file. This notebook does *not* read that file. It reads a plain key file, so convert it once:\n",
    "\n",
    "```bash\n",
    "mkdir -p ~/.kaggle\n",
    "python3 -c \"import json;print(json.load(open('kaggle.json'))['key'],end='')\" > ~/.kaggle/access_token\n",
    "chmod 600 ~/.kaggle/access_token\n",
    "```\n",
    "\n",
    "Never paste the token into a cell, a commit, or a screenshot. If it leaks, revoke it from the same Settings page.\n",
    "\n",
    "**If the loader fails:**\n",
    "\n",
    "- `FileNotFoundError: ~/.kaggle/access_token` - you created `kaggle.json` but not the key file. Run the command above.\n",
    "- `401 Unauthorized` - the key is wrong, or a trailing newline crept in.\n",
    "- `403 Forbidden` - open the dataset page on Kaggle while signed in, accept its terms, then re-run the cell.\n",
    "\n",
    "The cache sits under `/tmp`, which macOS clears on reboot. To keep it, move the folder somewhere durable and symlink it back. Do **not** edit the path in the code cell below: that changes a code cell and invalidates the stored outputs you are reviewing."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e918066e",
   "metadata": {},
   "source": [
    "## 4. Solution design\n",
    "\n",
    "The methodology is deliberately two-track. We *earn* a headline score with standard modelling, then *interrogate* it with a validity audit. Only a verdict that survives both is reported. The diagram below is the shape of every notebook in this series."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53fe2ed1",
   "metadata": {},
   "source": [
    "**Figure 4.1 \u2014 Solution design (methodology).**\n",
    "\n",
    "<img 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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 4.1 \u2014 Solution design (methodology).\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e345af3",
   "metadata": {},
   "source": [
    "## 5. Implementation architecture\n",
    "\n",
    "Five stages \u2014 ingestion, preprocessing, modelling, evaluation, and a parallel validity-audit path \u2014 feed a single graded results ledger. Leakage defences (dropping label-derived and identifier columns) live in preprocessing, before any model sees the data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6602050a",
   "metadata": {},
   "source": [
    "**Figure 5.1 \u2014 Implementation architecture.**\n",
    "\n",
    "<img 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J6NVMo865+e5Jnq8Q4f2mft79+40lTZaqeOontFbR3C3a9d28zP0YNClVU86xOvmzdDvqWzZdx56TH//taa3kVb0OGaZ0tfq0KyQy7Rp4wUAAFdGpQwAADYpX76K/PXXQhkzZpDkzl3AfMF20GEfWsHQuHFr64t4IdN3RvtyOBQoUNQEMlpNocObLl4MkCVL5pmhK56eniZI0IqI336bZYbCeHl5yc8/TzVVFJkzZ3vo+dy8ecNU8Gh/El1CSpo0uYTH1auXzW3I/jhPy1FNMWRIb7OE9LheOJGdDjnTvitNm7aVp/U810QDl19+mW7uayhTqFBxK2xzt372Fph1Gsq8804tc9/x+WllVkixYt2vdDl//kyoKikdDvcwGiApHTrmED16dGcFloNWeAEA4MoIZQAAsIGj6Wn79r1NI9X+/btYX7YnmMoUHXq0Zs1y+eij5mZI0sPol9kWLdrL4ME9nQ1hs2bNaQU0nZzbdO7c39p3DdOsVWllhTYU1h4gD6NDTPQ5DXwe7NHiqP54koQJE5tbbfD6wcnlMwAAEABJREFUrHRIjNL3nyVLjlDPaaj0qtKhSxqO+fpmf+rXPs818fPLIQEBI8xnorNz1a/f3Pz8jR07xKzTYVaOShnHcR4cZnTt2v3PM3bs8IVtRYqUNAGOBkjaqyZevPhmfbZsuQQAAPyHUAYAABtpiKGVE/rlVZvnan+ZS5cCzHPaZNfBMdQkpDlzpssHH3wi9eo1fui+5837yTRr1aav4ZU1ay4zg8/D+rQoHeKkM+6kTZv+oY1bddiQ9gnRAKJkybfkWaRJk97s4+7dO488D6UVQY5hWk/DETDpe3EICDgvL9vj+sk8yfNckwwZfM1npTN66dAr7SOjbt++LStWLDHP6TaO42iVzI4dm00PGgedTUorr56mAqpFiw7SpElNM+OXNqIGAABh0VMGAACblStX2cy0pNNZHz16yAwP0YqVRYvmypYtG2Tu3Bkye/YUs23I6anPnz9repToLE5bt260wpIjztmZlAYNJ08eM9Mi6/PaE0R71Tg4hp5oo1gdWqO0z432hRk7dph5jQ6v0umg9b560uxLet61atWX33//2exDGxJrNc833wyS8HLsQ9/zggVzzLFnz55qpoLW2YMcfHwymaBDr5EGDuGloUjKlGms97nFXC+9Ljpb08v2uH4yT/I810Rfq6GL/jxpLxkNbnTRXi/az0jDFkf1lN5q3yCtvho/foRpajxoUA9z7vXqNXnieToqwPRWA5zPP+8hmzatNT8PAAAgLCplAACIBPTLa8OG1aRv305miuvevYfJhAkjzbTWGtL06TPS+qK93kypbEUn5jU6lfaIEX2dgYnSKoiBA78z0zLXrPmhdOv2mdmng1ZB9Os32jTv1WEwOuRp3Lhh5jmt0tHHWtWg6377baYZ8qTNZVOlut/s9kmzLyn9Uq/Nhhcv/tX6cj9LMmXKYip6nobuQ7/Yz5o12VTupEiR2gqvqoTqdaLThWtI1KlTC4kbN76pCgqvjh2/kpEj+0mFCgXM9OD6+NNPP5SX5Xn6yTg86zXR2bT089agRWdVctAAZ8mS36RixWphjqM0xNEQSPvCaMPeB2deCg9tCF2yZDkTeuXLVyRU3yQAACDiJgCACDFnTrETpUv3Te7tnUJgnwndg6Rcg7QS3dtDXic6FOd+M+AWVtBQ1UzRHJJ+mddeNQMGdDGByZgxPwoijlYMDRjQ1Qo5lj3T8CW8HHOHHZQ67dwkZhwBALzmAgL2y8qVffZWrboys0QiDF8CAOAVNGxYH/n991+cj3U4ijZRTZo0helJo7MujRzZ3/m89g1JlSqNmXkp5HAXRAztY6MzHBHIAACAkBi+BADAK8jT00tmz/7BNAp29APRYUxHjhyU995rIB4enmb4kDaWdUw7rLPsLFu2SIoXLyuIWAUKvGEWAACAkAhlAAB4BTVs2MpMW9ynT3vTvFenRdbGrb16DZVChYqZbU6cOCrffXd/2mPtC6IzJumUyg/2EAEAAIA9CGUAAHgFRY8eXTp27PPYbbRiRhcAAABETvSUAQAAAAAAsAGhDAAAAAAAgA0IZQAAAAAAAGxAKAMAAAAAAGADQhkAAAAAAAAbEMoAAODCLlw4J3Pm/GjdnpfIbtWqv2Tt2r8FAADgdUEoAwCAC/v995/l22+/lgULfpHILCgoSL78sr306NFGIgO9bkePHhIAAIDn4SkAAMBllS//rrmtUOHdp3qdhiQnThyVpElTiJeXl7xs7u7u0q5dT3MbGUya9I2ULVtJmjQJf0h0584dOX36hKROnU4i2tmzpyVKlKgSN248AQAAkQeVMgAAuLDEiZPKhx82lYQJEz/V6xYt+lUaNaohV65cloiiIUjp0hXlVTVkSG/p1audRLTjx4/KBx9Uks2b1wkAAIhcCGUAAAAAAABswPAlAABc2Pbtm6Vdu8YyePA4yZ49t1nXoUMzSZUqrcSOHUeWLp0v169fk1Klyssnn3wuUaJEkY8/fldOnjxutn3//fLmdt681RI1alTz2jRpfCRjRj/58ccJki5dRunWbaCMGTNYVqxYIjNmLHEeu2fPtnLu3BkZPXqqeXzs2BHr/gA5eHCvBAYGio9PRnn33fekaNE3neelBgwY49zHoUP7Zdq0cbJjx2YzpCp79jzy2WddzLk7POn9PMnly5fM+W/a9I/EiuUtVau+H2ablSv/MPs+cuSAqR7KmjWnfPRRC+s6+JqhQ1qp4lCuXD7x88suw4ZNlFu3bpn3fOzYYeu97JP48ROac6tXr4lzqNbatStl+vQJ1r4PSsyYscy1rV+/mbk+KiDggowfP1w2blwjHh4eUrBgcWnZsoN4enqa6pzFi+eZ7fr372qWPn1GSP78RQQAANiPUAYAAISxePGvkjNnPvnyy+GmoW2/fp0lWbKUUqNGPWnf/kv5++8/5eefp0qXLv0lXrwEJpBx2LZtk6xevcwKb1pIokRJw33MMWMGWQHGKRNmxIgRU/75Z4UVNPzjDGUepOFKp07NJW7c+NKwYSsr4LhphRfjpXPnFjJy5BRxc3ML1/t5kgEDusquXdulbt3GZpjX0qW/hRm2pfvSoOPtt6uZ89LGyX37dpQJE34x5zdw4LdWSPW9HD9+RL74opcVEMU1r4sWLZoJWXLkyGvWaSA1efIYsz8drnXjxnUTrGTI4Ctt2/awjntJli9fLAcO7HGGMr16tZXDhw9IrVr1TWgzdepY0+enRYv2UrPmh2bfgwb1sAK0hpIrV37reFkEAABEDoQyAAAgjCRJkkvPnkNMtUXatOlN2LFv3y7znFZ5aIWKypo1lyRIkDDUa/W54cMnia9vNnkauv9ChYpLxYpVzeOSJd967Pbz58824cjo0dOsc0hk1mkT3fbtm5pAp0iRkuF6P+ratauh9q0VMergwX2yadNa+fTTjlKpUg2zTs+xVq3SobbXihhdHDQc6dHjc9MMWat0NBBauHCuqQzS+yFVrlzLeb9gwaIm0NKqFw1lzpw5ZSp1tHqmePEyZhvHeaitWzfJ7t07Qp2fVtsMGtTdVNPosd3c3J3X5sFjAwAAexHKAACAMDTk0ADDIWrUaHL79q1wvVZDj6cNZFThwiVk2bJF5tjFipWR9OkzPXZ7DUs0dHAEMkqHL6kdO7aECmUe935u3rwp1auXCrVvbX5ct24jU/WjQoYZWt2irw9JZ1bSYVR///2HGdoVHBxs1muly5NoqPL996Nk//7dpspGxY+fwNzqULAUKVKZ6hkNjooVKx2qKfPWrRvMbb58/w1H0muv56P708oYAAAQeRHKAACAF0qH6zyLpk3bmYoWnSVoxoyJpiKnefP2oSpQQrp69bKpSAlJ+7Bolcv582ckvKJHjy5ffz0+1DqdlUo5KmhixIj12H3ocCgNQRo3bi158xYyQUvnzi3lSfbu3SVt2zaSChWqmh43GkR9/nlDCfl++vQZKb/+OsMMwRo7dqgUL15WmjVrZ6a3doQ49etXDrNv7WUDAAAiN0IZAAAQKcSIEcNUp+iiw3a++qqjdO/eWqZNW+BsehtSokRJ5PTpk6HWabNfDSocPVvCK1u2XA9dHy/e/YDpxo1rYYZpOeiU02vWLJePPmruHGIUXr/8Ms1U3TRp0uaRTYeTJ09pQhilFUDaQ0b773Tq1NdZNdO79zBTwRNSypRpBQAARG5MiQ0AAJ6azvKjgoLuhWv7KFGimhmVQgoIOP/I7ZMkSSYlS5Yz21y8eOGh2/j55TCNcy9eDHCu277d3wwdypOnoLwImTJlNbcHDux1rrt3716o93LpUsD/zzm5c5024n2QDp968Hrpa7UHjCOQ0eFO2ofmUTQ8ypYtt+zbt/v/j+/PmKWNlnWIVcjFESI5hm3peQMAgMiFShkAAPDUfHzu93tZsuQ3M3uQVq2kS5fhMdtnlKtXr5ipn+PEiSdz5kyXw4f3S6pU6czzGqzoMB5toqvBg4eHp2nkq68L2TMmpCpV6phhPV26tJTq1euZoUYzZnxvzkf707wIOnRKz2fWrMlmaFHixMlk5Mh+cufObec22tdGq1QWLZpresHoTEizZ08xz2llS+bM94MdnR78jz9+N4187969KwUKFDWzKm3evN5cRx2KtXDhHDNNtu5DmxjrNNkjRvSTMmXeNttqiLNhw2p5++3qZp86xEtnfRo69Esz/Mkxa5Ve5759R5lttJpGpwPXqbX1c9Jw5kWFVgAA4PkQygAAgKemYUXTpm3lp58mmkBFZ/p5XCijVS9a3dGmTQO5efOGmSmoWrW6VsCwxjyvw4Q6dPhSfvttlgwf/pUZ0lOwYDEzDfWj6HCnoUMnyrBhfWT06IFm2JI2tu3Y8atQ02E/ry5dBphpsZs1e0+8vKKYqaY1UHKIEyeuGT40YcJI6dGjjQlptA/Mli3rZdeubdYWdc1277xTU44ePSgDB3Yzw6x0Nqh69ZqY6zF+/HATROnwJw1X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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 5.1 \u2014 Implementation architecture.\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74cb6ab8",
   "metadata": {},
   "source": [
    "## 6. Data acquisition & preparation\n",
    "\n",
    "Every line below is commented so a student can re-run and modify each step. The cell ends by producing the standard analysis variables: `df`, `X` (clean numeric features), `y` (binary label), `feat` (feature names), and `family`. `family` is the per-group label used for the recall breakdown. It is an attack family on the intrusion corpora, but a transaction type, merchant category or malware category on the fraud/malware ones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6a883971",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import time, warnings; warnings.filterwarnings('ignore')   # keep output clean\n",
    "import numpy as np, pandas as pd                            # numerics + dataframes\n",
    "import matplotlib.pyplot as plt                             # static plots (embed in HTML+PDF)\n",
    "plt.rcParams['figure.dpi'] = 120                            # crisp figures\n",
    "RANDOM_STATE = 0                                            # single seed used everywhere\n",
    "np.random.seed(RANDOM_STATE)                                # reproducible sampling\n",
    "NEG_WORD, POS_WORD = 'benign', 'attack'                      # class names (overridden by some loaders)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "60cfe962",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 2,830,743 rows x 70 features; positive rate 0.1970\n"
     ]
    }
   ],
   "source": [
    "import os, glob\n",
    "# Kaggle auth: token read from ~/.kaggle/access_token (students supply their own).\n",
    "os.environ.setdefault('KAGGLE_KEY', open(os.path.expanduser('~/.kaggle/access_token')).read().strip())\n",
    "import kaggle; kaggle.api.authenticate()\n",
    "REF = 'chethuhn/network-intrusion-dataset'; DEST = '/tmp/kg_' + REF.split('/')[-1]\n",
    "if not os.path.exists(DEST):                                   # download + unzip once (cached)\n",
    "    kaggle.api.dataset_download_files(REF, path=DEST, unzip=True, quiet=True)\n",
    "NROWS = 1_500_000                                              # per-file read cap (memory bound)\n",
    "files = sorted(glob.glob(DEST + '/**/*.csv', recursive=True))\n",
    "df = pd.concat([pd.read_csv(f, low_memory=False, nrows=NROWS) for f in files], ignore_index=True)  # combine day/part files\n",
    "df.columns = [str(c).strip() for c in df.columns]             # strip header whitespace\n",
    "LABEL = 'Label'; FAMILY = 'Label'\n",
    "df['y'] = (df[LABEL].astype(str).str.strip().str.lower() != 'benign').astype(int)  # benign=0\n",
    "df['family'] = df[FAMILY].astype(str).str.strip()             # descriptive attack family\n",
    "df = df.reset_index(drop=True)\n",
    "assert len(df) >= 1_000_000, f'floor not met: {len(df):,}'    # honesty gate: >= 1M rows\n",
    "DROP = list({LABEL, FAMILY, 'y', 'family'} | set([]))  # never leak label cols\n",
    "feat = [c for c in df.columns if c not in DROP]\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "X = df[feat].copy()\n",
    "idlike = [c for c in X.select_dtypes(include='object').columns if X[c].nunique() > 0.5*len(X)]\n",
    "X = X.drop(columns=idlike)                                     # drop ID/timestamp-like leaky columns\n",
    "for c in X.select_dtypes(include='object').columns:           # encode remaining categoricals\n",
    "    X[c] = LabelEncoder().fit_transform(X[c].astype(str))\n",
    "X = X.apply(pd.to_numeric, errors='coerce').replace([np.inf,-np.inf],np.nan).fillna(0.0)\n",
    "X = X.clip(-1e15, 1e15)                                        # clip huge NetFlow counts (float32-safe)\n",
    "X = X.loc[:, X.nunique() > 1]                                  # drop constants\n",
    "import re                                                      # LightGBM rejects special chars in names\n",
    "_seen, _cols = {}, []\n",
    "for _c in X.columns:                                           # sanitize to unique, safe names\n",
    "    _c = re.sub(r'[^0-9A-Za-z_]+', '_', str(_c)).strip('_') or 'f'\n",
    "    _seen[_c] = _seen.get(_c, -1) + 1\n",
    "    _cols.append(_c if _seen[_c] == 0 else f'{_c}_{_seen[_c]}')\n",
    "X.columns = _cols; feat = list(X.columns)\n",
    "y = df['y'].to_numpy()                                         # STANDARD CONTRACT\n",
    "NEG_WORD, POS_WORD = 'benign', 'attack'               # class names for plots\n",
    "print(f'loaded {len(df):,} rows x {len(feat)} features; positive rate {y.mean():.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "120bccde",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a4a37cc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1320x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- EDA 1: class balance and the attack-family mix ---\n",
    "fig, ax = plt.subplots(1, 2, figsize=(11, 4))\n",
    "df['y'].map({0:NEG_WORD,1:POS_WORD}).value_counts().plot.bar(               # counts per class\n",
    "    ax=ax[0], color=['#2a9d8f','#e76f51']); ax[0].set_yscale('log')\n",
    "ax[0].set_title(f'Class balance ({NEG_WORD} vs {POS_WORD})'); ax[0].set_ylabel('records (log)')\n",
    "df.loc[df.y==1,'family'].value_counts().head(8).plot.barh(                  # top attack families\n",
    "    ax=ax[1], color='#e76f51'); ax[1].invert_yaxis(); ax[1].set_title('Top attack families')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "103fd3d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- EDA 2: feature correlation + a 2-D PCA projection ---\n",
    "from sklearn.preprocessing import StandardScaler                 # scale before PCA\n",
    "from sklearn.decomposition import PCA\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 5))\n",
    "topv = X[feat].var().sort_values().tail(12).index                # 12 highest-variance features\n",
    "im = ax[0].imshow(X[topv].corr(), cmap='coolwarm', vmin=-1, vmax=1)  # correlation heatmap\n",
    "ax[0].set_xticks(range(len(topv))); ax[0].set_xticklabels(topv, rotation=90, fontsize=7)\n",
    "ax[0].set_yticks(range(len(topv))); ax[0].set_yticklabels(topv, fontsize=7)\n",
    "ax[0].set_title('Feature correlation (top-variance)'); fig.colorbar(im, ax=ax[0], shrink=0.7)\n",
    "samp = X.sample(min(5000, len(X)), random_state=RANDOM_STATE)     # subsample for a fast PCA\n",
    "pc = PCA(n_components=2).fit_transform(StandardScaler().fit_transform(samp))\n",
    "ys = y[samp.index]                                               # aligned labels for coloring\n",
    "for lab,c in [(0,'#2a9d8f'),(1,'#e76f51')]:\n",
    "    ax[1].scatter(pc[ys==lab,0], pc[ys==lab,1], s=4, alpha=0.4, color=c,\n",
    "                  label={0:NEG_WORD,1:POS_WORD}[lab])\n",
    "ax[1].set_title('PCA projection (2 components)'); ax[1].legend(); ax[1].set_xlabel('PC1'); ax[1].set_ylabel('PC2')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d59c6ed6",
   "metadata": {},
   "source": [
    "## 8. Model comparison\n",
    "\n",
    "Four diverse learners share one held-out split, ranked by ROC-AUC.\n",
    "\n",
    "**Two honesty guards print with the table:**\n",
    "\n",
    "1. The models train on a *stratified subsample* of at most 120,000 rows. The full row count is printed above. So every score here is a subsample number, not a full-corpus claim.\n",
    "2. The **majority-class baseline accuracy** appears *inside* the ranking table. On imbalanced data, 0.99 accuracy can be worse than always guessing the majority class. Judge each model against that baseline, not against 0.5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ed6e4487",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 2,830,743 rows | trained on 120,000 (stratified subsample) | held-out 707,686\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.8030  (any model must beat THIS, not 0.5, to be interesting)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best model: XGBoost\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>roc_auc</th>\n",
       "      <th>train_s</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>XGBoost</td>\n",
       "      <td>0.998991</td>\n",
       "      <td>0.999948</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LightGBM</td>\n",
       "      <td>0.998894</td>\n",
       "      <td>0.999941</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.998282</td>\n",
       "      <td>0.999716</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.936697</td>\n",
       "      <td>0.979040</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.803000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                model  accuracy   roc_auc  train_s\n",
       "0             XGBoost  0.998991  0.999948      0.8\n",
       "1            LightGBM  0.998894  0.999941      1.3\n",
       "2        RandomForest  0.998282  0.999716      1.5\n",
       "3  LogisticRegression  0.936697  0.979040      0.8\n",
       "4    MajorityBaseline  0.803000  0.500000      0.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# --- Model comparison: four learners on the same held-out split ---\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score\n",
    "import xgboost as xgb, lightgbm as lgb\n",
    "\n",
    "# Stratified split keeps the class ratio in both halves.\n",
    "Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=0.25, random_state=RANDOM_STATE, stratify=y)\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "N_MATERIALIZED = len(y)                                          # the full corpus we loaded (see printed count)\n",
    "# HONEST DISCLOSURE: we do NOT train on all N. We fit on a STRATIFIED subsample (<=120k) because\n",
    "# these learners saturate long before then on this data. Every headline below is a SUBSAMPLE\n",
    "# number, not a full-corpus number \u2014 saying otherwise would be the fabrication this course forbids.\n",
    "if len(Xtr) > 120_000:\n",
    "    Xtr, _, ytr, _ = train_test_split(Xtr, ytr, train_size=120_000, random_state=RANDOM_STATE,\n",
    "                                      stratify=ytr)               # genuinely stratified, not random\n",
    "MAJORITY_BASELINE = max(np.mean(yte), 1 - np.mean(yte))          # accuracy of 'always predict majority'\n",
    "print(f'materialized {N_MATERIALIZED:,} rows | trained on {len(Xtr):,} (stratified subsample) | '\n",
    "      f'held-out {len(yte):,}')\n",
    "print(f'MAJORITY-CLASS BASELINE accuracy = {MAJORITY_BASELINE:.4f}  '\n",
    "      f'(any model must beat THIS, not 0.5, to be interesting)')\n",
    "\n",
    "models = {                                                        # four standard, diverse learners\n",
    "    'LogisticRegression': make_pipeline(StandardScaler(), LogisticRegression(max_iter=300)),  # scaled!\n",
    "    'RandomForest': RandomForestClassifier(n_estimators=60, n_jobs=-1, random_state=RANDOM_STATE),\n",
    "    'XGBoost': xgb.XGBClassifier(n_estimators=80, max_depth=6, tree_method='hist', n_jobs=-1,\n",
    "                                 eval_metric='logloss', random_state=RANDOM_STATE),\n",
    "    'LightGBM': lgb.LGBMClassifier(n_estimators=80, n_jobs=-1, verbose=-1, random_state=RANDOM_STATE),\n",
    "}\n",
    "rows, fitted = [], {}\n",
    "for name, m in models.items():                                    # fit + score each model\n",
    "    t = time.perf_counter(); m.fit(Xtr, ytr); fitted[name] = m\n",
    "    p = m.predict_proba(Xte)[:, 1]                                # positive-class probability on held-out\n",
    "    rows.append({'model': name, 'accuracy': round(accuracy_score(yte, (p>0.5).astype(int)), 6),\n",
    "                 'roc_auc': round(roc_auc_score(yte, p), 6),      # 6 dp: a 1.000000 is a red flag, not a win\n",
    "                 'train_s': round(time.perf_counter()-t, 1)})\n",
    "rows.append({'model': 'MajorityBaseline', 'accuracy': round(MAJORITY_BASELINE, 4),\n",
    "             'roc_auc': 0.5, 'train_s': 0.0})            # show the baseline IN the ranking table\n",
    "comparison = pd.DataFrame(rows).sort_values('roc_auc', ascending=False).reset_index(drop=True)\n",
    "_ranked = comparison[comparison.model != 'MajorityBaseline']\n",
    "best_name = _ranked.iloc[0]['model']; best = fitted[best_name]  # winner by ROC-AUC (excl. baseline)\n",
    "print('best model:', best_name); comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b559760",
   "metadata": {},
   "source": [
    "## 9. Results\n",
    "\n",
    "Diagnostics for the winning model, including **per-group recall**.\n",
    "\n",
    "The grouping comes from whatever the loader put in `family`. It is *not* always an attack taxonomy. On the intrusion corpora it is the attack family. On the fraud and malware corpora it is a transaction type, a merchant category or a malware category. On binary corpora it collapses to the positive class.\n",
    "\n",
    "Read it accordingly. Where the groups are genuinely rare classes, they reveal whether detection is real. The dominant flood classes do not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a9c87e03",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1800x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1560x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "operational FALSE-POSITIVE RATE @0.5 = 0.0008  (451 benign flagged of 568,274)\n",
      "worst per-family recalls: {'Infiltration': 0.0, 'Web Attack \ufffd Sql Injection': 0.5, 'Bot': 0.713, 'Web Attack \ufffd XSS': 0.934, 'Web Attack \ufffd Brute Force': 0.992, 'FTP-Patator': 0.996}\n"
     ]
    }
   ],
   "source": [
    "# --- Results for the best model: confusion, ROC, PR, importances, per-family recall ---\n",
    "from sklearn.metrics import confusion_matrix, roc_curve, precision_recall_curve, recall_score\n",
    "pb = best.predict_proba(Xte)[:, 1]; pred = (pb > 0.5).astype(int)\n",
    "fig, ax = plt.subplots(1, 3, figsize=(15, 4))\n",
    "# (1) confusion matrix\n",
    "cm = confusion_matrix(yte, pred); ax[0].imshow(cm, cmap='Blues')\n",
    "ax[0].set_title(f'{best_name}: confusion'); ax[0].set_xticks([0,1]); ax[0].set_yticks([0,1])\n",
    "ax[0].set_xticklabels([NEG_WORD,POS_WORD]); ax[0].set_yticklabels([NEG_WORD,POS_WORD])\n",
    "for (i,j),v in np.ndenumerate(cm): ax[0].text(j,i,f'{v:,}',ha='center',va='center')\n",
    "# (2) ROC and PR curves\n",
    "fpr,tpr,_ = roc_curve(yte, pb); prec,rec,_ = precision_recall_curve(yte, pb)\n",
    "ax[1].plot(fpr,tpr,color='#264653'); ax[1].plot([0,1],[0,1],'--',c='grey')\n",
    "ax[1].set_title(f'ROC (AUC={roc_auc_score(yte,pb):.4f})'); ax[1].set_xlabel('FPR'); ax[1].set_ylabel('TPR')\n",
    "ax[2].plot(rec,prec,color='#e76f51'); ax[2].set_title('Precision-Recall'); ax[2].set_xlabel('recall'); ax[2].set_ylabel('precision')\n",
    "plt.tight_layout(); plt.show()\n",
    "\n",
    "# (3) feature importances + (4) per-attack-family recall\n",
    "fig, ax = plt.subplots(1, 2, figsize=(13, 5))\n",
    "imp, names = None, feat                                           # importances, robust to the scaled-LR pipeline\n",
    "if hasattr(best, 'feature_importances_'):                          # tree models\n",
    "    imp = best.feature_importances_; names = list(getattr(best, 'feature_names_in_', feat))[:len(imp)]\n",
    "elif hasattr(best, 'named_steps') and 'logisticregression' in getattr(best, 'named_steps', {}):\n",
    "    imp = np.abs(best.named_steps['logisticregression'].coef_[0]); names = feat  # LR pipeline\n",
    "elif hasattr(best, 'coef_'):\n",
    "    imp = np.abs(best.coef_[0]); names = feat\n",
    "if imp is not None:\n",
    "    pd.Series(imp, index=names[:len(imp)]).sort_values().tail(12).plot.barh(ax=ax[0], color='#264653')\n",
    "ax[0].set_title(f'{best_name}: top importances / |coef|')\n",
    "# Per-family recall, WORST-first so rare, hard classes are visible, not just the dominant floods.\n",
    "fam_te = df.loc[Xte.index, 'family']\n",
    "fr = {}\n",
    "for fam, cnt in fam_te[yte==1].value_counts().items():\n",
    "    if cnt < 5: continue                                          # need a few positives for a meaningful recall\n",
    "    mask = (fam_te==fam).to_numpy(); fr[fam] = recall_score(yte[mask], pred[mask], zero_division=0)\n",
    "srt = pd.Series(fr).sort_values()\n",
    "show = pd.concat([srt.head(9), srt.tail(3)]) if len(srt) > 12 else srt   # worst 9 + best 3\n",
    "show = show[~show.index.duplicated()]\n",
    "show.plot.barh(ax=ax[1], color=['#e76f51' if v < 0.5 else '#2a9d8f' for v in show]); ax[1].set_xlim(0,1)\n",
    "ax[1].set_title('Per-family recall (worst first; red < 0.5)')\n",
    "plt.tight_layout(); plt.show()\n",
    "# Operational numbers, not just figures: false-positive rate and the worst per-family recalls.\n",
    "tn, fp = int(cm[0,0]), int(cm[0,1])\n",
    "fpr_op = fp/(fp+tn) if (fp+tn) > 0 else float('nan')             # benign wrongly flagged @0.5\n",
    "print(f'operational FALSE-POSITIVE RATE @0.5 = {fpr_op:.4f}  ({fp:,} benign flagged of {fp+tn:,})')\n",
    "print('worst per-family recalls:', {k: round(v, 3) for k, v in srt.head(6).items()})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e0d4cff",
   "metadata": {},
   "source": [
    "## 10. Validity audit \u2014 is the score real?\n",
    "\n",
    "Three diagnostics. **(a)** How well can the *single best feature*, alone, separate the classes? A near-1.0 single-feature AUC means that feature is *near-sufficient* \u2014 a shortcut (which may be legitimate signal or an artifact), not the same as target leakage. **(b)** The exact-duplicate row rate. **(c)** The **train/test exact-row contamination** \u2014 the fraction of held-out rows that are duplicates of training rows, which is what actually inflates a held-out score. The trust grade is the *worse* of the single-feature and contamination concerns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9b53bdff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.7431  (feature: Min_Packet_Length)\n",
      "   note: a near-1.0 single-feature AUC means this feature is *near-sufficient* (a shortcut),\n",
      "   which may be legitimate signal OR an artifact \u2014 it is NOT the same as target leakage.\n",
      "exact-duplicate row rate (whole corpus) = 0.109\n",
      "TRAIN/TEST exact-row contamination       = 0.049  (single-feat grade A, contam grade A)\n",
      "==> data trust grade: A   (worse of the two; F = shortcut and/or heavy contamination)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 960x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- Validity audit: is the score real detection, or a data shortcut? ---\n",
    "from sklearn.metrics import roc_auc_score\n",
    "samp = X.sample(min(60_000, len(X)), random_state=1); ysamp = y[samp.index]\n",
    "aucs = {}\n",
    "for c in feat:                                                    # AUC of EACH feature alone\n",
    "    col = samp[c].to_numpy(float)\n",
    "    if col.std()==0: continue\n",
    "    a = roc_auc_score(ysamp, col); aucs[c] = max(a, 1-a)          # direction-agnostic\n",
    "best_auc = max(aucs.values()); best_col = max(aucs, key=aucs.get)\n",
    "dup_rate = 1 - X.drop_duplicates().shape[0]/len(X)               # exact-duplicate feature rows (whole set)\n",
    "# The statistic that actually inflates a held-out score is TRAIN/TEST CONTAMINATION: how many test\n",
    "# rows are exact duplicates of a training row. Measure it directly on the split used above.\n",
    "_trkeys = set(map(tuple, np.round(Xtr.to_numpy(), 6)))\n",
    "_te = np.round(Xte.to_numpy(), 6)[:50_000]\n",
    "contam = float(np.mean([tuple(r) in _trkeys for r in _te]))      # fraction of test rows seen in train\n",
    "# Trust grade reflects BOTH failure modes and takes the WORSE of the two: a near-perfect single\n",
    "# feature (shortcut) OR heavy train/test contamination each independently invalidate the headline.\n",
    "_ga = 'F' if best_auc>=0.999 else 'D' if best_auc>=0.99 else 'C' if best_auc>=0.95 else 'B' if best_auc>=0.85 else 'A'\n",
    "_gc = 'F' if contam>=0.5 else 'D' if contam>=0.3 else 'C' if contam>=0.15 else 'B' if contam>=0.05 else 'A'\n",
    "grade = max(_ga, _gc)                                            # 'max' letter = worse grade (A best, F worst)\n",
    "print(f'best single-feature AUC = {best_auc:.4f}  (feature: {best_col})')\n",
    "print(f'   note: a near-1.0 single-feature AUC means this feature is *near-sufficient* (a shortcut),\\n'\n",
    "      f'   which may be legitimate signal OR an artifact \u2014 it is NOT the same as target leakage.')\n",
    "print(f'exact-duplicate row rate (whole corpus) = {dup_rate:.3f}')\n",
    "print(f'TRAIN/TEST exact-row contamination       = {contam:.3f}  (single-feat grade {_ga}, contam grade {_gc})')\n",
    "print(f'==> data trust grade: {grade}   (worse of the two; F = shortcut and/or heavy contamination)')\n",
    "s = pd.Series(aucs).sort_values().tail(15)\n",
    "fig, ax = plt.subplots(figsize=(8,5))\n",
    "s.plot.barh(ax=ax, color=['#e76f51' if v>=0.99 else '#457b9d' for v in s]); ax.axvline(0.5,ls='--',c='grey')\n",
    "ax.set_xlim(0.5,1.0); ax.set_title('Single-feature ROC-AUC (red = near-perfect shortcut)'); ax.set_xlabel('AUC alone')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8747d85",
   "metadata": {},
   "source": [
    "## 11. Ablation \u2014 does the headline survive removing the artifacts?\n",
    "\n",
    "Narrating a shortcut is not enough. We *retrain the winning model* after (1) de-duplicating the corpus (removing the train/test contamination) and (2) dropping the single strongest feature. We report the held-out AUC each time. **Read the result honestly, both ways:** if the AUC **collapses**, the headline was a contamination/shortcut artifact. If it **barely moves** \u2014 common on *simulated* corpora \u2014 that is **not vindication**. It means the classes are separable by *many* redundant features, because the attack and benign distributions barely overlap. That is its own generation artifact. The numbers below decide which story is true here, not the prose."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "382f8e4f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ablation \u2014 how much of the headline survives once each artifact is removed:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>setting</th>\n",
       "      <th>held_out_auc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>headline (as-is)</td>\n",
       "      <td>0.999948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (11% rows removed)</td>\n",
       "      <td>0.999946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (Min_Packet_Length)</td>\n",
       "      <td>0.999952</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        setting  held_out_auc\n",
       "0                              headline (as-is)      0.999948\n",
       "1              de-duplicated (11% rows removed)      0.999946\n",
       "2  shortcut feature dropped (Min_Packet_Length)      0.999952"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# --- Ablation: SHOW the inflation empirically, don't just narrate it ---\n",
    "from sklearn.base import clone\n",
    "def _retrain_auc(Xa, ya):                                        # re-split, stratified-subsample, refit best family\n",
    "    xtr, xte, ytr2, yte2 = train_test_split(Xa, ya, test_size=0.25, random_state=RANDOM_STATE, stratify=ya)\n",
    "    if len(xtr) > 120_000:\n",
    "        xtr, _, ytr2, _ = train_test_split(xtr, ytr2, train_size=120_000, random_state=RANDOM_STATE, stratify=ytr2)\n",
    "    m = clone(best); m.fit(xtr, ytr2)\n",
    "    return roc_auc_score(yte2, m.predict_proba(xte)[:, 1])\n",
    "base_auc = roc_auc_score(yte, best.predict_proba(Xte)[:, 1])     # (0) the headline held-out AUC\n",
    "Xdd = X.drop_duplicates(); ydd = y[Xdd.index]                    # (1) de-duplicated corpus\n",
    "auc_dedup = _retrain_auc(Xdd, ydd)\n",
    "auc_noshort = _retrain_auc(X.drop(columns=[best_col]), y) if best_col in X.columns else base_auc  # (2) drop shortcut\n",
    "ablation = pd.DataFrame([\n",
    "    {'setting': 'headline (as-is)',              'held_out_auc': round(base_auc, 6)},\n",
    "    {'setting': f'de-duplicated ({1-len(Xdd)/len(X):.0%} rows removed)', 'held_out_auc': round(auc_dedup, 6)},\n",
    "    {'setting': f'shortcut feature dropped ({best_col})', 'held_out_auc': round(auc_noshort, 6)},\n",
    "])\n",
    "print('Ablation \u2014 how much of the headline survives once each artifact is removed:')\n",
    "ablation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cd2e9d5",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a2bc0854",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "seed=0 | numpy 2.3.5 | sklearn 1.9.0 | xgboost 1.6.2 | lightgbm 4.7.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost 3-fold CV ROC-AUC = 0.9999 +/- 0.0001  (mean +/- std across 3 stratified folds; a small std means a stable estimate on this split)\n"
     ]
    }
   ],
   "source": [
    "# --- Reproducibility & robustness ---\n",
    "import sklearn\n",
    "from sklearn.model_selection import StratifiedKFold, cross_val_score\n",
    "print(f'seed={RANDOM_STATE} | numpy {np.__version__} | sklearn {sklearn.__version__} | '\n",
    "      f'xgboost {xgb.__version__} | lightgbm {lgb.__version__}')\n",
    "# 3-fold cross-validated ROC-AUC of the winning model (fresh clone, bounded subsample) -> mean +/- std.\n",
    "from sklearn.base import clone\n",
    "cvX, cvy = Xtr.iloc[:40_000], ytr[:40_000]\n",
    "def _auc_scorer(est, Xv, yv):                                   # robust to xgboost's 2-col predict_proba\n",
    "    p = est.predict_proba(Xv)\n",
    "    p = p[:, 1] if getattr(p, 'ndim', 1) == 2 else p\n",
    "    return roc_auc_score(yv, p)\n",
    "try:\n",
    "    cv = cross_val_score(clone(best), cvX, cvy,\n",
    "                         cv=StratifiedKFold(3, shuffle=True, random_state=RANDOM_STATE),\n",
    "                         scoring=_auc_scorer, error_score='raise')\n",
    "    assert np.all(np.isfinite(cv)), 'non-finite CV folds'   # FAIL CLOSED: never narrate a NaN as evidence\n",
    "    print(f'{best_name} 3-fold CV ROC-AUC = {cv.mean():.4f} +/- {cv.std():.4f}  '\n",
    "          f'(mean +/- std across 3 stratified folds; a small std means a stable estimate on this split)')\n",
    "except Exception as e:\n",
    "    print(f'CV UNAVAILABLE ({type(e).__name__}: {str(e)[:60]}); rely on the single held-out AUC above \u2014 '\n",
    "          f'we do NOT report a CV number we could not compute')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe0e6875",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "Per-family recall reveals which attack classes are actually learned versus carried by the benign majority.\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.8030**. The accuracy column must clear that bar to mean anything. For ROC-AUC the trivial baseline is 0.5, not that figure. Winning learner: **XGBoost** (3-fold CV ROC-AUC **0.9999**). Strongest *single* feature: `Min_Packet_Length` at AUC **0.7431**. The ablation refutes a single-feature story. Dropping that feature barely moves the AUC: **0.999948 \u2192 0.999952**. So the separability is **multi-feature**. That reflects how this corpus was generated, not one leaky column. De-duplication lowers the AUC only slightly, to **0.999946**. Repeated rows account for a negligible part of the headline. Data-trust grade: **A** \u2014 the worse of the two sub-checks this audit actually runs. Single-feature AUC 0.7431 scores **A**. Train/test exact-row overlap 0.049 scores **A**. **Read that grade narrowly.** It says only that *these two* failure modes do not account for the headline: a single near-sufficient feature, and held-out rows copied from the training set. It is not a verdict that the score is real, and it does not clear the corpus. The audit never tests the failure mode section 2 raises: Engelen et al. (2021) and Rosay et al. (2022) document mislabeled flows and CICFlowMeter extraction bugs in these very files, and we trained on the uncorrected labels and features. A held-out AUC of **0.999948** on original-label CIC-IDS2017 is the kind of figure those papers argue is inflated. **Nothing computed in this notebook can confirm or rule that out** \u2014 no cell here re-labels a flow or re-extracts one. The honest reading is therefore two-part. The artifacts we can measure are absent. The artifact we cannot measure from inside this notebook stands as an open charge against the headline. Settling it would require refitting on the corrected labels and re-extracted flows, which is not something this notebook does. Operational false-positive rate at threshold 0.5: **0.0008**. Worst per-group recalls, exactly as printed: {`Infiltration`: 0.0, `Web Attack \ufffd Sql Injection`: 0.5, `Bot`: 0.713, `Web Attack \ufffd XSS`: 0.934, `Web Attack \ufffd Brute Force`: 0.992, `FTP-Patator`: 0.996}. The weakest group, `Infiltration`, sits at **0.000** \u2014 at threshold 0.5 the model detects *none* of it. That gap, not the aggregate score, is the operationally important result. **Disclosed limitation:** categorical columns are integer-encoded before the split. The encoder therefore sees the test set's category values. On an all-numeric corpus that step is a no-op. The mapping never consults the label, so no *label* information leaks. It is still transductive. A deployed system would need an unseen-category bucket. **How the audit numbers are computed:** overlap is measured on the first 50,000 held-out rows, so read it as a sampled estimate. Each ablation re-splits and refits, so tiny differences are re-split noise. The de-duplication variant keeps the first label when a feature vector appears twice. **Scope:** the split is random, not temporal or entity-grouped. Every number above therefore measures in-distribution separability only."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40aaa063",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. Sharafaldin, I., Lashkari, A.H. & Ghorbani, A.A. (2018). Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization. *ICISSP*.\n",
    "2. Engelen, G., Rimmer, V. & Joosen, W. (2021). Troubleshooting an Intrusion Detection Dataset: the CICIDS2017 Case Study. *2021 IEEE Security and Privacy Workshops (SPW)*, 7\u201312. (WTMC 2021 workshop.)\n",
    "3. Rosay, A., Cheval, E., Carlier, F. & Leroux, P. (2022). Network Intrusion Detection: A Comprehensive Analysis of CIC-IDS2017. *8th Int. Conf. on Information Systems Security and Privacy (ICISSP)*, 25\u201336.\n",
    "4. Sommer, R. & Paxson, V. (2010). Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. *IEEE S&P*.\n",
    "5. Apruzzese, G. et al. (2023). The role of machine learning in cybersecurity. *ACM DTRAP*."
   ]
  }
 ],
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