{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "04b7398a",
   "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 tunnel detectors on encrypted DoH flows, using timing statistics rather than payload.\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",
    "5. Read a constructed 50/50 balance as a design choice, not a field rate.\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 2: Service Enrichment and Device Fingerprinting** \u2014 Learning objective 3 (section 2.1) compares evidence sources by strength and **spoofability**. Several features used here are flow statistics \u2014 sizes, timings, rates \u2014 an attacker can reshape by padding or pacing, which is the same concern.\n",
    "- **Chapter 11: Formal Protocol Verification** \u2014 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.) The ablation does that job here: it tests whether the headline survives.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9b4c271",
   "metadata": {},
   "source": [
    "# Encrypted DNS-over-HTTPS Tunnel Detection (CIRA-CIC-DoHBrw-2020)\n",
    "### Model comparison + validity audit on ~499k DoH flows (benign vs tunneled)\n",
    "\n",
    "**Abstract:** DNS-over-HTTPS (DoH) encrypts DNS inside HTTPS, defeating classic DNS monitoring and giving attackers a covert tunnel. The CIRA-CIC-DoHBrw-2020 dataset (MontazeriShatoori et al., 2020) captures ~499k DoH flows labelled benign vs malicious (tunnels built with dns2tcp, DNSCat2, Iodine). They are described only by **time-series statistics of the encrypted flow** (byte/packet rates, inter-arrival times) \u2014 you never see plaintext. We compare four learners and audit the result. A **new domain** for the series: encrypted-traffic analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac4a344f",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Decide whether an encrypted DoH flow is benign or a covert tunnel using only flow-timing statistics \u2014 no payload. This is the realistic constraint for encrypted traffic. Detection must ride on timing and volume side-channels. The question is whether those generalize beyond the specific tunneling tools captured here."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4051e1cc",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **MontazeriShatoori, Davidson, Kaur & Habibi Lashkari (2020)** \u2014 *Detection of DoH Tunnels using Time-series Classification of Encrypted Traffic*: the dataset and a two-layer (DoH-vs-non-DoH, then benign-vs-malicious) approach.\n",
    "- **Anderson & McGrew (2016)** \u2014 identifying malware in TLS without decryption.\n",
    "- **Bushart & Rossow (2020)** \u2014 padding/anonymity limits of encrypted DNS.\n",
    "- **Sommer & Paxson (2010)** \u2014 the closed-world critique.\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",
    "| MontazeriShatoori et al. (2020) \u2014 time-series classifiers | few tunneling tools; tool-specific timing can be a shortcut |\n",
    "| Encrypted-traffic side-channel detectors | sensitive to padding/regime shift |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "866b59cc",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `bcccdatasets/bccc-cira-cic-dohbrw-2020` |\n",
    "| Rows | 499,106 DoH flows. The **exact 50/50 balance is constructed**: BCCC re-balanced the natively skewed CIRA-CIC-DoHBrw-2020 capture, which is why the majority baseline prints as exactly 0.5000. Do not read that balance as the field rate of malicious DoH |\n",
    "| Label | `Label` benign vs malicious (tunneled) |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly:** only a handful of tunneling tools (dns2tcp / DNSCat2 / Iodine) and a few servers are represented. So a high score may reflect *tool-specific* timing fingerprints rather than a general tunnel detector. IP/timestamp identifiers are dropped and the audit probes single-feature shortcuts.\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 `bcccdatasets/bccc-cira-cic-dohbrw-2020` -> `/tmp/kg_doh2020`. It is about **206 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": "1f51dec3",
   "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": "a524a484",
   "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": "07c2bb87",
   "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": "b5793bb4",
   "metadata": {},
   "source": [
    "**Figure 5.1 \u2014 Implementation architecture.**\n",
    "\n",
    "<img 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mflsWt3joMPDdLmf43sN7f59tXHyBx98/MB+2lundesvnc/1501DmZIly8muXVslY8bM5j7u3btT0qfPaEKZpEmTO4fX3T+M62maGAMA4CoIZQAAiILq1Glohq5oOKPVLPfTEGbmzMmmekSHIqnr16+ZdUjIXbPW6hgHHbakr2v1iuN1b+8YztdjxfL5/zGuhns9wcHBpslu2bJvOLdpxUzmzNnMH+ovglbgVKjwXyNgnQlK+7hoAKN0CJL2l9FKEqUVPhpArVu3whnKtGv3kQkPHHSYk85g9aw0bAqPBl8aHoW2YMF6eRT9TpRjFiTtwaNDw0KHWTp8SWnlUehQxtG8N7TRoweFex7Hvjdu3JDt2zeZHjxaMdWz55AwlUw6nCo0PffBg3vNY23SnCmTv3Wt7v+vnnnTrB0hkE6h/vXXn4V5v4Z4jxriBgCAKyOUAQAgCtIpoBs0aC5jxw4xfTocw0jUrFlTZcSI/vLJJx2kUKHiZjjPG28Udr5esGAxE8joVM+6j06FrL1ddF+dKUirLrTa4Y8/F4hpBwAAEABJREFUppshTV5eXv+vQklkhSzZw72eGzeum6EzGgbpEppjGuv7aeWE/rGvVTtPwzH7kgZPOpV09er1TWWGgzb41XBEp5V20GFFf/89T4KCgszn0ooPnR7aQXvr3Dv2vSFQjmmiIypevARmrQ2CY8ZM88DrWokUOjSJiHPn7g23Spny3vG0X4vjOh30PmrFiWNfB0fz3tA0YAv9mcPbt3Dh4iZc0aFKS5cuNDNhhd4vNA1cfvttsnmsoYw2atZQ5u+/55ptGsq8+ea9EEyHMDkqqRxCf2cAACAsQhkAAKIgDUC0ee+//y6WAQO6mz92NaRQ06ZNMFUPVarUMM+1iiU0rRZp0aKd9O/f1QyFUTos5pNPOjr36dSptzRpUkOqVr03hbNWZXz1VT/TSyQ8Pj5xzGsa+DjO6xAtWvRw36NBgr9/Dtm8eZ0JT560r4xj9iVdli5dZCpANPBwXKMOXVKffvrBA+9dv36lCbM0fAqPn19WE9ps2rTWOStURGTNmtOs9X2Oxreh6axKjpmVIkqHkt17byqz1uFDp06dCLOP3j/tNeMY6vQ8ZMhw797cf677+fvntEKo762w6LKZwUub/+rP56hRA8w2fb+jUkYbEVMVAwBAxNHoFwCAKEpDDG3kq1UP/fp9ZbbpH8Pa10Sb7Do4Gq2GpkObdFiPDp3RZcCAsc6ZfdTvv/9ierE4Xp88eZ4JUB4lW7bcpgGxIyhxLI96X9myVUyljPadCU3/mH8SH3/8hekDo8O5lN4HHaakIZE2J3Ys2tRYhwFpU+JH0b4yxYqVkRUrlpjqj9AeNbW1fl4NvbRyRJveRvR9D6NDtJYsmW+qTxw9WTQE0Sa/oat4dJiWfubQVUHPas+e7WadIkXqR+6nw8b0nupMXbdu3TSVLzoTlvbP0SobfU33AQAAT45KGQAAojDtk6LNWMeM+V7mzp1pqjp02In27tA/5C9fvihTp44z/WG0isFRkXLu3BnTA2bNGn9TWZIgQWJzLEe1ig6/OXHiqKlAiRcvvuk5o1NDO/q16PAZfazHzJu3sGkgXK9eE/nss8YyatQgKVSomAlodNhT06ZtHhhC41Chwltm6mkdbqU9csqUqWzChmnTxkutWh9EuEpFg4By5arIrFlTzIxB+rl1lik93v3n1iFMen9ater4yGM2atRSNm9eL23aNDLVPzq8S3utzJw5RQYO/PGBqbKVDv9q2bKDdO/eVpo3r2saJGsgoZ9RZzQaP362mQ3qUbQHjw7J0l43v/02ydxrbbrsULVqHZk9e6p07tzSDNnSsEenL9fv/VmmnNZQSz+vNhHW72Lx4rnm2vXn6FH050f306nQtbpG74HSKdZ1Bi+tRnpYhRUAAHg0QhkAAKI4HcakVQo//PCdGbak1TMjR34n337byQxp0qmxtQ/IhAnDTS+V6NGjW4HDJ/L9973MH+EOGmz07fuDGWJSs+b70qXLp9Kr13/BhYYD3347zDTv1fBGA4EpU340w2Z0Km0dAqWVKDqM6I8/ppkhT/nyFZHUqdM/9No1oND36DCqv/6aI9980878UV+iRDkpVaqCPImGDVua8GPw4J5mGJEeJ7xAQcOVjRvXyv79e0xw8DBa8TJ8+GQTeOhQKO3Vo9Uq2mQ5vEDmv+MXkyFDJpr3aSil4ZD26dH+NY8LZFTv3l+awCtJkuRSsmR5E7rpd+IQM2ZMKxQaJ4MG9ZBhw/qa+69Bk37vjmbAT0MbCOuiAUqyZClNM+SaNRuYn5fH0Z8J/Q5DT6Ht6+snCxf+YQVr7wgAAHg6T/9fdgDAE5k5s/jxMmV6pfDxebJ+E3i+xn51Vyo0SicxfB7/x/OrQnvO7Nq1TTp1aiGVKlWT5s3bhnldh8XoNNl9+nQ2MwGNGDFFAFcwa9ABqdPWTWLFFQDAKy4wcJ/1j1w99lSrtiyzRCH0lAEA4BWjFRZ//vmb87lWlGjzVa2O0H40OuuSzmbkoNUXqVOnNTMv3d8nBQAAAC8Ow5cAAHjFeHp6yYwZP0miREmcvT50GNPhwwekbt1G4uHhKQsWzDYz5ugQHqUz6GjDWR1WBAAAgMhBKAMAwCumceNWpjlsjx7t5Pbt25IgQSLTW6Vbt4FSuHBxs8/x40fkhx/uTWkcM2YsSZcug+ltQn8QAACAyEMoAwDAK0ane+7Qoccj99GKGV0AAABgH3rKAAAAAAAA2IBQBgAAAAAAwAaEMgAAAAAAADYglAEAAAAAALABoQwAAAAAAIANCGUAAAAAAABsQCgDAAAAAABgA08BAAB4yYSEhMiff/4q//yzQA4d2i+5cuWX2rU/ED+/rGH2W7p0kcycOVlOnz4hxYuXlUaNPhFvb2/z2vXr12TatAmyevUyuXTpghQtWlrq128q8eMncL7/7t27MmXKj/LXX3PE09NLKlSoKjVq1BcAAIDngUoZAADw0hk9erD8+ONQKVy4pLRo0V4uXgyUL75oagIah4UL/5BevTpK/vxFpVmzthIQsEbatfvIvKahTrt2zUwg8/bbdaVevSaydu1y+fzzxhIUFOQ8xoAB3WX27KlW4NNQ3nijukycOFJGjRokAAAAzwOVMgAA4KXzzjvvSunSFSVTpizmeZ48Ba3gpJwsXbpQ0qVrbrbNmjVFypZ9Q+rXb2KeJ0uWQlq1aiA7dmyRrFlzWkHN55ImTXqJEyeued3HJ64JcbZt22iOd/HiBfn773nWezpJxYpVzT5BQbdl8uSx0rBhC/Hy8hIAAIBnQaUMAAB46SRKlMQZyKh48eJL9OjR5cqVy+b5qVMnZP/+PZI7dwHnPpky+UvMmLFk1aql5nn27LmdgYzS0EY5jrFmzb9y584dyZu3kHOf3LkLmmFPGzeuFQAAgGdFpQwAAHjpnT17Wm7duiXp0mUwz0+fPmnWiRMnde7j7u5unmt/mfAcPXrIrB3HOHPmlFlrAOTgON6ZMycFAADgWRHKAACAl5429I0RI6Zp5qu0x4zSypjQYsf2kQsXAsM9xrJlf0mWLNnNkCbHMby9Y5gwx8FRWXPhwnkBAAB4VoQyAADgpaZVMr/8Ms7MnBQ3bjyzTRv5PtyDr61bt9IMVxoyZKI8ipubWwSODwAAEDH0lAEAAC+t4OBg6dmzg6RIkVqqVavr3O6Y1vratath9r969YrEi5cgzDbtP9O3bxepXr2++Pn5O7drn5qbN2+YabEdLl26+P/jJxQAAIBnRSgDAABeWkOH9ja9YDp37i0eHh7O7Y7g5eTJ485tGq6cPHksTKBy8+ZN6dbtc0mVKq00bvxJmGM7jnHixDHntuPHj4R5DQAA4FkQygAAgJfSpEljZPHiudKz5xBJkiRZmNdSpkwjCRIkkh07Nju37dmzQ27fvu2ckUmrbLp3bys3blyXrl0HhAl1VK5c+c16+/ZNzm06Xbanp6dkz55HAAAAnhU9ZQAAwEtn0aI58tNPI82Qo1u3bsrmzevN9ujRvU2zXg1O3n23sQwd2keSJUspqVOnk4kTf5D06TNK4cIlzL6DB/c0U1u3bv2lHDq0z3lsDXN0f234W6JEWfnhhwGmh4wOZZo8eYxUrvyOc3gUAADAsyCUAQAAL51Nm9aZ9a+//mwWh+zZc8t3340xj998s6ZpAjxv3ky5evWy+Pr6yZdf9nXOpqTH0CFNAwZ0D3PsunUbyQcffGwef/55V+nVq4OMGjXQBD1FipSSjz76TAAAAJ4HQhkAAPDS+eKLbmZ5nEaNWpolPBMnznnc28Xb21u6dx8kAAAALwI9ZQAAAAAAAGxAKAMAAAAAAGADQhkAAAAAAAAbEMoAAAAAAADYgFAGAAAAAADABoQyAAAAAAAANiCUAQAAAAAAsAGhDAAAAAAAgA0IZQAAAAAAAGxAKAMAAAAAAGADQhkAAAAAAAAbEMoAAAAAAADYgFAGAAAAAADABoQyAAAAAAAANiCUAQAAAAAAsAGhDAAAAAAAgA0IZQAAAAAAAGxAKAMAAAAAAGADQhkAAAAAAAAbEMoAAAAAAADYwFMAAHAxO1dfEK/o/LsE4OqCbodY/+smAADYhVAGAOBS8pZ2k6BblwWu7eeff5d33iknMWPGELgu/f+DaN4EMwAA+xDKAABcSp7S/PEFkS4D50j2EiUkUaKYAgAAYBdqtwEAAAAAAGxAKAMAAAAAAGADhi8BAACXkyRJAnFjJBsAALAZoQwAAHA5N27cEgAAALsRygAAAJdz5co1CQkRAAAAWxHKAAAAl+Pu7i5ujF8CAAA2I5QBAAAu5+7duxJCqQwAALAZsy8BAAAAAADYgEoZAADgcvz80jJ8CQAA2I5QBgAAuJw9ew4zfAkAANiOUAYAALicGDGiC4UyAADAboQyAADA5dy4cYspsQEAgO1o9AsAAAAAAGADKmUAAIDLyZSJRr8AAMB+hDIAAMDl7N1Lo18AAGA/hi8BAAAAAADY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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 5.1 \u2014 Implementation architecture.\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3eeb42d0",
   "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": "ec41827d",
   "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": "fb7ed24b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 499,106 DoH flows x 28 timing features; malicious rate 0.5000\n"
     ]
    }
   ],
   "source": [
    "import os, glob\n",
    "# CIRA-CIC-DoHBrw-2020 (MontazeriShatoori et al., 2020): flow-statistics of DNS-over-HTTPS traffic,\n",
    "# labelled benign vs malicious (DoH tunneling via dns2tcp / DNSCat2 / Iodine). Self-contained.\n",
    "os.environ.setdefault('KAGGLE_KEY', open(os.path.expanduser('~/.kaggle/access_token')).read().strip())\n",
    "DEST = '/tmp/kg_doh2020'; os.makedirs(DEST, exist_ok=True)\n",
    "if not glob.glob(DEST + '/**/*.csv', recursive=True):\n",
    "    import kaggle; kaggle.api.authenticate()\n",
    "    print('downloading CIRA-CIC-DoHBrw-2020 (one-time)...')\n",
    "    kaggle.api.dataset_download_files('bcccdatasets/bccc-cira-cic-dohbrw-2020', path=DEST, unzip=True, quiet=True)\n",
    "f = sorted(glob.glob(DEST + '/**/*.csv', recursive=True), key=os.path.getsize, reverse=True)[0]\n",
    "df = pd.read_csv(f, low_memory=False); df.columns = [str(c).strip() for c in df.columns]\n",
    "assert len(df) >= 400_000, f'floor not met: {len(df):,}'\n",
    "LABEL = [c for c in df.columns if c.lower() == 'label'][0]\n",
    "df['y'] = (df[LABEL].astype(str).str.strip().str.lower() != 'benign').astype(int)\n",
    "df['family'] = df[LABEL].astype(str).str.strip()               # Benign / Malicious\n",
    "# Drop the label + any IP/timestamp identifiers so the model uses only flow-timing statistics.\n",
    "DROP = [LABEL, 'y', 'family'] + [c for c in df.columns if c.lower() in\n",
    "        ('sourceip','destinationip','source_ip','destination_ip','timestamp','flowid','flow_id')]\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:\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); X = X.loc[:, X.nunique() > 1]         # float32-safe; drop constants\n",
    "import re\n",
    "_seen, _cols = {}, []\n",
    "for _c in X.columns:                                           # unique LightGBM-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(); family = df['family'].to_numpy()\n",
    "print(f'loaded {len(df):,} DoH flows x {len(feat)} timing features; malicious rate {y.mean():.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ad3cd48",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c6ef47de",
   "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": "683980ba",
   "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": "f9658793",
   "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": "5c04ba4a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 499,106 rows | trained on 120,000 (stratified subsample) | held-out 124,777\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.5000  (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",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "<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>0.999800</td>\n",
       "      <td>0.999999</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.999687</td>\n",
       "      <td>0.999998</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LightGBM</td>\n",
       "      <td>0.999719</td>\n",
       "      <td>0.999953</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.905359</td>\n",
       "      <td>0.960478</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.500000</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  0.999800  0.999999      0.3\n",
       "1        RandomForest  0.999687  0.999998      1.6\n",
       "2            LightGBM  0.999719  0.999953      1.1\n",
       "3  LogisticRegression  0.905359  0.960478      0.3\n",
       "4    MajorityBaseline  0.500000  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": "82dbc753",
   "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": "6adccf83",
   "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 = 0.0002  (14 benign flagged of 62,389)\n",
      "worst per-family recalls: {'Malicious': 1.0}\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": "99a3f889",
   "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": "e8d0f40b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.7762  (feature: PacketLengthMean)\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) = 0.014\n",
      "TRAIN/TEST exact-row contamination       = 0.014  (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": "e202bfb4",
   "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": "3b96f771",
   "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>0.999999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (1% rows removed)</td>\n",
       "      <td>0.999999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (PacketLengthMean)</td>\n",
       "      <td>0.999999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       setting  held_out_auc\n",
       "0                             headline (as-is)      0.999999\n",
       "1              de-duplicated (1% rows removed)      0.999999\n",
       "2  shortcut feature dropped (PacketLengthMean)      0.999999"
      ]
     },
     "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": "ace3e601",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2b4351e1",
   "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 = 1.0000 +/- 0.0000  (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": "f67fc70e",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "Flow-timing statistics separate benign from tunneled DoH at high AUC, which is the encouraging result for encrypted-traffic defence: you need no plaintext. The cautionary half is that only a few tunneling tools are represented. So the audit's single-feature check and the contamination grade matter for judging whether the model learned *tunneling* or a *tool fingerprint*. Generalization to unseen tools and to padded/normalized DoH \u2014 not measured here \u2014 is the real test (Sommer & Paxson, 2010).\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.5000**. 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 **1.0000**). Strongest *single* feature: `PacketLengthMean` at AUC **0.7762**. The ablation refutes a single-feature story. Dropping that feature barely moves the AUC: **0.999999 \u2192 0.999999**. So the separability is **multi-feature**. That reflects how this corpus was generated, not one leaky column. De-duplication does **not** lower the score (**0.999999**). So duplicate rows are not what props it up. Train/test overlap is negligible too, so neither issue explains the result. Data-trust grade: **A**. It is the worse of two independent sub-checks. Single-feature AUC 0.7762 scores **A**. Train/test exact-row overlap 0.014 scores **A**. Neither check flags a problem, so nothing here explains the score away. Operational false-positive rate at threshold 0.5: **0.0002**. Worst per-group recalls, exactly as printed: {`Malicious`: 1.0}. Every group listed is recovered essentially perfectly. So there is no rare-class failure to report on this split. That uniformity suggests the corpus is easy to separate, not that the detector is strong. **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": "58ed2668",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. MontazeriShatoori, M., Davidson, L., Kaur, G. & Habibi Lashkari, A. (2020). Detection of DoH Tunnels using Time-series Classification of Encrypted Traffic. *IEEE Int. Conf. on Cyber Science and Technology Congress (CyberSciTech)*.\n",
    "2. Anderson, B. & McGrew, D. (2016). Identifying Encrypted Malware Traffic with Contextual Flow Data. *ACM AISec*.\n",
    "3. Bushart, J. & Rossow, C. (2020). Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS. *10th USENIX Workshop on Free and Open Communications on the Internet (FOCI 20)*.\n",
    "4. Sommer, R. & Paxson, V. (2010). Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. *IEEE S&P*."
   ]
  }
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