{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6c9660b6",
   "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 NF-ToN-IoT-v2, using that same standard NetFlow schema.\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",
    "- **Chapter 8: Federated Threat Intelligence** \u2014 Learning objective 2 (section 8.1) derives why **non-IID** site distributions produce *client drift*. A model fit on one site does not carry to another. This notebook does **not** run that test: every score here is in-distribution on one corpus. The shared move is scoping a claim to its evidence. Notebook 36 runs the cross-corpus transfer matrix.\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": "716eabe6",
   "metadata": {},
   "source": [
    "# NetFlow-Standardized Intrusion Detection: NF-ToN-IoT-V2\n",
    "### Model comparison + validity audit on NF-ToN-IoT-V2 (\u22651M records, via Kaggle)\n",
    "\n",
    "**Abstract:** NF-ToN-IoT-V2 (Sarhan et al., 2022) re-features the ToN-IoT corpus (Moustafa, 2021) into the standard 43-field NetFlow v2 schema. We compare four learners on its \u22651M flows and audit the scores."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccecc3f7",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Classify standardized NetFlow v2 records (ToN-IoT) as benign or attack. The standard feature set was proposed to enable *cross-dataset* comparison. It is therefore the right lens for asking whether high scores are feature shortcuts or transferable signal."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "170b5d2d",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **Moustafa (2021)** \u2014 *A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets* (Sustainable Cities and Society): the **ToN-IoT origin**. The ToN-IoT network pcaps it describes are the raw material for the corpus used here.\n",
    "- **Sarhan, Layeghy & Portmann (2022)** \u2014 *Towards a Standard Feature Set for Network Intrusion Detection System Datasets* (Mobile Networks & Applications; arXiv:2101.11315): the **NetFlow conversion**. It defines the **43-field NetFlow v2 schema and the NF-*-v2 datasets used here** (NF-UNSW-NB15-v2 / NF-BoT-IoT-v2 / NF-ToN-IoT-v2 / NF-CSE-CIC-IDS2018-v2), enabling cross-dataset comparison.\n",
    "- **Sarhan, Layeghy, Moustafa & Portmann (2021)** \u2014 *NetFlow Datasets for ML-Based NIDS* (BDTA 2020, Springer): the earlier 8-field NetFlow v1 datasets this v2 set extends.\n",
    "- **Koroniotis, Moustafa, Sitnikova & Turnbull (2019)** \u2014 Bot-IoT origin, behind the sibling NF-BoT-IoT-v2 set.\n",
    "- **Moustafa & Slay (2015)** \u2014 UNSW-NB15 origin, behind the sibling NF-UNSW-NB15-v2 set.\n",
    "- **Layeghy & Portmann (2023)** \u2014 cross-domain evaluation over four NetFlow-standardized NIDS datasets. No model they tested generalised across all four.\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",
    "| Standard NetFlow feature set (Sarhan et al., 2022) | in-distribution; NetFlow fields can leak |\n",
    "| Cross-domain NetFlow evaluation (Layeghy & Portmann, 2023) | standardized features expose a generalization gap |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "384afb62",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `dhoogla/nftoniotv2` (NetFlow v2) |\n",
    "| Origin | ToN-IoT (Moustafa, 2021), re-featured to NetFlow v2 by Sarhan et al. (2022) |\n",
    "| Label | `Label` 0/1; family `Attack` |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly:** `Attack` (family) is dropped from features; NetFlow header fields (ports/protocol) can act as shortcuts, which the audit probes.\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 `dhoogla/nftoniotv2` -> `/tmp/kg_nftoniotv2`. It is about **199 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": "1c7e446a",
   "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": "a2cbec18",
   "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": "151bf648",
   "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": "69a71d3c",
   "metadata": {},
   "source": [
    "**Figure 5.1 \u2014 Implementation architecture.**\n",
    "\n",
    "<img 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style=\"max-width:100%;height:auto;\" alt=\"Figure 5.1 \u2014 Implementation architecture.\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48e5c207",
   "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": "6d856495",
   "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": "8ee46942",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 13,135,881 rows x 41 features; positive rate 0.7258\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 = 'dhoogla/nftoniotv2'; 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 + '/**/*.parquet', recursive=True))\n",
    "df = pd.concat([pd.read_parquet(f) 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 = 'Attack'\n",
    "df['y'] = (df[LABEL].astype(str).str.strip().str.lower() != '0').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": "5b5ddb06",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e39ef59b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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7/6kvZt7/QQAAkpo+x0UnoCMrX768C6apDJA+MwPHyApGahpysDGtBI6vQvXZnBzfF1TmRycP41K6yLNkyRI3DVxjfp10DFauKCF0glJBOQUV9fPp06cj3B7dPgs2XlQdd7n66quj3OYFH1U+RkHhUNDUZ+1v7dNgY20vASLwu0Bcv7MBqQnBRiABFNzSB0moBhHPPPOMC2DpcZWBpw9IL/NKAwrVkwv0xhtvuDN6OvOqoIkuGjgpcKKzl6rVJ6pbqJp5qp2nQMJHH33klqtem2q4qFFEXClwEYx3JjmwoYcCMApu6iyf6uIpuKkCyjrDrHp2qkcTl2YqCuYoM04BOT2Ogh+qv6IPea/GXbDHCTzzGUj7KHAQqLOhEuxsb2Qa0GmQd+DAAX8B74Tw3t/IzUTist/1OhT0VBA3cvAysFh2MCdPnozT/vIyAQMHsdEFG6PbzpiWh+K5PfoyoRo9ysrT/0s17NG+UQ1LBRGrV6/uX1eZBhp86/hXTR8vC0D7s0uXLi47IrY6phpM6ouNMi+VNaqgvuohevfT8XEpzYLiQs+h/1f6f69aT/p/52U36G9H4PNdynEdSAFrvTbVefUCvjHxviAEyxIFACCxeWPP6LL1tVwBLX0uBgZ39Jkf7ARjsDFtqD6bk+P7gl63xtCX8jmtQKtOoCoYG+puzGrCp+8mGlNrFoUyMvW+6L1QQxadJI5unwULznnjxZhuu9RmmDHxxtoKOuoSl7F2XL+zAakJwUYgAZStpeYVOivXqVOnBO1LBUXU/U5BCxVrjpw9GKyzmT6UFYTTRffXWUidVVWhYRUm1sUb7Ojsmbow68NbRasVgNEZNhUxVoAkpmmSgdTBN5h9+/ZF+aBXlpnOriobUYGfQGouo2BjbJTBqLOGGrjpzHXkgeSldLWOLdAVl6Cx9/qUKeadSU8ITREPHLjEtN8jZ5hp3yibTIGzyNunAGxgcC2xedsQ3fER3fJQU1atgo0aqGogpzP/2k+B2baBwUl1UVbwWJkI+r+sYvAqJq5gdHTFyT0q7q5AozImI0+1UomFUASjA+n/kb7M6P+qMg4Dp4Rre4cPHx7v4zrQK6+84oq06zVp32gfxVRqwTt2vWMZAICk5I19NBYNNmvHK3sUORilMZROaEYOOAYb04bqszmh4vN9QeMBfVbr5GBcA47q0K3n0qwiNYfRyf1QnVRUxqS2R+OMyF2etf3ejJRw5R0XKpmj1xIXl/KdDUgtqNkIJIBqyimLSZ3rgtXACxTbWU2d5dOgRGf3Ig8clPqv22OiL/rqNPv555+7bCtNadUUysj0QaazlAqoaLDiBU3iSgE2nemMTJmKEjhdUx1sNV0gcqBRr1MfsnGhgaDOyGqbIwcadcYwFAE/ZVtq0KaAWGxTZtTFT/VwNChQd+uE8gKCql8Zk2CBWe1DDZID9/k111zjrmPr/pwYwUadsVVgS2elg21rUtD/AW2LaunoONOAVQN/BdWjowxZvaddu3Z1gUrRoDo2Or6954wsukC694UmumzNmG73nk+D/si1JxX0jDwF6VKO68h/I5QBfc8997gMCXWgjly2IJCOXQUj1aEeAICk5o2DvLFo5M9OjaPVBTjyLAp9tilgF5cxbXQu9bM5oWOB+Hxf0NhQJw+VaBBXGhu9++67Ljim0irNmzd35VlCwdtnrVq1inJbXBIRkpuyMjXuie9YO67f2YCUjmAjkACqTaesO9Uh1Iewzm4Gow/3Zs2axfpYgQGkwICamnpE/rKv4KXqIUamaQJeEExTjUUDqWCDHS/bzFsvLjSlRIHKQHrdyiDTmb677rorwmvatGmT7dmzx79Mgx3ts9iCs4EfyNo+ZWMGTkfQ6+zevXvI6sR169bNn3EZedqMBnXeWXFv+orecxX+9qaqBtK0kLgGQb26QJrSGxNl2QXWLtS06z59+rifvUYq3s8aTCurLlhjFb2WYIPxUFDNRD2+tiuwbuHOnTujrW8Zajrrrlo4CnpqyooyPDVFJXLWnYLFwbItL+X/hPd/NvL+1EC/V69eQe+j5kExNVOJ6fbonk9nyANrVMb3uA6kkyjKLlCgUdeaIhZsCpL+DqmAvL6QRVe2AACAxKTxmAwePNiVufFoPN2zZ0/3eRfdDCSNWQITAjSG1uNEHl9FJz6fzaEYC8T1+4LoZKo8++yzQWc7xDQDQmMp7SM1Y9SUba9sTkJEt89U0ia6Rj7hRGNK1WDU9x+Nz4MFhRVAVJ3QS/3OBqQmTKMGEqhv377ug13BnTp16rgMPBUvVgacAhcqqqyAW7CCxoE0TbhNmzYupV715XTGUsEBZVqp5qGW6Uu9R8FDTeNWjQ8VRFbRYwWgvHp1OsPqZRRqCoemiKouis7satsUbNF0D9VwefTRR+P8ehs0aOAGAsuXL3cNNRSsmDp1qhvIqTh24JReTS94/PHHXSBCZy8VwNCHrQKN6g6nLsGx0ZlDBUw0JVaZU6qFo0CfBj36gG7UqJH7OaE6d+7szlCqnqUaY+h5NL1cgVLtOw1kvSLQ+lnBzzFjxrjpOl6Ha22PBhZ6zzVA1dST2CjzTLUzNRU/2FQej95LZd+pBqb2o7JRNZBRkPuBBx6IMEBVVpqCvjqTrRqGup/OUCvop2nnmroSW43I+FBHPmUE6hjesGGD/xjWmVsdN7rtUjqfx5emTOsY9YKxwaZQ6//Jc88958oLqHi8Bo7KCNB+1TbqttjoGNb/P02h+eOPP9xxri8GKleg9yXYlwQdr3p8bZvOYnuNgbyu6Xq/RowY4b4w6P+MshYUxNN0Jv190f+56dOnu78z+v+vvzH6f6xjyCuQHt/jOjIdi8oM1d8f7U+dhdexFTjNR18U9P8xWHYCAABJQZ+JGoNovKtxlcZKyu7X56M+a/V5GexzXTNmFAjSfTRuVvBHn3Ma26p+s8YusYnPZ7PGHgou6USsxmRejUgFBXXiPqaxwqV+XxCto/sqiKrxpBpGqiaztlNBS40XNZMhpvIqemzVuVbtdCVRxNbYMCbat5pCrRkUeq+0j/Q69bg6YazvFeHu7bffdt/v+vXr58ZYet9Vn1zjK30PUy1HnazV965L+c4GpCo+ACGxfv1631NPPeWrUqWK7/LLL/dlypTJV7hwYV/Tpk19H3zwge/MmTP+dbdu3aq0L1+HDh0iPMa///7r69u3r69MmTK+zJkz+4oWLerr0qWL7+DBg76GDRu6+3j+++8/37Bhw9zjFytWzK2fP39+X7169Xzvvvuu7+zZs/5158+f7+vYsaOvUqVKvpw5c/qyZcvmK1++vK9r166+bdu2xen1BW6zXuudd97py507ty9r1qy+6667zjdv3ryg95swYYKvRo0a7jnz5cvna9mypW/NmjW+/v37u8dbvHhxhPW1TK810Llz53yvv/662/4sWbL4ChUq5Gvfvr3bdm2P7qPti23/eiLvy0Aff/yxr0GDBm4/aZ+WLFnSd//99/t+++23KOvOmjXL17x5c1+BAgXc+63tqlOnju+FF17w/fnnn764GjVqlNueuXPnRrutOn70uNqeyy67zFeqVCnfgAEDIhxXgbQPnnzySV/ZsmXd69AxWaFCBbffZsyYEWHdYPvQo/dHt+n9ClSiRAl3iezIkSPuuLriiivcduo5X3vtNd/y5cvd43Tv3j3Bzx0Xet26b968eSP8X/DoGH766ad9V199tft/o23V62nVqpXvp59+ivPz7Nixwx0fRYoUccdm5cqV3f9LHbPBjmX56KOP3P8Jra91Ih+LOtYrVqzotkm3Be7nQ4cO+Z544gm3TO9r6dKlfX369HF/O6J7T+J6XOv/qp5P14EuXrzo/rbptsaNG/tOnTrlv61t27ZuO//555847zMAAOJLn3PRjRs+/fRT3/XXX+/LkSOH+6zTZ/LgwYN9p0+fDvo4uhw9etSNtfU5rs8zff6OHj3affbFVXw+m7/++mvfNddc48uePbt/LBD4mmIaK1zK94VAc+bM8TVp0sSXJ08e91p1P43LFy1aFKex1/Dhw91ttWrV8h04cCDW/RLTuERjrUaNGrnvEnq/9L5pfBrd88f0umIaSwb7vhHd94RL/U6h8eVbb73lu/baa934SvtU38luuukm3xtvvOHej0v9zgakJun0T3IHPAEgLdOUFGVI6oz4pdTPTEnUHVsZtMr21JRepHyaIqapUKqHmRKmPQEAEHkqb7A60wCAhKNmYyLTdNXAi1Li1d4eADyaeq5p+F999ZWbnp2SBdbn9Gg6sWraqHC6ph4jddC0Kk21jq1rNwAAAIC0hZqNiSywoYW+hKuuW7DOpQDSNmX7qdnMvn37LCVT7T7VPFJNGtUaVMaAahieOnXKhg4dGrR2EVIeTYpQrSvVKYrcJR4AAABA2sY06iT02muvuSmSKtYPAKmRmuYoAKWi2SpYroxuNU5RgxNOtAAAgHDANGoASFwEGyNlIaoLqLrs/vLLL3bkyBHXKatjx45Rdpw6l3ndp7Re9erVXYcvdeiKTo0aNdwXbnUZBQAAAAAAAFIbajYGOHjwoL388suuBb0CgzFRAHLkyJHWrl07Gz16tKtbddttt9mSJUuCrr9mzRrbuHGj3XPPPaF9BwEAAAAAAIAwQc3GAKo7tXfvXitcuLCtWLHC6tSpE3SnKevxs88+c1mQPXv2dMsefPBBq1q1qj3//PP2888/R7mPMiDVGEE1zAAAAAAAAIDUiMzGAJkzZ3aBxthMmzbNZTI++uij/mVZsmSxTp062dKlS23nzp0R1r948aJNmTLFHnjggVC+dwAAAAAAAEBYIdgYD6tWrbLy5ctbzpw5IyyvW7euu169enWE5YsWLXLdWZs1a5aQ9woAAAAAAAAIa0yjjgdNtdaU68i8ZXv27IkyhbpNmzaWMWPcdvf+/fvtwIEDEZYdP37c1XysVq2ay8AEAACIjRraacZFw4YNKeUC5+jRo/b9999bsWLFGFMCAIBEGVMSbIyH06d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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": "df370a32",
   "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": "791a8b50",
   "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": "a92e9f32",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 13,135,881 rows | trained on 120,000 (stratified subsample) | held-out 3,283,971\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.7258  (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>0.990673</td>\n",
       "      <td>0.998863</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LightGBM</td>\n",
       "      <td>0.989334</td>\n",
       "      <td>0.998699</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.992011</td>\n",
       "      <td>0.997670</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.848169</td>\n",
       "      <td>0.839443</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.725800</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  0.990673  0.998863      1.1\n",
       "1            LightGBM  0.989334  0.998699      2.4\n",
       "2        RandomForest  0.992011  0.997670      2.3\n",
       "3  LogisticRegression  0.848169  0.839443      1.3\n",
       "4    MajorityBaseline  0.725800  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": "db85a9fa",
   "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": "4ae40b94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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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 = 0.0231  (20,817 benign flagged of 900,321)\n",
      "worst per-family recalls: {'ransomware': 0.904, 'mitm': 0.934, 'scanning': 0.989, 'backdoor': 0.997, 'dos': 0.998, 'injection': 0.999}\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": "9571ab30",
   "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": "b75ff338",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.7637  (feature: LONGEST_FLOW_PKT)\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) = 0.000\n",
      "TRAIN/TEST exact-row contamination       = 0.000  (single-feat grade A, contam grade A)\n",
      "==> data trust grade: A   (worse of the two; F = shortcut and/or heavy contamination)\n"
     ]
    },
    {
     "data": {
      "image/png": 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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": "913b37ff",
   "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": "bec40852",
   "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>0.998863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (0% rows removed)</td>\n",
       "      <td>0.998863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (LONGEST_FLOW_PKT)</td>\n",
       "      <td>0.998863</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       setting  held_out_auc\n",
       "0                             headline (as-is)      0.998863\n",
       "1              de-duplicated (0% rows removed)      0.998863\n",
       "2  shortcut feature dropped (LONGEST_FLOW_PKT)      0.998863"
      ]
     },
     "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": "b3859217",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3b932a3a",
   "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 = 0.9982 +/- 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": "4ecd536b",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "On the standardized NetFlow features the learners score high, but **not uniformly**. Three tree learners cluster at the top of the printed table. XGBoost leads on ROC-AUC at **0.998863**, LightGBM is second at **0.998699**, RandomForest third at **0.997670**. LightGBM therefore sits near the top here \u2014 it is not the weak learner. The linear model is the one that falls away: ROC-AUC **0.839443**. Even so, its accuracy **0.848169** clears the majority-class baseline of **0.7258**. No learner in that table lands below the baseline. Read the whole comparison table, not just the best row. The audit and ablation printed above locate *why* the tree scores are high. Read the single-feature AUC next to the drop-the-top-feature ablation. Dropping the strongest feature does not move the printed ablation AUC. So the separability is **multi-feature**, not a one-header-field shortcut. It reflects how these flows were generated. Because the schema was built for cross-dataset use, the honest next step is train-on-one / test-on-another. That is a test **we did not run here**, so we make no transfer claim. A cross-domain study covered four NetFlow-standardized NIDS datasets. No model it tested generalised across all four (Layeghy & Portmann, 2023). A single in-distribution score cannot answer that question.\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.7258**. 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 **0.9982**). Strongest *single* feature: `LONGEST_FLOW_PKT` at AUC **0.7637**. The ablation refutes a single-feature story. Dropping that feature barely moves the AUC: **0.998863 \u2192 0.998863**. So the separability is **multi-feature**. That reflects how this corpus was generated, not one leaky column. De-duplication changed nothing. There are no exact duplicates to remove. The 0.000000 difference is re-split noise, not a de-duplication effect. Data-trust grade: **A**. It is the worse of two independent sub-checks. Single-feature AUC 0.7637 scores **A**. Train/test exact-row overlap 0.000 scores **A**. Neither check flags a problem, so nothing here explains the score away. Operational false-positive rate at threshold 0.5: **0.0231**. Worst per-group recalls, exactly as printed: {`ransomware`: 0.904, `mitm`: 0.934, `scanning`: 0.989, `backdoor`: 0.997, `dos`: 0.998, `injection`: 0.999}. The weakest group sits at **0.904**, which is where detection is thinnest. **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": "b4a9bac3",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. Moustafa, N. (2021). A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets. *Sustainable Cities and Society*, 72, 102994. **The ToN-IoT origin \u2014 the corpus these NetFlow records were derived from.**\n",
    "2. Sarhan, M., Layeghy, S. & Portmann, M. (2022). Towards a Standard Feature Set for Network Intrusion Detection System Datasets. *Mobile Networks and Applications*, 27(1), 357\u2013370 (arXiv:2101.11315). **The NetFlow conversion \u2014 defines the 43-feature NF-*-v2 datasets used here.**\n",
    "3. Sarhan, M., Layeghy, S., Moustafa, N. & Portmann, M. (2021). NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems. In *Big Data Technologies and Applications (BDTA 2020)*, LNICST vol. 371, pp. 117\u2013135. Springer (the earlier 8-feature v1 datasets; preprint arXiv:2011.09144).\n",
    "4. Koroniotis, N., Moustafa, N., Sitnikova, E. & Turnbull, B. (2019). Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset. *Future Generation Computer Systems*, 100, 779\u2013796. (Origin of the sibling NF-BoT-IoT-v2 set.)\n",
    "5. Moustafa, N. & Slay, J. (2015). UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set). *2015 Military Communications and Information Systems Conference (MilCIS)*, IEEE, pp. 1\u20136. (Origin of the sibling NF-UNSW-NB15-v2 set.)\n",
    "6. Layeghy, S. & Portmann, M. (2023). Explainable Cross-domain Evaluation of ML-based Network Intrusion Detection Systems. *Computers & Electrical Engineering*, 108, 108692. (Cross-domain test over four NetFlow-standardized datasets.)\n",
    "7. Sommer, R. & Paxson, V. (2010). Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. *IEEE S&P*."
   ]
  }
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