{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "080d7668",
   "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 5G-NIDD flows, after removing capture-order and index columns that track position in the capture rather than behaviour.\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. Recognise capture-order and index columns (`Seq`, `Offset`, `Unnamed: 0`) in a flow schema and drop them before any model sees the data.\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 protocol fields an attacker controls, which is the same concern.\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 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": "4ace23ae",
   "metadata": {},
   "source": [
    "# Intrusion Detection on a 5G Network: the 5G-NIDD Dataset\n",
    "### Model comparison + validity audit on 5G-NIDD (\u22651M records, via Kaggle)\n",
    "\n",
    "**Abstract:** 5G-NIDD is intrusion-detection data captured over a **real 5G test network** (Samarakoon et al., 2022) \u2014 ~1.2M labeled flows. We compare four learners and audit whether high scores reflect 5G attack detection or the usual flow shortcuts."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed534b59",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Classify flows on a 5G radio-access test network as benign or malicious (DoS/DDoS, port scans). 5G's higher throughput and new RAN topology make representative NIDS data scarce, which is what makes 5G-NIDD notable \u2014 and worth auditing rather than trusting."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c2d7a0e",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **Samarakoon et al. (2022)** \u2014 5G-NIDD: a labeled NIDS dataset over a real 5G test network.\n",
    "- **Sharafaldin et al. (2018)** \u2014 CICFlowMeter-style flow features and their pitfalls.\n",
    "- **Sommer & Paxson (2010)** \u2014 closed-world NIDS scores rarely deploy.\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",
    "| Samarakoon et al. (2022) \u2014 baseline ML | in-distribution single testbed |\n",
    "| Typical DL-NIDS | benign/attack ratio here is not realistic |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb3da8aa",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `humera11/5g-nidd-dataset` (5G-NIDD) |\n",
    "| Rows | ~1.2M flows (Combined.csv) |\n",
    "| Label | `Label` = Benign / Malicious |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly:** a single 5G test-network capture; `Attack Type` and `Attack Tool` columns are dropped from features to prevent trivial leakage.\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 `humera11/5g-nidd-dataset` -> `/tmp/kg_5g-nidd-dataset`. It is about **263 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": "bdb01c89",
   "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": "f717e620",
   "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": "bb762dc0",
   "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": "cb4a61cd",
   "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": "d1117839",
   "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": "259e866e",
   "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": "bb927ac5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 1,215,890 rows x 46 features; positive rate 0.6071\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 = 'humera11/5g-nidd-dataset'; DEST = '/tmp/kg_' + REF.split('/')[-1]\n",
    "if not os.path.exists(DEST):                                   # download + unzip once (cached)\n",
    "    kaggle.api.dataset_download_files(REF, path=DEST, unzip=True, quiet=True)\n",
    "NROWS = 1_500_000                                              # per-file read cap (memory bound)\n",
    "files = sorted(glob.glob(DEST + '/**/*.csv', recursive=True))\n",
    "df = pd.concat([pd.read_csv(f, low_memory=False, nrows=NROWS) for f in files], ignore_index=True)  # combine day/part files\n",
    "df.columns = [str(c).strip() for c in df.columns]             # strip header whitespace\n",
    "LABEL = 'Label'; FAMILY = 'Attack Type'\n",
    "df['y'] = (df[LABEL].astype(str).str.strip().str.lower() != 'benign').astype(int)  # benign=0\n",
    "df['family'] = df[FAMILY].astype(str).str.strip()             # descriptive attack family\n",
    "df = df.reset_index(drop=True)\n",
    "assert len(df) >= 1_000_000, f'floor not met: {len(df):,}'    # honesty gate: >= 1M rows\n",
    "DROP = list({LABEL, FAMILY, 'y', 'family'} | set(['Attack Tool', 'Seq', 'Offset', 'Unnamed: 0']))  # 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": "ae9d27c4",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "de60733a",
   "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": "6fd72342",
   "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": "854a872e",
   "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": "362c22f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 1,215,890 rows | trained on 120,000 (stratified subsample) | held-out 303,973\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.6071  (any model must beat THIS, not 0.5, to be interesting)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best model: LightGBM\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>LightGBM</td>\n",
       "      <td>0.766585</td>\n",
       "      <td>0.874514</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>XGBoost</td>\n",
       "      <td>0.766992</td>\n",
       "      <td>0.874420</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.760893</td>\n",
       "      <td>0.854603</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.764667</td>\n",
       "      <td>0.825770</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.607100</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            LightGBM  0.766585  0.874514      1.3\n",
       "1             XGBoost  0.766992  0.874420      0.5\n",
       "2        RandomForest  0.760893  0.854603      1.6\n",
       "3  LogisticRegression  0.764667  0.825770      0.8\n",
       "4    MajorityBaseline  0.607100  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": "79ab49d0",
   "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": "cfa1e297",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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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 = 0.4663  (55,697 benign flagged of 119,434)\n",
      "worst per-family recalls: {'UDPFlood': 0.866, 'HTTPFlood': 1.0, 'SlowrateDoS': 1.0, 'TCPConnectScan': 1.0, 'SYNScan': 1.0, 'UDPScan': 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": "41ee4996",
   "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": "80dd0662",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.6657  (feature: SrcTCPBase)\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) = 0.692\n",
      "TRAIN/TEST exact-row contamination       = 0.601  (single-feat grade A, contam grade F)\n",
      "==> data trust grade: F   (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": "3546528e",
   "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, all three 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. And if it **rises**, that is not vindication either. De-duplication collapses identical feature vectors that carried conflicting labels down to a single label, so the de-duplicated task is *easier*, not cleaner. The numbers below decide which story is true here, not the prose."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2f5581b1",
   "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": [
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       "    .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>0.874514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (69% rows removed)</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (SrcTCPBase)</td>\n",
       "      <td>0.874416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 setting  held_out_auc\n",
       "0                       headline (as-is)      0.874514\n",
       "1       de-duplicated (69% rows removed)      1.000000\n",
       "2  shortcut feature dropped (SrcTCPBase)      0.874416"
      ]
     },
     "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": "d5b96f92",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "10ad174b",
   "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": [
      "LightGBM 3-fold CV ROC-AUC = 0.8742 +/- 0.0031  (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": "9747478f",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "As with older NIDS benchmarks, the honest signal is per-family recall and cross-distribution testing, not aggregate accuracy on one testbed.\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.6071**. The accuracy column must clear that bar to mean anything. For ROC-AUC the trivial baseline is 0.5, not that figure. Winning learner: **LightGBM** (3-fold CV ROC-AUC **0.8742**). Strongest *single* feature: `SrcTCPBase` at AUC **0.6657**. The ablation refutes a single-feature story. Dropping that feature barely moves the AUC: **0.874514 \u2192 0.874416**. So the separability is **multi-feature**. That reflects how this corpus was generated, not one leaky column. De-duplication **raises** the AUC, to **1.000000**. That is not evidence the headline is safe. Collapsing duplicates removes the hardest rows. Identical feature vectors carrying conflicting labels get resolved to one label. The de-duplicated task is therefore *easier*, not cleaner. Data-trust grade: **F**. It is the worse of two independent sub-checks. Single-feature AUC 0.6657 scores **A**. Train/test exact-row overlap 0.601 scores **F**. The overlap check drives the grade, not the single-feature check. That says the split leaks, not that features are clean; the single-feature check separately scores A. On this A-best / F-worst scale, a D or F means the held-out number is not a generalisation estimate. It does not by itself fix the *direction* of the error, and nothing printed here fixes it either. The one run that removes the contamination scored **higher**, on the easier de-duplicated task. Treat the headline as a benchmark number, not a deployment estimate. Operational false-positive rate at threshold 0.5: **0.4663**. Worst per-group recalls, exactly as printed: {`UDPFlood`: 0.866, `HTTPFlood`: 1.0, `SlowrateDoS`: 1.0, `TCPConnectScan`: 1.0, `SYNScan`: 1.0, `UDPScan`: 1.0}. The weakest group sits at **0.866**, 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": "ea82085f",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. Samarakoon, S. et al. (2022). 5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network. *arXiv:2212.01298*.\n",
    "2. Sharafaldin, I. et al. (2018). Toward Generating a New Intrusion Detection Dataset. *ICISSP*.\n",
    "3. Sommer, R. & Paxson, V. (2010). Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. *IEEE S&P*."
   ]
  }
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