{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "95216eca",
   "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 CIC-DDoS2019, reporting recall for each DDoS type.\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 4: Attack Graph Analytics** \u2014 Learning objective 5 (section 4.1) separates a **one-at-a-time** perturbation from the smallest perturbation that reverses a ranking, and warns the first **overstates stability**. Dropping only the top feature and refitting is exactly that weaker test, so read it as a floor.\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",
    "- **Chapter 12: Autonomous Remediation and Safety Verification** \u2014 Learning objective 1 (section 12.1) assembles evidence into a **safety case** with stated assumptions. Section 13 is that safety case for a model score.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d6e0366",
   "metadata": {},
   "source": [
    "# DDoS Detection with Per-Type Recall on CIC-DDoS2019\n",
    "### Model comparison + per-DDoS-type recall + validity audit (~431k flows)\n",
    "\n",
    "**Abstract:** CIC-DDoS2019 (Sharafaldin et al., 2019) is a modern DDoS dataset with a fine attack **taxonomy**. The taxonomy spans reflective/amplification floods (NTP, TFTP, LDAP, MSSQL, SNMP, DNS) and volumetric floods (UDP, SYN), described by CICFlowMeter features. We use dhoogla's cleaned parquet (~431k flows). We compare four learners and, crucially, report recall **per DDoS type** so the rare attack classes are visible, not just the dominant floods."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb639db2",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** detect DDoS flows from CICFlowMeter features. The label this notebook trains on is **binary** \u2014 benign versus attack.\n",
    "\n",
    "The notebook does **not** name the attack type. No multi-class model is ever fitted. The taxonomy enters only as a *stratifier*: the binary detector's recall is reported separately inside each DDoS type. That answers \"which types does the detector miss?\", not \"which type is this flow?\".\n",
    "\n",
    "DDoS is volumetric, so aggregate accuracy is easy and misleading. The operational questions are per-type recall and the false-positive rate on benign traffic. Those decide whether legitimate users get collateral-blocked."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16a748b1",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **Sharafaldin, Lashkari, Hakak & Ghorbani (2019)** \u2014 *Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy* (IEEE ICCST). It covers the dataset, its taxonomy, and CICFlowMeter features.\n",
    "- **Mirkovic & Reiher (2004)** \u2014 the classic DDoS attack/defense taxonomy.\n",
    "- **Jonker, King, Krupp, Rossow, Sperotto & Dainotti (2017)** \u2014 *Millions of Targets Under Attack: a Macroscopic Characterization of the DoS Ecosystem* (IMC). It is an Internet-scale measurement of DoS **events and their victims**. It fuses network-telescope backscatter (randomly spoofed attacks) with amplification-honeypot logs, and adds DNS data on adoption of DDoS Protection Services. It measures attacks observed in the wild. It is **not** a study of booter/stresser \"DDoS-as-a-service\" markets, and not a detection method.\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",
    "| Sharafaldin et al. (2019) \u2014 ID3/RF/NB on CICFlowMeter features | flow features near-separate floods; benign is a small minority |\n",
    "| Flow-based DDoS detectors | high accuracy is base-rate-driven; FPR on benign is the real metric |\n",
    ""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21c952fd",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `dhoogla/cicddos2019` (cleaned parquet) |\n",
    "| Rows | ~431k flows (dhoogla deduplicated the raw 50M+) |\n",
    "| Label | `Label` = Benign or a DDoS type (18 classes) |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly:** benign is only ~23% of the cleaned set, so accuracy is inflated by the attack-heavy mix. Per-type recall and the benign false-positive rate are the honest metrics. Flow-count features can act as shortcuts for volumetric floods, 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/cicddos2019` -> `/tmp/kg_cicddos2019`. It is about **34 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": "be5bc12b",
   "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": "20a81553",
   "metadata": {},
   "source": [
    "**Figure 4.1 \u2014 Solution design (methodology).**\n",
    "\n",
    "<img src=\"data:image/png;base64,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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 4.1 \u2014 Solution design (methodology).\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8594879e",
   "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": "b862bc76",
   "metadata": {},
   "source": [
    "**Figure 5.1 \u2014 Implementation architecture.**\n",
    "\n",
    "<img src=\"data:image/png;base64,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\" style=\"max-width:100%;height:auto;\" alt=\"Figure 5.1 \u2014 Implementation architecture.\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4069987",
   "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": "91e3690a",
   "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": "5ebe9746",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 431,371 flows x 65 features; attack rate 0.7732; families ['Benign', 'DrDoS_DNS', 'DrDoS_LDAP', 'DrDoS_MSSQL', 'DrDoS_NTP', 'DrDoS_NetBIOS']...\n"
     ]
    }
   ],
   "source": [
    "import os, glob\n",
    "# CIC-DDoS2019 (Sharafaldin et al., 2019): reflective/exploitation DDoS attacks with CICFlowMeter\n",
    "# features and a fine attack taxonomy (NTP, TFTP, Syn, UDP, LDAP, MSSQL, \u2026). dhoogla's cleaned\n",
    "# parquet is used here. Self-contained Kaggle download.\n",
    "os.environ.setdefault('KAGGLE_KEY', open(os.path.expanduser('~/.kaggle/access_token')).read().strip())\n",
    "DEST = '/tmp/kg_cicddos2019'; os.makedirs(DEST, exist_ok=True)\n",
    "if not glob.glob(DEST + '/**/*.parquet', recursive=True):\n",
    "    import kaggle; kaggle.api.authenticate()\n",
    "    print('downloading CIC-DDoS2019 (cleaned parquet, one-time)...')\n",
    "    kaggle.api.dataset_download_files('dhoogla/cicddos2019', path=DEST, unzip=True, quiet=True)\n",
    "files = sorted(glob.glob(DEST + '/**/*.parquet', recursive=True))\n",
    "df = pd.concat([pd.read_parquet(f) for f in files], ignore_index=True)\n",
    "df.columns = [str(c).strip() for c in df.columns]\n",
    "assert len(df) >= 400_000, f'floor not met: {len(df):,}'\n",
    "LABEL = [c for c in df.columns if c.lower() == 'label'][0]\n",
    "df['y'] = (df[LABEL].astype(str).str.strip().str.lower() != 'benign').astype(int)\n",
    "df['family'] = df[LABEL].astype(str).str.strip()               # fine DDoS type (NTP/TFTP/Syn/UDP/\u2026)\n",
    "DROP = [LABEL, 'y', 'family']\n",
    "feat = [c for c in df.columns if c not in DROP]\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "X = df[feat].copy()\n",
    "idlike = [c for c in X.select_dtypes(include='object').columns if X[c].nunique() > 0.5*len(X)]\n",
    "X = X.drop(columns=idlike)                                     # drop id/timestamp-like leaky columns\n",
    "for c in X.select_dtypes(include='object').columns:\n",
    "    X[c] = LabelEncoder().fit_transform(X[c].astype(str))\n",
    "X = X.apply(pd.to_numeric, errors='coerce').replace([np.inf,-np.inf],np.nan).fillna(0.0)\n",
    "X = X.clip(-1e15, 1e15); X = X.loc[:, X.nunique() > 1]         # float32-safe; drop constants\n",
    "import re\n",
    "_seen, _cols = {}, []\n",
    "for _c in X.columns:                                           # unique LightGBM-safe names\n",
    "    _c = re.sub(r'[^0-9A-Za-z_]+', '_', str(_c)).strip('_') or 'f'\n",
    "    _seen[_c] = _seen.get(_c, -1) + 1\n",
    "    _cols.append(_c if _seen[_c] == 0 else f'{_c}_{_seen[_c]}')\n",
    "X.columns = _cols; feat = list(X.columns)\n",
    "y = df['y'].to_numpy(); family = df['family'].to_numpy()\n",
    "print(f'loaded {len(df):,} flows x {len(feat)} features; attack rate {y.mean():.4f}; families {sorted(set(family))[:6]}...')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8041a77e",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "613c2b25",
   "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": "168c485b",
   "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": "882bedf8",
   "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": "52792534",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 431,371 rows | trained on 120,000 (stratified subsample) | held-out 107,843\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.7732  (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>0.999471</td>\n",
       "      <td>0.999997</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LightGBM</td>\n",
       "      <td>0.999416</td>\n",
       "      <td>0.999995</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.999184</td>\n",
       "      <td>0.999912</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.995104</td>\n",
       "      <td>0.999328</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.773200</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  0.999471  0.999997      0.4\n",
       "1            LightGBM  0.999416  0.999995      1.1\n",
       "2        RandomForest  0.999184  0.999912      0.7\n",
       "3  LogisticRegression  0.995104  0.999328      0.3\n",
       "4    MajorityBaseline  0.773200  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": "f1b4691e",
   "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": "6b9e4299",
   "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 = 0.0011  (26 benign flagged of 24,458)\n",
      "worst per-family recalls: {'WebDDoS': 0.895, 'DrDoS_DNS': 0.996, 'Syn': 0.999, 'DrDoS_NTP': 0.999, 'UDP-lag': 1.0, 'DrDoS_UDP': 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": "baf4d748",
   "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": "361986ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.9182  (feature: Packet_Length_Min)\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) = 0.029\n",
      "TRAIN/TEST exact-row contamination       = 0.021  (single-feat grade B, contam grade A)\n",
      "==> data trust grade: B   (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": "b7ba0baf",
   "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": "2bb3d9a4",
   "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>0.999997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (3% rows removed)</td>\n",
       "      <td>0.999997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (Packet_Length_Min)</td>\n",
       "      <td>0.999997</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        setting  held_out_auc\n",
       "0                              headline (as-is)      0.999997\n",
       "1               de-duplicated (3% rows removed)      0.999997\n",
       "2  shortcut feature dropped (Packet_Length_Min)      0.999997"
      ]
     },
     "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": "744db95c",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1ccd45d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "seed=0 | numpy 2.3.5 | sklearn 1.9.0 | xgboost 1.6.2 | lightgbm 4.7.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost 3-fold CV ROC-AUC = 1.0000 +/- 0.0000  (mean +/- std across 3 stratified folds; a small std means a stable estimate on this split)\n"
     ]
    }
   ],
   "source": [
    "# --- Reproducibility & robustness ---\n",
    "import sklearn\n",
    "from sklearn.model_selection import StratifiedKFold, cross_val_score\n",
    "print(f'seed={RANDOM_STATE} | numpy {np.__version__} | sklearn {sklearn.__version__} | '\n",
    "      f'xgboost {xgb.__version__} | lightgbm {lgb.__version__}')\n",
    "# 3-fold cross-validated ROC-AUC of the winning model (fresh clone, bounded subsample) -> mean +/- std.\n",
    "from sklearn.base import clone\n",
    "cvX, cvy = Xtr.iloc[:40_000], ytr[:40_000]\n",
    "def _auc_scorer(est, Xv, yv):                                   # robust to xgboost's 2-col predict_proba\n",
    "    p = est.predict_proba(Xv)\n",
    "    p = p[:, 1] if getattr(p, 'ndim', 1) == 2 else p\n",
    "    return roc_auc_score(yv, p)\n",
    "try:\n",
    "    cv = cross_val_score(clone(best), cvX, cvy,\n",
    "                         cv=StratifiedKFold(3, shuffle=True, random_state=RANDOM_STATE),\n",
    "                         scoring=_auc_scorer, error_score='raise')\n",
    "    assert np.all(np.isfinite(cv)), 'non-finite CV folds'   # FAIL CLOSED: never narrate a NaN as evidence\n",
    "    print(f'{best_name} 3-fold CV ROC-AUC = {cv.mean():.4f} +/- {cv.std():.4f}  '\n",
    "          f'(mean +/- std across 3 stratified folds; a small std means a stable estimate on this split)')\n",
    "except Exception as e:\n",
    "    print(f'CV UNAVAILABLE ({type(e).__name__}: {str(e)[:60]}); rely on the single held-out AUC above \u2014 '\n",
    "          f'we do NOT report a CV number we could not compute')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4265270f",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "Volumetric DDoS flows are easy to separate on flow features. So the aggregate score is flattered by the attack-heavy mix. The honest reading is per-DDoS-type recall: does the model catch the rarer reflection attacks, not just the dominant floods? The other honest metric is the benign false-positive rate: would real users be collateral-blocked?\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.7732**. The accuracy column must clear that bar to mean anything. For ROC-AUC the trivial baseline is 0.5, not that figure. Winning learner: **XGBoost** (3-fold CV ROC-AUC **1.0000**). Strongest *single* feature: `Packet_Length_Min` at AUC **0.9182**. The ablation refutes a single-feature story. Dropping that feature barely moves the AUC: **0.999997 \u2192 0.999997**. So the separability is **multi-feature**. That reflects how this corpus was generated, not one leaky column. De-duplication does **not** lower the score (**0.999997**). So duplicate rows are not what props it up. Train/test overlap is negligible too, so neither issue explains the result. Data-trust grade: **B**. It is the worse of two independent sub-checks. Single-feature AUC 0.9182 scores **B**. Train/test exact-row overlap 0.021 scores **A**. The single-feature check drives the grade, not the overlap check. Train/test overlap separately scores A, so overlap is not the issue here. Operational false-positive rate at threshold 0.5: **0.0011**. Worst per-group recalls, exactly as printed: {`WebDDoS`: 0.895, `DrDoS_DNS`: 0.996, `Syn`: 0.999, `DrDoS_NTP`: 0.999, `UDP-lag`: 1.0, `DrDoS_UDP`: 1.0}. The weakest group sits at **0.895**, 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": "de779c44",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. Sharafaldin, I., Lashkari, A.H., Hakak, S. & Ghorbani, A.A. (2019). Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy. *IEEE Int. Carnahan Conf. on Security Technology (ICCST)*.\n",
    "2. Mirkovic, J. & Reiher, P. (2004). A Taxonomy of DDoS Attack and Defense Mechanisms. *ACM SIGCOMM CCR*.\n",
    "3. Jonker, M., King, A., Krupp, J., Rossow, C., Sperotto, A. & Dainotti, A. (2017). Millions of Targets Under Attack: a Macroscopic Characterization of the DoS Ecosystem. *Proc. ACM Internet Measurement Conference (IMC '17)*.\n",
    "4. Sommer, R. & Paxson, V. (2010). Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. *IEEE S&P*."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "seas8414-phase-notebooks",
   "language": "python",
   "name": "seas8414-phase-notebooks"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}