{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5741b86c",
   "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 malware detectors on EMBER static PE features, without executing any file.\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, and say when the grouping is binary and adds nothing.\n",
    "5. Say what anonymised features can and cannot support as an explanation.\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 9: Supply-Chain Integrity and Counterfeit Detection** \u2014 Learning objectives 2 and 3 (section 9.1) separate documentation gaps from tamper evidence, and warn that screening signals are **not independent**. Both apply to artifact-derived features.\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": "2fe281ce",
   "metadata": {},
   "source": [
    "# Static PE Malware Detection on EMBER-2018\n",
    "### Model comparison + validity audit on ~800k labelled PE feature vectors (EMBER)\n",
    "\n",
    "**Abstract:** EMBER (Anderson & Roth, 2018) is the canonical open benchmark for **static** Windows PE malware detection. It gives 2,381 engineered features (byte histograms, imports, header fields, strings statistics) per binary, with no need to run the file. We use the ~800k labelled 2018-v2 vectors (dropping the unlabeled split), compare four learners, and audit whether the score reflects generalizable structure or a benchmark artifact. This is a **new domain** for the series \u2014 host/file analysis, not network traffic."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "664ea5b5",
   "metadata": {},
   "source": [
    "## 1. Research problem\n",
    "\n",
    "**Task:** Classify a Windows PE file as benign or malware from static features only. Static detection is the front line of endpoint antivirus (it scales to millions of files without execution). The open question EMBER was built to study is how well such models generalize to *future* malware. A single in-distribution split cannot show that."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8df5f1af",
   "metadata": {},
   "source": [
    "## 2. Literature review\n",
    "\n",
    "- **Anderson & Roth (2018)** \u2014 *EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models*: the dataset, its 2,381-feature vector, and a LightGBM baseline.\n",
    "- **Raff et al. (2018)** \u2014 *Malware Detection by Eating a Whole EXE*: raw-byte deep models, an alternative to engineered features.\n",
    "- **Kolosnjaji et al. (2018)** \u2014 adversarial evasion of PE malware classifiers.\n",
    "- **Sommer & Paxson (2010)** \u2014 the closed-world ML 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",
    "| Anderson & Roth (2018) \u2014 LightGBM on EMBER features | strong in-distribution; time-split generalization is the hard part |\n",
    "| Raw-byte deep models (Raff et al., 2018) | competitive but heavier; both are evadable (Kolosnjaji 2018) |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3cd813ec",
   "metadata": {},
   "source": [
    "## 3. Dataset provenance & honesty caveats\n",
    "\n",
    "| Property | Value |\n",
    "|---|---|\n",
    "| Source | Kaggle `dhoogla/ember-2018-v2-features` (parquet of EMBER-2018 v2 vectors) |\n",
    "| Rows | ~800k **labelled** PE files (unlabeled -1 rows dropped) |\n",
    "| Label | 0 benign / 1 malware (\u224850/50) |\n",
    "| Access | Kaggle API token required |\n",
    "\n",
    "**Honestly:** these are *static* features \u2014 no dynamic/behavioural signal \u2014 and the set is a curated benchmark. A high in-distribution score therefore does not imply detection of *novel* malware. EMBER's own design point is the **temporal split** (train on earlier months, test on later). We use a random split here. We flag the temporal test as the honest generalization measure we did not run.\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/ember-2018-v2-features` -> `/tmp/kg_ember2018`. It is about **2 GB** 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": "216dc3c3",
   "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": "13ff5c39",
   "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": "46128315",
   "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": "44fb03c8",
   "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": "f0b06bd8",
   "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.\n",
    "\n",
    "**On this corpus `family` is binary:** the cell sets it from the label, `benign` or `malware`. This parquet ships feature columns and `Label`, nothing else. There is no finer taxonomy to group by."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "12249562",
   "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": "46ee0714",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded 799,876 labelled PE files x 2341 static features; malware rate 0.5000\n"
     ]
    }
   ],
   "source": [
    "import os, glob\n",
    "# EMBER (Anderson & Roth, 2018): static features of Windows PE files \u2014 the canonical open benchmark\n",
    "# for ML malware detection. dhoogla's parquet holds the 2018 v2 feature vectors. Self-contained.\n",
    "os.environ.setdefault('KAGGLE_KEY', open(os.path.expanduser('~/.kaggle/access_token')).read().strip())\n",
    "DEST = '/tmp/kg_ember2018'; os.makedirs(DEST, exist_ok=True)\n",
    "if not glob.glob(DEST + '/**/*.parquet', recursive=True):\n",
    "    import kaggle; kaggle.api.authenticate()\n",
    "    print('downloading EMBER-2018 features (one-time)...')\n",
    "    kaggle.api.dataset_download_files('dhoogla/ember-2018-v2-features', 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",
    "# EMBER Label is 0 (benign) / 1 (malicious) / -1 (UNLABELED). Drop the unlabeled rows \u2014 you cannot\n",
    "# train supervised on them \u2014 leaving ~800k labelled samples (a ~50/50 split).\n",
    "df = df[df['Label'] != -1].reset_index(drop=True)\n",
    "assert len(df) >= 400_000, f'floor not met: {len(df):,}'\n",
    "df['y'] = (df['Label'].astype(int) == 1).astype(int)\n",
    "df['family'] = df['y'].map({0: 'benign', 1: 'malware'})        # binary set: no finer family labels\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):,} labelled PE files x {len(feat)} static features; malware rate {y.mean():.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f730518f",
   "metadata": {},
   "source": [
    "## 7. Exploratory data analysis\n",
    "\n",
    "**Plot wording \u2014 `attack` means `malware` here:** the shared setup cell fixes `POS_WORD = 'attack'` for the whole series. This loader does not override it. So the class-balance panel, the \"Top attack families\" title and the section-9 confusion matrix all print `attack`. This corpus is Windows PE files, not network traffic. The positive class is malware. The wording is a defect in the shared plotting code. It is disclosed here rather than patched, because these outputs come from one long fixed run.\n",
    "\n",
    "**Left panel \u2014 the log axis exaggerates:** its limits span a very narrow band, so two near-equal bars look lopsided. The loader printed a malware rate of **0.5000**. The corpus is balanced.\n",
    "\n",
    "**Right panel \u2014 one bar, `malware`:** `family` is built from the label, so the panel just restates the positive-class count. It is not a family mix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d15bdc19",
   "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": "b95389ab",
   "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": "80fe0938",
   "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": "1b27f611",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "materialized 799,876 rows | trained on 120,000 (stratified subsample) | held-out 199,969\n",
      "MAJORITY-CLASS BASELINE accuracy = 0.5000  (any model must beat THIS, not 0.5, to be interesting)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best model: XGBoost\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .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>0.959499</td>\n",
       "      <td>0.992918</td>\n",
       "      <td>15.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.952088</td>\n",
       "      <td>0.991080</td>\n",
       "      <td>11.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LightGBM</td>\n",
       "      <td>0.946487</td>\n",
       "      <td>0.989176</td>\n",
       "      <td>8.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LogisticRegression</td>\n",
       "      <td>0.904070</td>\n",
       "      <td>0.964657</td>\n",
       "      <td>9.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MajorityBaseline</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                model  accuracy   roc_auc  train_s\n",
       "0             XGBoost  0.959499  0.992918     15.8\n",
       "1        RandomForest  0.952088  0.991080     11.8\n",
       "2            LightGBM  0.946487  0.989176      8.6\n",
       "3  LogisticRegression  0.904070  0.964657      9.9\n",
       "4    MajorityBaseline  0.500000  0.500000      0.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# --- Model comparison: four learners on the same held-out split ---\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score\n",
    "import xgboost as xgb, lightgbm as lgb\n",
    "\n",
    "# Stratified split keeps the class ratio in both halves.\n",
    "Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=0.25, random_state=RANDOM_STATE, stratify=y)\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "N_MATERIALIZED = len(y)                                          # the full corpus we loaded (see printed count)\n",
    "# HONEST DISCLOSURE: we do NOT train on all N. We fit on a STRATIFIED subsample (<=120k) because\n",
    "# these learners saturate long before then on this data. Every headline below is a SUBSAMPLE\n",
    "# number, not a full-corpus number \u2014 saying otherwise would be the fabrication this course forbids.\n",
    "if len(Xtr) > 120_000:\n",
    "    Xtr, _, ytr, _ = train_test_split(Xtr, ytr, train_size=120_000, random_state=RANDOM_STATE,\n",
    "                                      stratify=ytr)               # genuinely stratified, not random\n",
    "MAJORITY_BASELINE = max(np.mean(yte), 1 - np.mean(yte))          # accuracy of 'always predict majority'\n",
    "print(f'materialized {N_MATERIALIZED:,} rows | trained on {len(Xtr):,} (stratified subsample) | '\n",
    "      f'held-out {len(yte):,}')\n",
    "print(f'MAJORITY-CLASS BASELINE accuracy = {MAJORITY_BASELINE:.4f}  '\n",
    "      f'(any model must beat THIS, not 0.5, to be interesting)')\n",
    "\n",
    "models = {                                                        # four standard, diverse learners\n",
    "    'LogisticRegression': make_pipeline(StandardScaler(), LogisticRegression(max_iter=300)),  # scaled!\n",
    "    'RandomForest': RandomForestClassifier(n_estimators=60, n_jobs=-1, random_state=RANDOM_STATE),\n",
    "    'XGBoost': xgb.XGBClassifier(n_estimators=80, max_depth=6, tree_method='hist', n_jobs=-1,\n",
    "                                 eval_metric='logloss', random_state=RANDOM_STATE),\n",
    "    'LightGBM': lgb.LGBMClassifier(n_estimators=80, n_jobs=-1, verbose=-1, random_state=RANDOM_STATE),\n",
    "}\n",
    "rows, fitted = [], {}\n",
    "for name, m in models.items():                                    # fit + score each model\n",
    "    t = time.perf_counter(); m.fit(Xtr, ytr); fitted[name] = m\n",
    "    p = m.predict_proba(Xte)[:, 1]                                # positive-class probability on held-out\n",
    "    rows.append({'model': name, 'accuracy': round(accuracy_score(yte, (p>0.5).astype(int)), 6),\n",
    "                 'roc_auc': round(roc_auc_score(yte, p), 6),      # 6 dp: a 1.000000 is a red flag, not a win\n",
    "                 'train_s': round(time.perf_counter()-t, 1)})\n",
    "rows.append({'model': 'MajorityBaseline', 'accuracy': round(MAJORITY_BASELINE, 4),\n",
    "             'roc_auc': 0.5, 'train_s': 0.0})            # show the baseline IN the ranking table\n",
    "comparison = pd.DataFrame(rows).sort_values('roc_auc', ascending=False).reset_index(drop=True)\n",
    "_ranked = comparison[comparison.model != 'MajorityBaseline']\n",
    "best_name = _ranked.iloc[0]['model']; best = fitted[best_name]  # winner by ROC-AUC (excl. baseline)\n",
    "print('best model:', best_name); comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6093610e",
   "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.\n",
    "\n",
    "**On this corpus the grouping is binary:** `family` is `benign` / `malware`, taken from the label. The recall panel therefore shows a single bar. Its value is recall on the positive class, nothing more. No rare family can surface here, so this chart cannot expose a weak malware family on EMBER.\n",
    "\n",
    "Real family labels do exist upstream. `ember/__init__.py` in the `elastic/ember` repository lists the metadata keys `sha256`, `appeared`, `label`, `avclass`. The `avclass` field holds a family name produced by the AVClass labelling tool (Sebastian et al., 2016). This Kaggle parquet carries only the feature columns and `Label`, so that field never reaches `df`. **Untested hypothesis:** joining the original EMBER JSONL metadata on `sha256` would restore genuine families and make this panel informative. One-line check that the join key is absent here: `print([c for c in df.columns if not c.startswith(\"F\")])`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "57af9499",
   "metadata": {},
   "outputs": [
    {
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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 = 0.0388  (3,877 benign flagged of 99,994)\n",
      "worst per-family recalls: {'malware': 0.958}\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": "0efb5c09",
   "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": "64dc5466",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best single-feature AUC = 0.7112  (feature: F499)\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": "dd2ecfb2",
   "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 malware and benign distributions barely overlap. That is its own generation artifact. The numbers below decide which story is true here, not the prose.\n",
    "\n",
    "**On this corpus:** EMBER is collected from real files, not simulated. Read a flat ablation here as redundancy across many static features, not as a generator artifact."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bc22c5bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ablation \u2014 how much of the headline survives once each artifact is removed:\n"
     ]
    },
    {
     "data": {
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       "    }\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>0.992918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de-duplicated (0% rows removed)</td>\n",
       "      <td>0.992881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>shortcut feature dropped (F499)</td>\n",
       "      <td>0.992907</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           setting  held_out_auc\n",
       "0                 headline (as-is)      0.992918\n",
       "1  de-duplicated (0% rows removed)      0.992881\n",
       "2  shortcut feature dropped (F499)      0.992907"
      ]
     },
     "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": "3af6e457",
   "metadata": {},
   "source": [
    "## 12. Reproducibility & robustness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9810fd4d",
   "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 = 0.9890 +/- 0.0006  (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": "169a5da3",
   "metadata": {},
   "source": [
    "## 13. Scientific conclusion\n",
    "\n",
    "On engineered static features the learners separate malware from benign PE files strongly. But the feature-importance view can only name columns as `F###`, because this release ships **anonymised** features. We therefore cannot attribute the decision to imports, header anomalies or byte-entropy without a column mapping that is not published with the data. But two honesty limits stand. Static features miss packed/obfuscated behaviour that only shows at runtime. A random split measures in-distribution accuracy, not the ability to catch *tomorrow's* malware.\n",
    "\n",
    "**Validity ledger \u2014 read the headline against these printed numbers:** Majority-class baseline **accuracy**: **0.5000**. The accuracy column must clear that bar to mean anything. For ROC-AUC the trivial baseline is 0.5, not that figure. Winning learner: **XGBoost** (3-fold CV ROC-AUC **0.9890**). Strongest *single* feature: `F499` at AUC **0.7112**. The ablation refutes a single-feature story. Dropping that feature barely moves the AUC: **0.992918 \u2192 0.992907**. So the separability is **multi-feature**. That reflects redundancy across many static features, not one leaky column. De-duplication changed nothing. There are no exact duplicates to remove. The 0.000037 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 0.7112 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: **0.0388**. Worst per-group recalls, exactly as printed: {`malware`: 0.958}. That is the *only* group, because `family` is binary here. So **0.958** is recall on malware overall, not a weak-family finding. **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": "bda436f6",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "1. Anderson, H.S. & Roth, P. (2018). EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models. *arXiv:1804.04637*.\n",
    "2. Raff, E. et al. (2018). Malware Detection by Eating a Whole EXE. *AAAI Workshops*.\n",
    "3. Kolosnjaji, B. et al. (2018). Adversarial Malware Binaries. *EUSIPCO*.\n",
    "4. Sommer, R. & Paxson, V. (2010). Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. *IEEE S&P*.\n",
    "5. Sebastian, M., Rivera, R., Kotzias, P. & Caballero, J. (2016). AVclass: A Tool for Massive Malware Labeling. *RAID 2016 (Research in Attacks, Intrusions, and Defenses)*, Springer."
   ]
  }
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