Paket Sizes.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import dns.query, dns.message, dns.rdatatype, dns.rdataclass\n",
    "from dns.rdatatype import AAAA, A, DNSKEY, TXT\n",
    "from dns.rdataclass import IN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "ALGORITHMS = {\n",
    "    5: \"rsasha1\", 8: \"rsasha256\", 10: \"rsasha512\",  # pdns also supports 7: \"rsasha1-nsec3-sha1\",\n",
    "    13: \"ecdsa256\", 14: \"ecdsa384\",\n",
    "    15: \"ed25519\", 16: \"ed448\",\n",
    "    17: \"falcon\",\n",
    "}\n",
    "ALGORITHM_COLORS = {\n",
    "    \"rsasha1\": \"#ff0000\", \"rsasha256\": \"#dd0000\", \"rsasha512\": \"#bb0000\",\n",
    "    \"ecdsa256\": \"#00ff00\", \"ecdsa384\": \"#00dd00\",\n",
    "    \"ed25519\": \"#0000ff\", \"ed448\": \"#0000dd\",\n",
    "    \"falcon\": \"#00ffff\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "scenarios = {\n",
    "    '2 A RRs with RRSIG': (A, lambda a: f'{a}.example.'),\n",
    "    '1 AAAA RR with RRSIG': (AAAA, lambda a: f'{a}.example.'),\n",
    "    '1 AAAA RR with RRSIG for Wildcard (NSEC)': (AAAA, lambda a: f'wildcard.{a}.example.'),\n",
    "    '1 AAAA RR with RRSIG for Wildcard (NSEC3)': (AAAA, lambda a: f'wildcard.{a}3.example.'),\n",
    "    '1 DNSKEY with RRSIG': (DNSKEY, lambda a: f'{a}.example.'),\n",
    "    'NSEC Proof of NX': (TXT, lambda a: f'nx.{a}.example.'),\n",
    "    'NSEC3 Proof of NX': (TXT, lambda a: f'nx.{a}3.example.'),\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_data = []\n",
    "for scenario, (rtype, name) in scenarios.items():\n",
    "    for a in ALGORITHMS.values():\n",
    "        qname = dns.name.from_text(name(a))\n",
    "        r = dns.query.tcp(dns.message.make_query(qname, rtype, want_dnssec=True), where='127.0.0.1', port=5301)\n",
    "        rwire = r.to_wire()\n",
    "        raw_data.append({\n",
    "            'scenario': scenario,\n",
    "            'algorithm': a,\n",
    "            'length': len(rwire),\n",
    "            'qname_count': [rwire.count(qname.split(i)[1].to_wire()) for i in range(len(qname), 1, -1)],\n",
    "            'qname': qname.to_text(),\n",
    "        })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "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>scenario</th>\n",
       "      <th>algorithm</th>\n",
       "      <th>length</th>\n",
       "      <th>qname_count</th>\n",
       "      <th>qname</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1 DNSKEY with RRSIG</td>\n",
       "      <td>rsasha256</td>\n",
       "      <td>627</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>rsasha256.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1 DNSKEY with RRSIG</td>\n",
       "      <td>ed25519</td>\n",
       "      <td>203</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>ed25519.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1 AAAA RR with RRSIG for Wildcard (NSEC3)</td>\n",
       "      <td>rsasha512</td>\n",
       "      <td>775</td>\n",
       "      <td>[1, 3, 3]</td>\n",
       "      <td>wildcard.rsasha5123.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2 A RRs with RRSIG</td>\n",
       "      <td>rsasha512</td>\n",
       "      <td>383</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>rsasha512.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1 AAAA RR with RRSIG for Wildcard (NSEC3)</td>\n",
       "      <td>ed448</td>\n",
       "      <td>480</td>\n",
       "      <td>[1, 3, 3]</td>\n",
       "      <td>wildcard.ed4483.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2 A RRs with RRSIG</td>\n",
       "      <td>ed25519</td>\n",
       "      <td>187</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>ed25519.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>NSEC Proof of NX</td>\n",
       "      <td>rsasha512</td>\n",
       "      <td>775</td>\n",
       "      <td>[1, 4, 4]</td>\n",
       "      <td>nx.rsasha512.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>NSEC Proof of NX</td>\n",
       "      <td>falcon</td>\n",
       "      <td>1570</td>\n",
       "      <td>[1, 4, 4]</td>\n",
       "      <td>nx.falcon.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>NSEC3 Proof of NX</td>\n",
       "      <td>ed25519</td>\n",
       "      <td>425</td>\n",
       "      <td>[1, 3, 3]</td>\n",
       "      <td>nx.ed255193.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1 AAAA RR with RRSIG</td>\n",
       "      <td>rsasha1</td>\n",
       "      <td>375</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>rsasha1.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2 A RRs with RRSIG</td>\n",
       "      <td>rsasha1</td>\n",
       "      <td>379</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>rsasha1.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>NSEC Proof of NX</td>\n",
       "      <td>ed448</td>\n",
       "      <td>475</td>\n",
       "      <td>[1, 4, 4]</td>\n",
       "      <td>nx.ed448.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1 AAAA RR with RRSIG for Wildcard (NSEC)</td>\n",
       "      <td>rsasha1</td>\n",
       "      <td>727</td>\n",
       "      <td>[1, 4, 4]</td>\n",
       "      <td>wildcard.rsasha1.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>NSEC3 Proof of NX</td>\n",
       "      <td>rsasha1</td>\n",
       "      <td>809</td>\n",
       "      <td>[1, 3, 3]</td>\n",
       "      <td>nx.rsasha13.example.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1 AAAA RR with RRSIG for Wildcard (NSEC)</td>\n",
       "      <td>ecdsa256</td>\n",
       "      <td>347</td>\n",
       "      <td>[1, 4, 4]</td>\n",
       "      <td>wildcard.ecdsa256.example.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     scenario  algorithm  length qname_count  \\\n",
       "33                        1 DNSKEY with RRSIG  rsasha256     627      [2, 2]   \n",
       "37                        1 DNSKEY with RRSIG    ed25519     203      [2, 2]   \n",
       "26  1 AAAA RR with RRSIG for Wildcard (NSEC3)  rsasha512     775   [1, 3, 3]   \n",
       "2                          2 A RRs with RRSIG  rsasha512     383      [2, 2]   \n",
       "30  1 AAAA RR with RRSIG for Wildcard (NSEC3)      ed448     480   [1, 3, 3]   \n",
       "5                          2 A RRs with RRSIG    ed25519     187      [2, 2]   \n",
       "42                           NSEC Proof of NX  rsasha512     775   [1, 4, 4]   \n",
       "47                           NSEC Proof of NX     falcon    1570   [1, 4, 4]   \n",
       "53                          NSEC3 Proof of NX    ed25519     425   [1, 3, 3]   \n",
       "8                        1 AAAA RR with RRSIG    rsasha1     375      [2, 2]   \n",
       "0                          2 A RRs with RRSIG    rsasha1     379      [2, 2]   \n",
       "46                           NSEC Proof of NX      ed448     475   [1, 4, 4]   \n",
       "16   1 AAAA RR with RRSIG for Wildcard (NSEC)    rsasha1     727   [1, 4, 4]   \n",
       "48                          NSEC3 Proof of NX    rsasha1     809   [1, 3, 3]   \n",
       "19   1 AAAA RR with RRSIG for Wildcard (NSEC)   ecdsa256     347   [1, 4, 4]   \n",
       "\n",
       "                           qname  \n",
       "33            rsasha256.example.  \n",
       "37              ed25519.example.  \n",
       "26  wildcard.rsasha5123.example.  \n",
       "2             rsasha512.example.  \n",
       "30      wildcard.ed4483.example.  \n",
       "5               ed25519.example.  \n",
       "42         nx.rsasha512.example.  \n",
       "47            nx.falcon.example.  \n",
       "53          nx.ed255193.example.  \n",
       "8               rsasha1.example.  \n",
       "0               rsasha1.example.  \n",
       "46             nx.ed448.example.  \n",
       "16     wildcard.rsasha1.example.  \n",
       "48          nx.rsasha13.example.  \n",
       "19    wildcard.ecdsa256.example.  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.DataFrame(raw_data)\n",
    "data.sample(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.set(font_scale=2)\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ALGORITHM_ORDER = list(ALGORITHM_COLORS.keys())\n",
    "ALGORITHM_PALETTE = sns.color_palette([ALGORITHM_COLORS[a] for a in ALGORITHM_ORDER])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1490.2x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.catplot(\n",
    "    data=data,\n",
    "    y='scenario',\n",
    "    hue='algorithm', hue_order=ALGORITHM_ORDER, palette=ALGORITHM_PALETTE,\n",
    "    x='length',\n",
    "    kind='bar',\n",
    "    height=8,\n",
    "    aspect=18/8,\n",
    ")\n",
    "g.set(\n",
    "    ylabel='Response Type',\n",
    "    xlabel='Response Length',\n",
    ")\n",
    "g.legend.set_title('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}