84 lines
2.1 KiB
Plaintext
84 lines
2.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "37ac6be2-a15f-40db-ba98-7f4559cf5749",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"df = pd.read_pickle('../echo-dot-activity.pickel')\n",
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"\n",
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"print(\"ip/ip.dst\" in df.columns)\n",
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"\n",
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"df['Activity'] = pd.Series(False, index=df.index)\n",
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"\n",
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"df.loc[2330 - 12198, 'Activity'] = True # music listening\n",
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"df.loc[12744 - 13396, 'Activity'] = True # announcement\n",
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"df.loc[13548 - 20533, 'Activity'] = True # key exchange? maybe not activity...\n",
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"df.loc[20556 - 26757, 'Activity'] = True # music listening\n",
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"df.loc[26813 - 26825, 'Activity'] = True # announcement\n",
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"df.loc[26918 - 26936, 'Activity'] = True # volume adjustement \n",
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"\n",
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"df.to_pickle('../echo-dot-activity.pickel')\n"
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],
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"metadata": {
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"collapsed": false
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},
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"id": "fe1e40dd56e78b5"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"df = pd.read_pickle(\"../echo-dot-attack.pickel\")\n",
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"\n",
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"df[\"Attack\"] = pd.Series(False, index=df.index, dtype=int)\n",
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"\n",
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"print(\"ip/ip.dst\" in df.columns)\n",
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"\n",
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"df.loc[49 - 262255, \"Attack\"] = 2\n",
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"df.loc[262258 - 622810, \"Attack\"] = 2\n",
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"df.loc[624338 - 624363, \"Attack\"] = 1\n",
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"df.loc[624541 - 627011, \"Attack\"] = 3\n",
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"\n",
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"df.to_pickle(\"../echo-dot-attack.pickel\")"
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],
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"metadata": {
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"collapsed": false
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},
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"id": "d6a43f9140b4e1f9"
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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