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add CIKM2024 profiling suspect case

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Frank Xu
2024-07-25 12:24:09 -04:00
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25 changed files with 37566 additions and 1 deletions
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It will be read and overwritten.
DO NOT EDIT! -->
<META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=UTF-8">
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</DL><p>
<DT><A HREF="https://www.learn4good.com/jobs/arlington/virginia/pharmaceutical/2705917939/e/" ADD_DATE="13346872461452715" ICON_URI="https://www.learn4good.com/favicon.ico">Senior Regulatory &amp; Scientific Affairs Specialist Job Arlington Virginia USA,Pharmaceutical</A>
<DT><A HREF="https://mathjiajia.github.io/vscode-and-latex/" ADD_DATE="13348353479998748" ICON_URI="https://mathjiajia.github.io/favicon.ico">A Fast Guide on Writing LaTeX with LaTeX Workshop in VS Code - Jia Jia Math</A>
<DT><A HREF="https://nextjournal.com/gkoehler/pytorch-mnist" ADD_DATE="13350101029657411" ICON_URI="https://nextjournal.com/images/favicon/favicon-32.png">MNIST Handwritten Digit Recognition in PyTorch – Nextjournal</A>
</DL><p>
<DT><H3 ADD_DATE="0" LAST_MODIFIED="1678738548816">Other Bookmarks</H3>
<DL><p>
</DL><p>
<DT><H3 ADD_DATE="0" LAST_MODIFIED="1678738548816">Synced Bookmarks</H3>
<DL><p>
<DT><H3 ADD_DATE="1536455750810" LAST_MODIFIED="1639698829917">standard Chinese</H3>
<DL><p>
</DL><p>
<DT><A HREF="http://www.pepresource.com/down/list56d24.html" ADD_DATE="13180969824546831">Chinese reading</A>
<DT><A HREF="https://me.me/i/such-sleep-much-tired-569162" ADD_DATE="13183472598526406">Meme market </A>
<DT><A HREF="https://www.amazon.com/Redragon-S101-Keyboard-Ergonomic-Programmable/dp/B00NLZUM36/ref=sr_1_4?ie=UTF8&amp;qid=1545138281&amp;sr=8-4&amp;keywords=keyboard%2Bwith%2Bmouse&amp;th=1" ADD_DATE="13189657337405994">Amazon.com: Redragon S101 Gaming Keyboard Mouse Combo, RGB LED Backlit 104 Keys USB Wired Ergonomic Wrist Rest Keyboard, Programmable 6 Button Mouse for Windows PC Gamer - [Keyboard Mouse Set]: Computers &amp; Accessories</A>
<DT><A HREF="chrome://newtab/" ADD_DATE="13209834341853537">New Tab</A>
</DL><p>
</DL><p>

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AI4Forensics/CKIM2024/BrowserHistory/Chrome/Device Information.json Normal file
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0
AI4Forensics/CKIM2024/BrowserHistory/Chrome/Dictionary.csv Normal file
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416
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"value": "\"chicago-author-date\"",
"key": "style"
},
{
"extension_id": "annopcfmbiofommjmcmcfmhklhgbhkce",
"value": "false",
"key": "audioPermissionAllowed"
},
{
"extension_id": "ldfbhjdnnfkhjjfgpodhciohomgdpcgd",
"value": "\"2015-12-13\"",
"key": "offersLastUpdate"
},
{
"extension_id": "annopcfmbiofommjmcmcfmhklhgbhkce",
"value": "true",
"key": "whatsNew_shouldShowLink"
},
{
"extension_id": "pdnenlnelpdomajfejgapbdpmjkfpjkp",
"value": "\"2023-06-18T20:55:58.404Z\"",
"key": "openAI_expires"
},
{
"extension_id": "annopcfmbiofommjmcmcfmhklhgbhkce",
"value": "true",
"key": "askedAudioVideoPermission"
},
{
"extension_id": "annopcfmbiofommjmcmcfmhklhgbhkce",
"value": "0",
"key": "captureCountdown"
},
{
"extension_id": "annopcfmbiofommjmcmcfmhklhgbhkce",
"value": "\"0BwPQffeSCDPrMnUwcmVJRlQ4NUk\"",
"key": "driveStorageFolderId"
},
{
"extension_id": "bmnlcjabgnpnenekpadlanbbkooimhnj",
"value": "\"\\\"8933369308910994232\\\"\"",
"key": "device:primaryDeviceId"
},
{
"extension_id": "annopcfmbiofommjmcmcfmhklhgbhkce",
"value": "true",
"key": "extensionInstalled"
},
{
"extension_id": "bmnlcjabgnpnenekpadlanbbkooimhnj",
"value": "\"\\\"8252483044623406520\\\"\"",
"key": "user:userId"
},
{
"extension_id": "pdnenlnelpdomajfejgapbdpmjkfpjkp",
"value": "\"8e898737-9678-4bcc-9cb5-5e4be20593e8\"",
"key": "userIdBrowserSyncStorage"
},
{
"extension_id": "annopcfmbiofommjmcmcfmhklhgbhkce",
"value": "false",
"key": "audioVideoPermissionAllowed"
},
{
"extension_id": "annopcfmbiofommjmcmcfmhklhgbhkce",
"value": "true",
"key": "askedAudioPermission"
},
{
"extension_id": "pdnenlnelpdomajfejgapbdpmjkfpjkp",
"value": "\"eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCIsImtpZCI6Ik1UaEVOVUpHTkVNMVFURTRNMEZCTWpkQ05UZzVNRFUxUlRVd1FVSkRNRU13UmtGRVFrRXpSZyJ9.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.ChDaY_A_p5hZOuVhS8lFJz7HDsbWgT1hA97wSxZCOyfoAi3zaAozxI9NPA5_Mftx2YxHOonY0bVE_eRg6hP4m8iifo0uYY4rR5ZtxBl7fnKI6JCjx6XCJko7KGTvf-Hp5TPEvWCQXi_bXbhr0scCXTVUk-yzOGczWayvFIQgDLfwx2D6m5mztdj6RqpH2dj3ro_CuS5m2mJvJUlt52JQAyYr1h7Z-bpBa-khyhsuiqrtFc636L9vJnPCcpg7GBYX_1JGscViG27e6cH-R1dQZKaYpNJKgyZXTJC4OeiPiGuawYkpat123DMSH5-wyFZDC5ALbE9PkJoZOpdlSgHs_A\"",
"key": "openAI_accessToken"
},
{
"extension_id": "annopcfmbiofommjmcmcfmhklhgbhkce",
"value": "false",
"key": "showCaptureOnboarding"
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]
}

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{
"Arc Package": [],
"OS Preference": [],
"OS Priority Preference": [
{"preference": {
"name": "sync.os_demographics",
"value": "{\"gender\":1,\"birth_year\":1971}"
}}
],
"Printer": []
}

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<!DOCTYPE NETSCAPE-Bookmark-file-1>
<!-- This is an automatically generated file.
It will be read and overwritten.
DO NOT EDIT! -->
<META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=UTF-8">
<TITLE>Reading List</TITLE>
<H1>Reading List</H1>
<DL><p>
<DT><A HREF="https://github.com/pytorch/examples" ADD_DATE="1623504481362484">GitHub - pytorch/examples: A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.</A>
<DT><A HREF="https://www.olevod.com/index.php/vod/play/id/21159/sid/1/nid/1.html" ADD_DATE="1627404271576827">信条_高清播放</A>
</DL><p>

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "sq0Xeh7OXNFX"
},
"source": [
"## A tutorial to profile suspects based on their browser history\n",
"\n",
"### Background\n",
"Suspect profiling, also known as criminal profiling, is a technique used in criminal investigations for nearly a century to identify potential suspects based on various psychological, behavioral, and demographic characteristics. Dr. Walter C. Langer, a psychiatrist, was commissioned by the Office of Strategic Services (OSS) to profile [Adolf Hitler](https://www.cia.gov/readingroom/document/cia-rdp78-02646r000600240001-5), marking one of the earliest known attempts at profiling in the 1940s. \n",
"\n",
"### Goal\n",
"Showcasing the creation of a comprehensive suspect profile leveraging browser history, a digital footprint that offers valuable insights into an individual's thoughts, interests, and behaviors. \n",
"\n",
"- Identify the individual's age \n",
"- Determine individual's interests\n",
"- Estimate the individual's location \n",
"\n",
"\n",
"### Dataset in this study\n",
"- Browser history is donated by a volunteer \n",
" - as a demo with not necessary related to criminal behaviors \n",
" - we can evaluate the accuracy \n",
" \n",
"- source: [Google takeout](https://takeout.google.com/settings/takeout?pli=1)\n",
" - trimmed to 113 records\n",
" - sample record shown as follows. ONLY **title** is used for profiling in this demo\n",
"```\n",
" {\n",
" \"favicon_url\": \"https://leetcode.com/favicon.ico\",\n",
" \"page_transition\": \"LINK\",\n",
" \"title\": \"Valid Parentheses - LeetCode\", \n",
" \"ptoken\": {},\n",
" \"url\": \"https://leetcode.com/problems/valid-parentheses/\",\n",
" \"client_id\": \"URp+B/gdRCTBo88fQvclyQ==\",\n",
" \"time_usec\": 1719361796122188\n",
" }\n",
"```\n",
"\n",
"\n",
"### Implementation Plan\n",
"- [langchain](https://www.langchain.com/)\n",
" - a popular open-source framework \n",
" - designed to simplify the development of applications using LLMs\n",
"- Gemini - API is [free](https://aistudio.google.com/app/apikey)\n",
" - summarization\n",
" - political analysis \n",
"- Can we use DSPy?\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 0: Download and check the visited website title dataset "
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-06-27 08:46:00: Google Takeout\n",
"2024-06-27 08:16:26: Hell Hades Artifact Optimiser\n",
"2024-06-26 22:21:21: Stim Beacon | Valorant Wiki | Fandom\n",
"2024-06-26 21:52:33: ChatGPT\n",
"2024-06-26 21:52:19: Smart Homes: Remote Control\n",
"2024-06-26 21:52:07: VR Training for FB\n",
"2024-06-26 21:48:00: Wizard Beer - YouTube\n",
"2024-06-26 21:45:49: Hell Hades Artifact Optimiser\n",
"2024-06-26 21:45:18: Alternatives to Gnut? : r/RaidShadowLegends\n",
"2024-06-26 21:14:41: Sustainability | Free Full-Text | Healthcare in the Smart Home: A Study of Past, Present and Future\n",
"2024-06-26 21:06:36: ChatGPT\n",
"2024-06-26 20:56:58: VR Training for FB\n",
"2024-06-26 20:56:56: Linked List Node Removal\n",
"2024-06-26 20:56:55: Optimized Letter Combinations.\n",
"2024-06-26 20:56:54: Bus Arrival Analysis: Exponential, Probability.\n",
"2024-06-26 20:56:54: ThreeSum with Two-Pointer Algorithm\n",
"2024-06-26 20:56:53: Remove nth Node Python\n",
"2024-06-26 20:54:39: Here’s a concept for a tank I’ve quickly designed. If this post gains traction then I’ll be happy to post more information regarding exact numbers and interactions due to how interactive his ultimate is. Feedback is welcome! : r/Overwatch\n",
"2024-06-26 20:43:42: overwatch maps - Google Search\n",
"2024-06-26 18:17:42: Gemini\n",
"2024-06-26 18:02:44: ChatGPT\n",
"2024-06-26 17:59:11: VR Training for FB\n",
"2024-06-26 17:52:48: meme - Google Slides\n",
"2024-06-26 17:39:05: Hell Hades Artifact Optimiser\n",
"2024-06-26 16:57:18: Perplexity\n",
"2024-06-26 16:56:49: ChatGPT\n",
"2024-06-26 16:56:37: Search results - exu17288@terpmail.umd.edu - University of Maryland Mail\n",
"2024-06-26 16:49:25: Full article: Smart Home Activities: A Literature Review\n",
"2024-06-26 16:45:12: Google Scholar\n",
"2024-06-26 16:05:12: VR Training for FB\n",
"2024-06-26 16:05:09: Hotel Diffuser Promotion\n",
"2024-06-26 15:57:21: Online LaTeX Editor Overleaf\n",
"2024-06-26 15:54:07: ChatGPT\n",
"2024-06-26 14:34:01: Party Hut - Best Decks, Top Players, Battle Stats in Clash Royale - RoyaleAPI\n",
"2024-06-26 14:08:06: Hell Hades Artifact Optimiser\n",
"2024-06-26 12:47:03: You really dont need FF for this... : r/StarRailStation\n",
"2024-06-26 12:45:43: Reddit down? Current outages and problems | Downdetector\n",
"2024-06-26 12:33:54: Updated 5_29 REU presentation.pptx - Google Slides\n",
"2024-06-26 12:24:58: lies\n",
"2024-06-26 12:24:55: It's real : r/lies\n",
"2024-06-26 12:22:07: Team Fortress 2\n",
"2024-06-26 12:21:55: Reddit - Dive into anything\n",
"2024-06-26 12:19:03: Overwatch\n",
"2024-06-26 12:18:46: Is this a new Mauga buff? : r/Overwatch\n",
"2024-06-26 12:15:50: Silksong\n",
"2024-06-26 12:14:39: PINVERSE - Hornet Pin Pack - Fangamer Europe\n",
"2024-06-26 11:49:58: Online LaTeX Editor Overleaf\n",
"2024-06-26 10:11:12: ChatGPT\n",
"2024-06-26 09:49:17: \"The Amazing Digital Circus\" Fanbase In A Nutshell : r/coaxedintoasnafu\n",
"2024-06-26 09:31:19: RAID: Shadow Legends\n",
"2024-06-26 09:30:41: The Official Overwatch Subreddit\n",
"2024-06-26 09:30:36: Gaming Circlejerk - Don Cheadle Appreciation Society\n",
"2024-06-26 09:30:05: send u/kirbizia bubsy 1\n",
"2024-06-26 09:30:03: RAID: Shadow Legends\n",
"2024-06-26 09:29:14: pCloud :: File Manager\n",
"2024-06-26 09:18:27: Ishfaaq Ahamed Mohammed Imtiyas's Personal Meeting Room - Zoom\n",
"2024-06-26 09:18:19: Topic: Asynchronous Lecture 06/26\n",
"2024-06-26 09:18:19: Homework 7\n",
"2024-06-26 09:17:47: Dashboard\n",
"2024-06-26 09:17:38: Duo Security\n",
"2024-06-26 09:17:31: UMD CAS - Central Authentication Service\n",
"2024-06-26 09:17:25: ELMS\n",
"2024-06-26 08:32:01: book.dvi\n",
"2024-06-26 08:31:12: My most straw of men : r/coaxedintoasnafu\n",
"2024-06-26 08:29:04: Reddit - Dive into anything\n",
"2024-06-26 08:07:32: How to Use Eerie Building Blocks | Honkai: Star Rail｜Game8\n",
"2024-06-26 07:57:49: Remove nth Node Python\n",
"2024-06-26 07:57:48: TypeError Dict Conflict\n",
"2024-06-26 07:57:47: The Official Overwatch Subreddit\n",
"2024-06-26 07:57:46: Search results - Google Drive\n",
"2024-06-26 07:57:40: tmylla/Awesome-LLM4Cybersecurity: An overview of LLMs for cybersecurity.\n",
"2024-06-26 07:35:39: Hell Hades Artifact Optimiser\n",
"2024-06-26 07:12:12: book.dvi\n",
"2024-06-26 07:11:51: Asta Guide and Build | Honkai: Star Rail | Prydwen\n",
"2024-06-26 07:11:42: Inbox (56) - ericxu1728@gmail.com - Gmail\n",
"2024-06-26 07:09:08: leetcode-common-questions/python/01_two_sum.py at master · manokhina/leetcode-common-questions\n",
"2024-06-26 07:09:04: Zoom\n",
"2024-06-26 07:09:03: TypeError Dict Conflict\n",
"2024-06-26 07:08:59: make fun of memes and stuff\n",
"2024-06-26 07:08:59: Reddit - Dive into anything\n",
"2024-06-26 07:08:52: pCloud :: File Manager\n",
"2024-06-26 07:08:51: Remove nth Node Python\n",
"2024-06-26 07:08:45: (313) Discord | @Alex\n",
"2024-06-26 06:37:15: QENNY, the Spooky Lawyer 👻👻 on X: \"Imagine your kid's high school football coach posting this on Facebook. https://t.co/HRTwv3ywbG\" / X\n",
"2024-06-25 22:06:23: Official Adobe Photoshop - Leading AI photo & design software\n",
"2024-06-25 19:55:37: ChatGPT\n",
"2024-06-25 11:41:15: Hell Hades Artifact Optimiser\n",
"2024-06-25 09:59:27: Nintendo 3DS™\n",
"2024-06-25 09:59:01: Reddit - Dive into anything\n",
"2024-06-25 09:58:40: YouTube is biased : r/youtube\n",
"2024-06-25 09:26:58: Zoom\n",
"2024-06-25 09:17:51: pCloud :: File Manager\n",
"2024-06-25 09:14:21: Updated 5_29 REU presentation.pptx - Google Slides\n",
"2024-06-25 09:03:54: This isn't my opinion on femboys : r/691\n",
"2024-06-25 08:53:09: HonkaiStarRail\n",
"2024-06-25 08:46:27: Overwatch Memes\n",
"2024-06-25 08:45:52: Reddit - Dive into anything\n",
"2024-06-25 08:45:07: Petah???? : r/PeterExplainsTheJoke\n",
"2024-06-25 08:43:00: Brawl Stars\n",
"2024-06-25 08:41:45: lies\n",
"2024-06-25 08:41:42: KajMunktheFrog (u/KajMunktheFrog) - Reddit\n",
"2024-06-25 08:41:36: i can't even blame y'all : r/Brawlstars\n",
"2024-06-25 08:35:37: now double verified\n",
"2024-06-25 08:33:17: PhoenixSC\n",
"2024-06-25 08:32:21: Reddit - Dive into anything\n",
"2024-06-25 08:31:54: Ricochet on Steam\n",
"2024-06-25 08:31:38: when the game is dead from launch : r/whenthe\n",
"2024-06-25 08:26:37: whenthe\n",
"2024-06-25 08:24:15: Reddit - Dive into anything\n",
"2024-06-25 08:12:13: make fun of memes and stuff\n",
"2024-06-25 08:12:02: Skibidi toilet or whatever the fuck you kids say these days : r/coaxedintoasnafu\n",
"2024-06-25 07:53:46: ChatGPT\n",
"2024-06-25 07:52:08: Inbox (56) - ericxu1728@gmail.com - Gmail\n",
"\n"
]
}
],
"source": [
"! wget -q https://raw.githubusercontent.com/frankwxu/digital-forensics-lab/main/AI4Forensics/CKIM2024/BrowserHistory/Eric/titles_with_timestamp.txt\n",
"file_path = \"titles_with_timestamp.txt\"\n",
"\n",
"# Open the file and read its content\n",
"with open(file_path, \"r\") as file:\n",
" provided_data = file.read()\n",
"\n",
"# Display the content\n",
"print(provided_data)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "_PB-19pfD_8X"
},
"source": [
"### Step 1: Download libraries \n",
"- Make use you use `pip` to download necessary libraries \n",
"- All downloaded and saved files can be located in the `content` folder if using google Colab\n"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "w0BM6S4zBsKG",
"outputId": "397df46c-fe12-4d38-c6bf-cb8cbfb9d7bf"
},
"outputs": [],
"source": [
"# !pip -q install google-generativeai\n",
"# !pip -q install langchain-google-genai\n",
"# !pip install python-dotenv\n",
"# !pip -q install langchain_experimental langchain_core\n",
"# !pip install --upgrade langchain\n",
"\n",
"import os\n",
"import google.generativeai as genai\n",
"from IPython.display import display\n",
"from IPython.display import Markdown\n",
"from dotenv import load_dotenv\n",
"from langchain_google_genai import (\n",
" ChatGoogleGenerativeAI,\n",
" HarmBlockThreshold,\n",
" HarmCategory,\n",
")\n",
"from langchain.prompts import ChatPromptTemplate\n",
"from langchain_core.output_parsers import StrOutputParser"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "3EJXvF79EHTs"
},
"source": [
"#### Step 2: Config LangChain with gemini\n",
"- You `MUST` have a Gemini key\n",
"- You can load an an api key from `api_key.txt` file\n",
"- or, hard code your open api key"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "b0j39s4PvC8q",
"outputId": "945e2123-6bd2-4fcb-8c5d-120ee180713a"
},
"outputs": [],
"source": [
"# ================ Key configuration===========\n",
"# Load environment variables from the .env file\n",
"load_dotenv(\"my_config.env\")\n",
"\n",
"# Access the environment variables\n",
"GOOGLE_AI_STUDIO = os.getenv(\"GOOGLE_AI_STUDIO2\")\n",
"\n",
"# replace your own Gemini API key\n",
"genai.configure(api_key=\"GOOGLE_AI_STUDIO\")\n",
"\n",
"\n",
"# ======= Gerneration configuration===========\n",
"# Set up the model\n",
"# Temperature controls the randomness of the model's output.\n",
"generation_config = {\n",
" \"temperature\": 0.0, # Controls the randomness of the model's output\n",
" \"top_p\": 1, # Chooses the smallest set of tokens whose cumulative probability exceeds the threshold p. 1 means all tokens are considered\n",
" \"top_k\": 16, # Selects the k most likely next tokens.\n",
" \"max_output_tokens\": 4096,\n",
"}\n",
"\n",
"# ======= Safety configuration=================\n",
"# disable safety settings though langchain\n",
"safety_settings = {\n",
" HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_NONE,\n",
" HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_NONE,\n",
" HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_NONE,\n",
" HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,\n",
"}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 3: build a Gemini model with configurations"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"id": "OyqoVaYpvlcC"
},
"outputs": [],
"source": [
"model = ChatGoogleGenerativeAI(\n",
" model=\"gemini-pro\",\n",
" generation_config=generation_config,\n",
" safety_settings=safety_settings,\n",
" google_api_key=GOOGLE_AI_STUDIO\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 4: Create a prompt template\n",
"- This is a multi-line string containing placeholders in curly braces.\n",
"```\n",
" formatted_prompt = prompt.format(\n",
" role=\"You are a helpful assistant.\",\n",
" provided_data=\"Here's some context: ...\",\n",
" start=\"Please answer the following question:\"\n",
" )\n",
"```\n",
"- `{role}, {provided_data}, and {start}` are placeholders that will be filled in later.\n",
" - `{role}`: definition specifies the role's name, overall objective, task specific context, and any applicable constraints. \n",
" - Role Name: Criminal profiler.\n",
" - Role Task: Create a psychological profile based on browsing history.\n",
" - Role Focus: Motivations, psychological characteristics, behavioral patterns, relevant insights.\n",
" - Role Restrictions: Avoid identification or accusations, no legal advice.\n",
" - `{provided_data}`: outlines the required datasets for task completion\n",
" - list of web pages visited with titles and timestamps.\n",
" - `{start}`: the initiation instruction serves as a trigger, prompting the role to carry out the task"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"template = \"\"\"\n",
"{role}\\\n",
"{provided_data}\\\n",
"{start}\n",
"\"\"\"\n",
"prompt = ChatPromptTemplate.from_template(template)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "z4iZC7coEL1S"
},
"source": [
"### Step 5: use LangChain to create a simple processing chain\n",
"\n",
"Flow of operation `chain = prompt | model | output_parser`\n",
"- The prompt is first formatted and sent to the model.\n",
"- The model processes the prompt and generates a response.\n",
"- The output parser then processes the model's response, ensuring it's in the correct string format."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 438
},
"id": "ncJStFZtCVmn",
"outputId": "eee7b9f5-f213-4213-9cd6-2b74d99dba31"
},
"outputs": [
{
"data": {
"text/markdown": [
"**Psychological Profile:**\n",
"\n",
"The individual exhibits a wide range of interests, including technology, gaming, programming, home automation, sustainability, art, photography, music, and writing. This suggests a curious and multifaceted personality with a thirst for knowledge and creative expression.\n",
"\n",
"The browsing history indicates a focus on specific games and apps (e.g., Valorant, RAID: Shadow Legends, Overwatch) and technical topics (e.g., LaTeX, VR training, linked list algorithms). This suggests a methodical and goal-oriented approach to learning and problem-solving.\n",
"\n",
"The repeated visits to websites related to home automation, sustainability, and smart homes imply a concern for efficiency, comfort, and the environment. This could indicate a practical and environmentally conscious mindset.\n",
"\n",
"The browsing history also includes visits to social media platforms (e.g., Reddit, Twitter), online forums, and community-based websites. This suggests a need for social connection and a desire to engage with others who share similar interests.\n",
"\n",
"**Age Range:** 20-29\n",
"\n",
"**Interests:** Technology and Gadgets, Entertainment, Hobbies and Crafts, Education and Learning, Socializing and Community\n",
"\n",
"**Location:** California"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# a LangChain utility that parses the output of a language model into a simple string.\n",
"output_parser = StrOutputParser()\n",
"\n",
"# This line creates a processing chain using the pipe (|) operator.\n",
"\n",
"chain = prompt | model | output_parser\n",
"\n",
"role = \"I want you to act as a criminal profiler. I will provide a list of web pages and the times they were visited by a suspect, and your task is to create a psychological profile of the suspect based on the browsing history. Remember, your responses should focus on the psychological analysis and profiling aspect, avoiding any direct identification or accusations against real individuals. Do not provide legal advice or procedural law enforcement steps.\"\n",
"\n",
"start = \"I want you to also try to guess their age range, interests, and their location. Age ranges are 10-19, 20-29, 30-39, 40-49, 50-59, and 60+. The interest categories are Technology and Gadgets, Entertainment, Sports and Fitness, Travel and Adventure, Food and Cooking, Hobbies and Crafts, Health and Wellness, Education and Learning, Socializing and Community, Nature and Environment, Fashion and Style, and Pets and Animals. The location is assumed to be in the United states. Guess which state they are in.\"\n",
"\n",
"result = chain.invoke(\n",
" {\n",
" \"role\": role,\n",
" \"provided_data\": provided_data,\n",
" \"start\": start,\n",
" }\n",
")\n",
"\n",
"Markdown(result)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "yvAJ5WKXzpKc"
},
"source": [
"### Part 6: Evaluation\n",
"- Evaluating based on the age, range, and interets\n",
"- Age: We will give 1 score if the ranges are the same. If the range is off by one (i,e if the age is 30-49 and the prediction is 50-59 or 20-29), we will give 0.5 score\n",
"- Interests: Score is the number of correct interests over the largest number of interests guessed. If 4 interests are predicted and 3 are correct, it will be given a score of 3/4 or 0.75\n",
"- Location: Score of 1 if prediction is correct. Score of 0.6 if the state borders the state. 0.3 if they are the same section of the United states. Sections are divided into Northeast, Southeast, Midwest, Southwest, and West\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "GmQZIjoqgPjB"
},
"source": [
"| | Truth | Prediction | Score |\n",
"|--------------|------------------------|-----------------------|-------|\n",
"| Age | 10-19 | 20-29 | 0.5 |\n",
"| Interests | Technology and Gadgets, Entertainment, Education and Learning | Technology and Gadgets, Entertainment, Education and Learning, Hobbies and Crafts | 0.75 |\n",
"| Location | Maryland | California | 0 |\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"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": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "z4iZC7coEL1S"
},
"source": [
"## Data processing\n",
"- Goal to reduce prompt size\n",
"- Removing repeated websites that are in quick succession\n",
"- Remove websites with common keywords\n",
"- Extracts titles and timestamp"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"id": "rV0G6UrKBHTH"
},
"outputs": [],
"source": [
"! wget -q -O History.json https://raw.githubusercontent.com/EricXu1728/Browser-History-Sample/main/browser_history_limited.json"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "lwhQTTP041tb",
"outputId": "4904a3f7-2fa7-4aac-f02e-0573b390c94d"
},
"outputs": [],
"source": [
"import json\n",
"from datetime import datetime\n",
"\n",
"# Define the input and output file names\n",
"input_file = './History.json'\n",
"x = 3 # Number of previous unique titles to check against\n",
"\n",
"# Read the JSON data from the input file\n",
"with open(input_file, 'r') as file:\n",
" data = json.load(file)\n",
"\n",
"def share_word(title1, title2):\n",
" words1 = set(title1.lower().split())\n",
" words2 = set(title2.lower().split())\n",
" return not words1.isdisjoint(words2)\n",
"\n",
"def share_word_with_previous(title, previous_titles):\n",
" for prev_title in previous_titles:\n",
" if share_word(title, prev_title):\n",
" return True\n",
" return False\n",
"\n",
"\n",
"def convert_time_usec_to_readable(time_usec):\n",
" # Convert microseconds to seconds\n",
" time_seconds = time_usec / 1000000\n",
"\n",
" # Convert Unix timestamp to a datetime object\n",
" dt_object = datetime.fromtimestamp(time_seconds)\n",
"\n",
" # Format the datetime object to a readable string\n",
" readable_time = dt_object.strftime(\"%Y-%m-%d %H:%M:%S\")\n",
"\n",
" return readable_time\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "AnOvErzSCUWV",
"outputId": "0d5427b9-451c-4b91-a8f1-b129277b2f3e"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Extracted 113 titles and stored them along with timestamp in titles_with_timestamp.txt\n"
]
}
],
"source": [
"# Define the input and output file names\n",
"input_file = \"./History.json\"\n",
"output_file = \"titles_with_timestamp.txt\"\n",
"\n",
"# Read the JSON data from the input file\n",
"with open(input_file, \"r\") as file:\n",
" data = json.load(file)\n",
"\n",
"# Extract titles and timestamps from the JSON data, removing consecutive duplicates, entries sharing words, and instances of \"new tab\"\n",
"entries = []\n",
"previous_titles = []\n",
"\n",
"for entry in data.get(\"Browser History\", []):\n",
" title = entry.get(\"title\", \"\").strip()\n",
" time_usec = entry.get(\"time_usec\", 0)\n",
" if title.lower() != \"new tab\" and title and (not previous_titles or title != previous_titles[-1]):\n",
" if not share_word_with_previous(title, previous_titles):\n",
" entries.append((title, time_usec))\n",
" previous_titles.append(title)\n",
" if len(previous_titles) > x:\n",
" previous_titles.pop(0)\n",
"\n",
"# Write the extracted titles with timestamp to the output file\n",
"with open(output_file, \"w\") as file:\n",
" for title, time_usec in entries:\n",
" readable_timestamp = convert_time_usec_to_readable(time_usec)\n",
" file.write(f\"{readable_timestamp}: {title}\\n\")\n",
"\n",
"print(f\"Extracted {len(entries)} titles and stored them along with timestamp in {output_file}\")"
]
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"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": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

1
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I want you to act as a criminal profiler. I will provide a list of web pages and the times they were visited by a suspect, and your task is to create a psychological profile of the suspect based on the browsing history. Remember, your responses should focus on the psychological analysis and profiling aspect, avoiding any direct identification or accusations against real individuals. Do not provide legal advice or procedural law enforcement steps.

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I want you to also try to guess their age range, interests, and their location. Age ranges are 10-19, 20-29, 30-39, 40-49, 50-59, and 60+. The interest categories are Technology and Gadgets, Entertainment, Sports and Fitness, Travel and Adventure, Food and Cooking, Hobbies and Crafts, Health and Wellness, Education and Learning, Socializing and Community, Nature and Environment, Fashion and Style, and Pets and Animals. The location is assumed to be in the United states. Guess which state they are in.

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2024-06-27 08:46:00: Google Takeout
2024-06-27 08:16:26: Hell Hades Artifact Optimiser
2024-06-26 22:21:21: Stim Beacon | Valorant Wiki | Fandom
2024-06-26 21:52:33: ChatGPT
2024-06-26 21:52:19: Smart Homes: Remote Control
2024-06-26 21:52:07: VR Training for FB
2024-06-26 21:48:00: Wizard Beer - YouTube
2024-06-26 21:45:49: Hell Hades Artifact Optimiser
2024-06-26 21:45:18: Alternatives to Gnut? : r/RaidShadowLegends
2024-06-26 21:14:41: Sustainability | Free Full-Text | Healthcare in the Smart Home: A Study of Past, Present and Future
2024-06-26 21:06:36: ChatGPT
2024-06-26 20:56:58: VR Training for FB
2024-06-26 20:56:56: Linked List Node Removal
2024-06-26 20:56:55: Optimized Letter Combinations.
2024-06-26 20:56:54: Bus Arrival Analysis: Exponential, Probability.
2024-06-26 20:56:54: ThreeSum with Two-Pointer Algorithm
2024-06-26 20:56:53: Remove nth Node Python
2024-06-26 20:54:39: Here’s a concept for a tank I’ve quickly designed. If this post gains traction then I’ll be happy to post more information regarding exact numbers and interactions due to how interactive his ultimate is. Feedback is welcome! : r/Overwatch
2024-06-26 20:43:42: overwatch maps - Google Search
2024-06-26 18:17:42: Gemini
2024-06-26 18:02:44: ChatGPT
2024-06-26 17:59:11: VR Training for FB
2024-06-26 17:52:48: meme - Google Slides
2024-06-26 17:39:05: Hell Hades Artifact Optimiser
2024-06-26 16:57:18: Perplexity
2024-06-26 16:56:49: ChatGPT
2024-06-26 16:56:37: Search results - exu17288@terpmail.umd.edu - University of Maryland Mail
2024-06-26 16:49:25: Full article: Smart Home Activities: A Literature Review
2024-06-26 16:45:12: Google Scholar
2024-06-26 16:05:12: VR Training for FB
2024-06-26 16:05:09: Hotel Diffuser Promotion
2024-06-26 15:57:21: Online LaTeX Editor Overleaf
2024-06-26 15:54:07: ChatGPT
2024-06-26 14:34:01: Party Hut - Best Decks, Top Players, Battle Stats in Clash Royale - RoyaleAPI
2024-06-26 14:08:06: Hell Hades Artifact Optimiser
2024-06-26 12:47:03: You really dont need FF for this... : r/StarRailStation
2024-06-26 12:45:43: Reddit down? Current outages and problems | Downdetector
2024-06-26 12:33:54: Updated 5_29 REU presentation.pptx - Google Slides
2024-06-26 12:24:58: lies
2024-06-26 12:24:55: It's real : r/lies
2024-06-26 12:22:07: Team Fortress 2
2024-06-26 12:21:55: Reddit - Dive into anything
2024-06-26 12:19:03: Overwatch
2024-06-26 12:18:46: Is this a new Mauga buff? : r/Overwatch
2024-06-26 12:15:50: Silksong
2024-06-26 12:14:39: PINVERSE - Hornet Pin Pack - Fangamer Europe
2024-06-26 11:49:58: Online LaTeX Editor Overleaf
2024-06-26 10:11:12: ChatGPT
2024-06-26 09:49:17: "The Amazing Digital Circus" Fanbase In A Nutshell : r/coaxedintoasnafu
2024-06-26 09:31:19: RAID: Shadow Legends
2024-06-26 09:30:41: The Official Overwatch Subreddit
2024-06-26 09:30:36: Gaming Circlejerk - Don Cheadle Appreciation Society
2024-06-26 09:30:05: send u/kirbizia bubsy 1
2024-06-26 09:30:03: RAID: Shadow Legends
2024-06-26 09:29:14: pCloud :: File Manager
2024-06-26 09:18:27: Ishfaaq Ahamed Mohammed Imtiyas's Personal Meeting Room - Zoom
2024-06-26 09:18:19: Topic: Asynchronous Lecture 06/26
2024-06-26 09:18:19: Homework 7
2024-06-26 09:17:47: Dashboard
2024-06-26 09:17:38: Duo Security
2024-06-26 09:17:31: UMD CAS - Central Authentication Service
2024-06-26 09:17:25: ELMS
2024-06-26 08:32:01: book.dvi
2024-06-26 08:31:12: My most straw of men : r/coaxedintoasnafu
2024-06-26 08:29:04: Reddit - Dive into anything
2024-06-26 08:07:32: How to Use Eerie Building Blocks | Honkai: Star Rail｜Game8
2024-06-26 07:57:49: Remove nth Node Python
2024-06-26 07:57:48: TypeError Dict Conflict
2024-06-26 07:57:47: The Official Overwatch Subreddit
2024-06-26 07:57:46: Search results - Google Drive
2024-06-26 07:57:40: tmylla/Awesome-LLM4Cybersecurity: An overview of LLMs for cybersecurity.
2024-06-26 07:35:39: Hell Hades Artifact Optimiser
2024-06-26 07:12:12: book.dvi
2024-06-26 07:11:51: Asta Guide and Build | Honkai: Star Rail | Prydwen
2024-06-26 07:11:42: Inbox (56) - ericxu1728@gmail.com - Gmail
2024-06-26 07:09:08: leetcode-common-questions/python/01_two_sum.py at master · manokhina/leetcode-common-questions
2024-06-26 07:09:04: Zoom
2024-06-26 07:09:03: TypeError Dict Conflict
2024-06-26 07:08:59: make fun of memes and stuff
2024-06-26 07:08:59: Reddit - Dive into anything
2024-06-26 07:08:52: pCloud :: File Manager
2024-06-26 07:08:51: Remove nth Node Python
2024-06-26 07:08:45: (313) Discord | @Alex
2024-06-26 06:37:15: QENNY, the Spooky Lawyer 👻👻 on X: "Imagine your kid's high school football coach posting this on Facebook. https://t.co/HRTwv3ywbG" / X
2024-06-25 22:06:23: Official Adobe Photoshop - Leading AI photo & design software
2024-06-25 19:55:37: ChatGPT
2024-06-25 11:41:15: Hell Hades Artifact Optimiser
2024-06-25 09:59:27: Nintendo 3DS™
2024-06-25 09:59:01: Reddit - Dive into anything
2024-06-25 09:58:40: YouTube is biased : r/youtube
2024-06-25 09:26:58: Zoom
2024-06-25 09:17:51: pCloud :: File Manager
2024-06-25 09:14:21: Updated 5_29 REU presentation.pptx - Google Slides
2024-06-25 09:03:54: This isn't my opinion on femboys : r/691
2024-06-25 08:53:09: HonkaiStarRail
2024-06-25 08:46:27: Overwatch Memes
2024-06-25 08:45:52: Reddit - Dive into anything
2024-06-25 08:45:07: Petah???? : r/PeterExplainsTheJoke
2024-06-25 08:43:00: Brawl Stars
2024-06-25 08:41:45: lies
2024-06-25 08:41:42: KajMunktheFrog (u/KajMunktheFrog) - Reddit
2024-06-25 08:41:36: i can't even blame y'all : r/Brawlstars
2024-06-25 08:35:37: now double verified
2024-06-25 08:33:17: PhoenixSC
2024-06-25 08:32:21: Reddit - Dive into anything
2024-06-25 08:31:54: Ricochet on Steam
2024-06-25 08:31:38: when the game is dead from launch : r/whenthe
2024-06-25 08:26:37: whenthe
2024-06-25 08:24:15: Reddit - Dive into anything
2024-06-25 08:12:13: make fun of memes and stuff
2024-06-25 08:12:02: Skibidi toilet or whatever the fuck you kids say these days : r/coaxedintoasnafu
2024-06-25 07:53:46: ChatGPT
2024-06-25 07:52:08: Inbox (56) - ericxu1728@gmail.com - Gmail

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{
"cells": [
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"# !pip -q install google-generativeai\n",
"# !pip -q install google-ai-generativelanguage\n",
"# !pip install python-dotenv\n",
"# !pip install --upgrade langchain\n",
"# !pip -q install langchain_experimental langchain_core\n",
"# !pip -q install langchain-google-genai\n",
"# !pip show langchain langchain-core\n",
"# !pip install python-pptx\n",
"# !pip install numpy\n",
"# !pip install tenacity\n",
"# !pip install configparser\n",
"# !pip install tiktoken\n",
"# !pip install jieba\n",
"\n",
"\n",
"import numpy as np\n",
"import os\n",
"import re\n",
"import datetime\n",
"import time\n",
"import tenacity\n",
"import argparse\n",
"import configparser\n",
"import json\n",
"import tiktoken\n",
"import jieba\n",
"from collections import namedtuple\n",
"\n",
"# setup\n",
"import google.generativeai as genai\n",
"\n",
"from IPython.display import display\n",
"from IPython.display import Markdown\n",
"\n",
"import os\n",
"from dotenv import load_dotenv\n",
"\n",
"# Load environment variables from the .env file\n",
"load_dotenv(\"my_config.env\")\n",
"\n",
"# Access the environment variables\n",
"GOOGLE_AI_STUDIO = os.getenv(\"GOOGLE_AI_STUDIO2\")\n",
"genai.configure(api_key=GOOGLE_AI_STUDIO )"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# Set up the model\n",
"generation_config = {\n",
" \"temperature\": 0.0,\n",
" \"top_p\": 1,\n",
" \"top_k\": 32,\n",
" \"max_output_tokens\": 4096,\n",
"}\n",
"\n",
"safety_settings = [\n",
" {\"category\": \"HARM_CATEGORY_HARASSMENT\", \"threshold\": \"BLOCK_NONE\"},\n",
" {\"category\": \"HARM_CATEGORY_HATE_SPEECH\", \"threshold\": \"BLOCK_NONE\"},\n",
" {\"category\": \"HARM_CATEGORY_SEXUALLY_EXPLICIT\", \"threshold\": \"BLOCK_NONE\"},\n",
" {\"category\": \"HARM_CATEGORY_DANGEROUS_CONTENT\", \"threshold\": \"BLOCK_NONE\"},\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# read a paper\n",
"from langchain_google_genai import ChatGoogleGenerativeAI\n",
"from langchain.prompts import ChatPromptTemplate\n",
"from langchain_core.output_parsers import StrOutputParser\n",
"\n",
"model = ChatGoogleGenerativeAI(\n",
" model=\"gemini-pro\",\n",
" generation_config=generation_config,\n",
" safety_settings=safety_settings,\n",
" google_api_key=GOOGLE_AI_STUDIO,\n",
")\n",
"\n",
"# Role Name: Criminal profiler.\n",
"# Role Task: Create a psychological profile based on browsing history.\n",
"# Role Focus: Motivations, psychological characteristics, behavioral patterns, relevant insights.\n",
"# Role Restrictions: Avoid identification or accusations, no legal advice.\n",
"# Provided Data: List of web pages visited with titles and timestamps.\n",
"# Starting Work: Asking the role to perform the task with the provided data.\n",
"\n",
"template = \"\"\" \n",
"{role}\\\n",
"{provided_data}\\\n",
"{start} \n",
"\"\"\"\n",
"prompt = ChatPromptTemplate.from_template(template)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"**Psychological Profile of the Suspect**\n",
"\n",
"**Possible Motivations:**\n",
"\n",
"* **Academic curiosity or research:** Browsing websites and papers related to technology, career development, and academic topics suggests a keen interest in knowledge acquisition and professional advancement. \n",
"* **Interest in human behavior:** The visits to YouTube videos on the topics of digital evidence investigation and psychological warfare could indicate an intrigue in understanding human behavior and possible vulnerabilities.\n",
"* **Exploration of personal interests:** The suspect may be exploring topics of personal interest, such as history (e.g.,南海仲裁案) and entertainment (e.g., YouTube videos).\n",
"\n",
"**Psychological Characteristics:**\n",
"\n",
"* **Inquisitive and learning-oriented:** The suspect's browsing history shows a desire for knowledge and a willingness to engage with a variety of subjects.\n",
"* **Skeptical and critical:** The suspect seems to be discerning in their information consumption, as evidenced by the visit to a website on how to analyze browser history critically.\n",
"* **Attention to detail:** The suspect exhibits a methodical approach in their research, as seen in the numerous visits to websites on the same topic (e.g., browser history analysis).\n",
"* **Cautious:** The suspect's searches for information on ethics and human subject research indicate a concern for privacy and the consequences of their actions.\n",
"\n",
"**Behavioral Patterns:**\n",
"\n",
"* **Secretive or private:** The majority of the browsing history revolves around topics not typically shared publicly, suggesting the suspect may have a secretive or private nature.\n",
"* **Solitary:** The absence of social media visits and lack of interaction with others online suggest a solitary lifestyle or a preference for solitary activities.\n",
"* **Organized:** The suspect's browsing history shows a systematic pattern, with repeated visits to specific websites and a focus on particular topics.\n",
"\n",
"**Other Relevant Insights:**\n",
"\n",
"* **Technical proficiency:** The suspect demonstrates a level of technical proficiency in their ability to navigate various websites and research tools.\n",
"* **Possible academic affiliation:** The visits to the University of Baltimore's website and the use of academic resources suggest the suspect may be affiliated with an educational institution.\n",
"* **Potential employment in the technology field:** The browsing history related to building a successful career in tech and Kaggle (a platform for data science) hints at a possible career in the technology industry.\n",
"\n",
"**Disclaimer:** This analysis is based solely on the provided web browsing history and should not be taken as a definitive or exhaustive assessment of the suspect's psychological profile or motivations. Further investigation and context would be necessary for a more comprehensive understanding of the individual's behavior and mindset."
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"output_parser = StrOutputParser()\n",
"chain = prompt | model | output_parser\n",
"\n",
"with open(r\".\\role.txt\", \"r\") as file:\n",
" role = file.read()\n",
"\n",
"with open(r\".\\titles_with_timestamp.txt\", \"r\") as file:\n",
" provided_data = file.read()\n",
"\n",
"with open(r\".\\start.txt\", \"r\") as file:\n",
" start = file.read()\n",
"\n",
"\n",
"result = chain.invoke(\n",
" {\n",
" \"role\": role,\n",
" \"provided_data\": provided_data,\n",
" \"start\": start,\n",
" }\n",
")\n",
"Markdown(result)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"File saved successfully.\n"
]
}
],
"source": [
"# Open a file for writing ('w' mode) and create it if it doesn't exist\n",
"with open(r\".\\result.txt\", \"w\") as file:\n",
" # Write content to the file\n",
" file.write(result)\n",
"\n",
"print(\"File saved successfully.\")"
]
},
{
"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": "3.9.18"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

146
AI4Forensics/CKIM2024/BrowserHistory/browser_proprocess.ipynb Normal file
View File

@@ -0,0 +1,146 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Extracted 241 titles and stored them in titles.txt\n"
]
}
],
"source": [
"import json\n",
"\n",
"# Define the input and output file names\n",
"input_file = 'Chrome\\History.json'\n",
"output_file = 'titles.txt'\n",
"\n",
"# Read the JSON data from the input file\n",
"with open(input_file, 'r') as file:\n",
" data = json.load(file)\n",
"\n",
"# Extract titles from the JSON data\n",
"titles = [entry['title'] for entry in data.get('Browser History', [])]\n",
"\n",
"# Write the extracted titles to the output file\n",
"with open(output_file, 'w') as file:\n",
" for title in titles:\n",
" if len(title.strip()) != 0:\n",
" file.write(f\"{title}\\n\")\n",
"\n",
"print(f\"Extracted {len(titles)} titles and stored them in {output_file}\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-03-13 11:57:15\n"
]
}
],
"source": [
"from datetime import datetime\n",
"\n",
"\n",
"def convert_time_usec_to_readable(time_usec):\n",
" # Convert microseconds to seconds\n",
" time_seconds = time_usec / 1000000\n",
"\n",
" # Convert Unix timestamp to a datetime object\n",
" dt_object = datetime.fromtimestamp(time_seconds)\n",
"\n",
" # Format the datetime object to a readable string\n",
" readable_time = dt_object.strftime(\"%Y-%m-%d %H:%M:%S\")\n",
"\n",
" return readable_time\n",
"\n",
"\n",
"# Example time_usec value\n",
"time_usec = 1710345435804090\n",
"print(convert_time_usec_to_readable(time_usec)) # Output: '2024-05-22 14:37:15'"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Extracted 241 titles and stored them along with timestamp in titles_with_timestamp.txt\n"
]
}
],
"source": [
"import json\n",
"from datetime import datetime\n",
"\n",
"# Define the input and output file names\n",
"input_file = \"Chrome\\History.json\"\n",
"output_file = \"titles_with_timestamp.txt\"\n",
"\n",
"# Read the JSON data from the input file\n",
"with open(input_file, \"r\") as file:\n",
" data = json.load(file)\n",
"\n",
"# Extract titles from the JSON data\n",
"entries = [\n",
" (entry[\"title\"], entry[\"time_usec\"]) for entry in data.get(\"Browser History\", [])\n",
"]\n",
"\n",
"\n",
"# Write the extracted titles with timestamp to the output file\n",
"with open(output_file, \"w\") as file:\n",
" for title, time_usec in entries:\n",
" if len(title.strip()) != 0:\n",
" readable_timestamp = convert_time_usec_to_readable(time_usec)\n",
" file.write(f\"{readable_timestamp}: {title}\\n\")\n",
"\n",
"print(\n",
" f\"Extracted {len(titles)} titles and stored them along with timestamp in {output_file}\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "torch2",
"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": "3.9.18"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

28
AI4Forensics/CKIM2024/BrowserHistory/result.txt Normal file
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@@ -0,0 +1,28 @@
**Psychological Profile of the Suspect**
**Possible Motivations:**
* **Academic curiosity or research:** Browsing websites and papers related to technology, career development, and academic topics suggests a keen interest in knowledge acquisition and professional advancement.
* **Interest in human behavior:** The visits to YouTube videos on the topics of digital evidence investigation and psychological warfare could indicate an intrigue in understanding human behavior and possible vulnerabilities.
* **Exploration of personal interests:** The suspect may be exploring topics of personal interest, such as history (e.g.,南海仲裁案) and entertainment (e.g., YouTube videos).
**Psychological Characteristics:**
* **Inquisitive and learning-oriented:** The suspect's browsing history shows a desire for knowledge and a willingness to engage with a variety of subjects.
* **Skeptical and critical:** The suspect seems to be discerning in their information consumption, as evidenced by the visit to a website on how to analyze browser history critically.
* **Attention to detail:** The suspect exhibits a methodical approach in their research, as seen in the numerous visits to websites on the same topic (e.g., browser history analysis).
* **Cautious:** The suspect's searches for information on ethics and human subject research indicate a concern for privacy and the consequences of their actions.
**Behavioral Patterns:**
* **Secretive or private:** The majority of the browsing history revolves around topics not typically shared publicly, suggesting the suspect may have a secretive or private nature.
* **Solitary:** The absence of social media visits and lack of interaction with others online suggest a solitary lifestyle or a preference for solitary activities.
* **Organized:** The suspect's browsing history shows a systematic pattern, with repeated visits to specific websites and a focus on particular topics.
**Other Relevant Insights:**
* **Technical proficiency:** The suspect demonstrates a level of technical proficiency in their ability to navigate various websites and research tools.
* **Possible academic affiliation:** The visits to the University of Baltimore's website and the use of academic resources suggest the suspect may be affiliated with an educational institution.
* **Potential employment in the technology field:** The browsing history related to building a successful career in tech and Kaggle (a platform for data science) hints at a possible career in the technology industry.
**Disclaimer:** This analysis is based solely on the provided web browsing history and should not be taken as a definitive or exhaustive assessment of the suspect's psychological profile or motivations. Further investigation and context would be necessary for a more comprehensive understanding of the individual's behavior and mindset.

33
AI4Forensics/CKIM2024/BrowserHistory/result_profilinng.txt Normal file
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@@ -0,0 +1,33 @@
**Psychological Profile of the Suspect**
**Behavioral Patterns:**
* Extensive research and collection of data on browsers history dataset, human subjects, internet browsers history, human subject forms, and form human subject forms.
**Possible Motivations:**
* **Academic Curiosity:** The suspect may be a researcher or student gathering information for academic purposes, such as understanding human behavior or the ethical implications of data collection.
* **Data Gathering:** The suspect could be an individual or organization seeking to accumulate data for various purposes, including market research, fraud, or identity theft.
* **Malicious Intent:** The suspect may have malicious intentions, intending to exploit vulnerabilities in browsing history or personal data for financial gain or harm.
* **Voyeurism or Stalking:** The suspect's interest in browsing history could stem from a desire to intrude on others' privacy, monitor their online activities, or engage in stalking behaviors.
**Psychological Characteristics:**
* **High Intelligence:** The suspect exhibits a high level of intelligence and analytical skills, as evidenced by their extensive research and data collection efforts.
* **Curiosity or Obsession:** Their focus on browsing history suggests a degree of curiosity or even obsession with understanding people's online behavior.
* **Secretive Nature:** The suspect's actions indicate a tendency to operate covertly, possibly due to awareness of the sensitive nature of the data they are handling.
* **Aptitude for Technology:** The suspect demonstrates a proficiency in technology and data management, including the use of specialized tools and resources.
**Additional Insights:**
* The suspect's use of Google Takeout suggests they may possess significant knowledge of Google services and data privacy practices.
* The presence of job postings for technical roles in their browsing history indicates a potential interest in the technology industry.
* The suspect's research on human subject forms and ethical considerations highlights an awareness of the potential legal and ethical implications of data collection.
**Recommendations for Further Investigation:**
* Determine the suspect's identity and affiliation.
* Explore the purpose and intended use of the collected data.
* Identify any potential victims or targets of the suspect's activities.
* Evaluate the suspect's digital footprint for additional clues or evidence of malicious intent.
* Consult with legal authorities to determine whether any criminal offenses have been committed.

1
AI4Forensics/CKIM2024/BrowserHistory/role.txt Normal file
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@@ -0,0 +1 @@
I want you to act as a criminal profiler. I will provide a list of web pages and the times they were visited by a suspect, and your task is to create a psychological profile of the suspect based on the browsing history. Your analysis should include possible motivations, psychological characteristics, behavioral patterns, and any other relevant insights that could help understand the mindset and profile of the suspect. Remember, your responses should focus on the psychological analysis and profiling aspect, avoiding any direct identification or accusations against real individuals. Do not provide legal advice or procedural law enforcement steps.

1
AI4Forensics/CKIM2024/BrowserHistory/start.txt Normal file
View File

@@ -0,0 +1 @@
How would you profile the suspect based on web history information?

231
AI4Forensics/CKIM2024/BrowserHistory/titles.txt Normal file
View File

@@ -0,0 +1,231 @@
Google Takeout
Google Takeout
Build a Successful Career in Tech | Jovian
Browser History Analysis - Notebook by Srijan (srijansrj5901) | Jovian
Browser History Analysis - Notebook by Srijan (srijansrj5901) | Jovian
browsers history dataset - Google Search
browsers history dataset - Google Search
internet browsers history dataset - Google Search
Login or Register | Kaggle
Kaggle: Your Home for Data Science
Kaggle: Your Home for Data Science
Kaggle: Your Home for Data Science
Browser History
Browser History | Kaggle
Browser History | Kaggle
Browser History | Kaggle
internet browsers history dataset - Google Search
internet browsers history dataset - Google Search
how to get internet browsers history - Google Search
pull user browser history : r/sysadmin
do i need for human subject form human subject if someone donate data - Google Search
Human Participants - Society for Science
do i need for human subject form human subject if someone donate data - Google Search
do i need for human subject form human subject if someone donate data - Google Search
do i need form human subject form human subject if someone donate data - Google Search
do i need form human subject form human subject if someone donate data - Google Search
do i need form human subject form human subject - Google Search
do i need form human subject form human subject - Google Search
form human subject - Google Search
Human Subjects and Clinical Trials Information Form | grants.nih.gov
form human subject - Google Search
form human subject - Google Search
(2) pull user browser history : sysadmin
(2) pull user browser history : sysadmin
Reddit - Dive into anything
pull user browser history : r/sysadmin
how to get internet browsers history - Google Search
how to get internet browsers history - Google Search
donate internet browsers history - Google Search
donate internet browsers history - Google Search
Browser History Capturer - Free tool to capture web browser history
Browser History Capturer - Free tool to capture web browser history
donate internet browsers history - Google Search
donate internet browsers history - Google Search
internet browsers history - Google Search
internet browsers history - Google Search
Notifications / X
(1) Home / X
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Log in to X / X
X
x - Google Search
x - Google Search
Claude
accounts.google.com/signin/oauth/consent?as=S788831419:1710344511541446&authuser=0&client_id=1062961139910-l2m55cb9h51u5cuc9c56eb3fevouidh9.apps.googleusercontent.com&flowName=GeneralOAuthFlow&part=AJi8hAODwliWu_VDeCVitGw-3-_-RmZAb3LwKbt7OH133iGY-psy3puerz4YQQ1DUf-HqbOEvyYpdqs-_-kAOwL-uX-ScSN5FnWy2-nLOBN3z2NLvTSWHz8m3M6963CyM1h2I8vk1qOtFrAHBu61z-O0SqYfkrBYMYk11hXcSjEtiPa2LQGsglpIn5Iaz_3a2c6n-A3Gt-o9F7-0Hv48eHzYjzlmNLNqgW7TIHnHuah1tLPzmjyiRZOOj54o3_UyQgeQopocmONZaw8Uk2S2a7vuS2V8m4jM1S6vY4WRZ95DFAcTAxinCQTwBei7ckiZ_cXrtGAAxOmFixewagLafrXLw1JsiON_K3khiSfDtv2m_x-dwhMCpNA2yqv3ROe-u-NSjtnfOoP8vhKf99GjzdxEg1kY90O3xwTGnFCfnvNrj_ZQw4Sa5pX1tAxuGAMaQJVsh3axxDHpF8LLVIneC7gTmzDgzTxLtlako99HO6xeTBB7yCBf2LDnIIWxKojBLHyj1yhIb_LIeSFm5GOzJMaQi3Slmf4F9Xf7_nHyFt757qiERtHPcFuXVRqetRHENIoPtNLGPMPcaF9b_06hG_2dQzTQ9UEUyxNU9uODvO-rXXXugNSQpuCP3S6ecxDGZO5GHi2N2V_ixHCj7rz7hW94kuvTbhgUNJuMLQk5CZmVI_N5CqEjHdMcpg1OZ5JLEwRCeNC8u4mlOAiBm8USOSbMwvLG0HMlqciDst5xqCsYtssKLL0SWxjQrJy4cl_efEU2pKS0um0npKCXsGTkE_DgJgghlq2diV03UkcNzUqhqgUHtoVXRcvl1fikA5dHuH6bS3sHdzqCBiEMEPjU9xZC8dCy6Wcbibgk7LpBAWsCWXUkcjX2f_sECJ0vaZNPtm-YxGhSDcPVyAZ_BGz6Gmu05XGlH6O09BucpzUs6FWI2lCGYZXIwF6DR_-Xa9qTxkWTA2hHL1pPZCq3ZvnxSeJvEBHmuzt2vDrL_reftgxWmM3_1mE8Jag7Yjf3t1qWUu8jjWaEjvKb_CyYmduGSGL8uKCowpwAy6guJBnMOpzszK_yta9W8qceca3gX6PPCNbhKsF4FfA5EUnDi_ea0eHLm8iP6wkyYsXvV3edcnUWz-l-cS0uIyw&rapt=AEjHL4NUOudBW5mQQOSKC-z4QLTmdoKfb5kwYAE45IFr6u-9LgCjI8UZLqMPzrLw8zG23VPsibvkSeT2_mPKoERW_nqeWzMRkQ&theme=mn
Sign in - Google Accounts
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Unifying Large Language Models and Knowledge Graphs: A Roadmap | IEEE Journals & Magazine | IEEE Xplore
Unifying Large Language Models and Knowledge Graphs: A Roadmap | IEEE Journals & Magazine | IEEE Xplore
[2306.11489] Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
2306.11489.pdf
[2306.11489] Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
ChatGPT as a Copilot for Investigating Digital Evidence
(39) 南海仲裁案，对南海主权争议影响有多大？｜九段线｜南海仲裁｜仁爱礁｜菲律宾｜黄岩岛｜马英九｜王局拍案20240313 - YouTube
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About the MyUB Portal - University of Baltimore
University of Baltimore - Undergraduate & Graduate Degrees in Maryland
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canvas university of baltimore - Google Search
canvas university of baltimore - Google Search
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gm - Google Search
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kohl's credit card payment - Google Search
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Credit Card, Mortgage, Banking, Auto | Chase Online | Chase.com
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Amazon.com. Spend less. Smile more.
amazon - Google Search
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chase credit card login - Google Search
chase credit card login - Google Search
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horizon.ubalt.edu
horizon.ubalt.edu
(18) YouTube

231
AI4Forensics/CKIM2024/BrowserHistory/titles_with_timestamp.txt Normal file
View File

@@ -0,0 +1,231 @@
2024-03-13 11:57:15: Google Takeout
2024-03-13 11:57:15: Google Takeout
2024-03-13 11:57:15: Build a Successful Career in Tech | Jovian
2024-03-13 11:55:59: Browser History Analysis - Notebook by Srijan (srijansrj5901) | Jovian
2024-03-13 11:55:59: Browser History Analysis - Notebook by Srijan (srijansrj5901) | Jovian
2024-03-13 11:55:36: browsers history dataset - Google Search
2024-03-13 11:55:36: browsers history dataset - Google Search
2024-03-13 11:55:26: internet browsers history dataset - Google Search
2024-03-13 11:52:11: Login or Register | Kaggle
2024-03-13 11:52:11: Kaggle: Your Home for Data Science
2024-03-13 11:52:11: Kaggle: Your Home for Data Science
2024-03-13 11:52:10: Kaggle: Your Home for Data Science
2024-03-13 11:50:49: Browser History
2024-03-13 11:50:49: Browser History | Kaggle
2024-03-13 11:50:49: Browser History | Kaggle
2024-03-13 11:50:49: Browser History | Kaggle
2024-03-13 11:50:45: internet browsers history dataset - Google Search
2024-03-13 11:50:44: internet browsers history dataset - Google Search
2024-03-13 11:50:32: how to get internet browsers history - Google Search
2024-03-13 11:50:30: pull user browser history : r/sysadmin
2024-03-13 11:49:41: do i need for human subject form human subject if someone donate data - Google Search
2024-03-13 11:49:28: Human Participants - Society for Science
2024-03-13 11:48:58: do i need for human subject form human subject if someone donate data - Google Search
2024-03-13 11:48:57: do i need for human subject form human subject if someone donate data - Google Search
2024-03-13 11:48:56: do i need form human subject form human subject if someone donate data - Google Search
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2
AI4Forensics/CKIM2024/readme.md
View File

@@ -37,7 +37,7 @@ By fostering a collaborative learning environment, this tutorial aims to empower
- [Construct a knowledge graph in STIX (zero-shot)](PhishingAttack/PhishingAttackScenarioDemo/03_evidence_stix_zeroshot.ipynb)
- [Construct a knowledge graph in STIX (one-shot)](PhishingAttack/PhishingAttackScenarioDemo/04_evidence_stix_oneshot.ipynb)
- [Compare one-shot vs. zero-shot](PhishingAttack/PhishingAttackScenarioDemo/05_evidence_stix_dot_generator.ipynb)
- Profiling suspect based on browser history (hands-on lab)
- [Profiling suspect based on browser history (hands-on lab)](BrowserHistory/Eric/profile_browser_history_Eric.ipynb)
- [Political insights analysis based on Hillary's leaked Emails (hands-on lab)](#political-insight-analysis-leveraging-llms)
- Challenges and Limitations of Leveraging LLM in Digital Forensics
- Conclusion