{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Sequences of Multi-labelled data\n", "Earlier we have examined the notion that documents can the thought of a sequence of tokens along with a mapping from a set of labels to these tokens. Ideas like stemming and lemmatization are linguistic methods for applying different label mappings to these token sequences. An example of this might be the sequence of tokens assocated with the sentence:\n", "
\"the cats sat in the cat box\"
\n", "This can be decomposed into the sequence of tokens:\n", "
[the, cats, sat, in, the, cat, box]
\n", "The notion of token and label are often confounded but it can be useful to keep them separated mentally. Here we a sequence of six tokens _token_1_ through _token_6_ along with a single label assocated with each token. In this case _'the' $\\mapsto$ token_1_ and _'the' $\\mapsto$ token_5_. They are different tokens with the same label.\n", "\n", "We take advantage of these shared labels in our TokenCooccurrenceVectorizer where we embed token labels into a vector space based on the locality of their associated tokens within our sequence. That is two labels are similar if their surrounding tokens share many common labels. This is covered in more explicite detail in:\n", "\n", "[TODO: Add Link to TokenCooccurrenceVectorizer readme](https://noteboook_link_here)\n", "\n", "That said there is nothing which necessitates that we associate a single label with each token. In fact, as we mentioned previously, stemming can be thought of as a way of contracting the label space by contracting a set of labels such as _(tabby, feline, cat, cats)_ to a single token label _(cat)_. Traditionally in NLP, we would replace the label mapping for all the tokens previously associated with various feline tokens with our new canonical token _cat_. This has the twin advantages of simplifying our label space, making it easier to analyse, and seeing more examples of _cat_ in our text, potentially improving the embedding of this label by providing more contexts in which it was used. If we didn't care about simplifying our token space we could, in fact, get the second benefit without the first. Instead of replacing our label mapping to each of these tokens we could instead map from a set of labels to each token instead of from a single labels. Thus, in our previous example of *\"the cats sat in the cat box\"* _{cat, cats} $\\mapsto$ token_2_. \n", "\n", "One oddity this introduces is that the contex of _sat_ now has both the labels _cat_ and _cats_ occuring at a distance of 1 from it. This can become problematic if taken to extreme levels in that that very wide context windows when combined with large label sets could cause a combinatorial explosion. When used in moderation this can be a powerful and quite useful technique in that it allows us a great deal of freedom when moving beyond the text domain to other sequence domains. The other oddity that this can introduce is that the labels _cat_ and _cats_ now cooccur within a context window at distance zero from each other. This has the nice property of encoding the label similarity that has been specified by our mapping int our embedding. \n", "\n", "A great example of the usefulness of this multi-label framework occurs when looking at the cyber defense domain. The [Operationally Transparent Cyber (OpTC)](https://github.com/FiveDirections/OpTC-data) data is a DARPA released data set that examines the sequence of computer events on a small network of computers and asks researchers to search for known malicious activity within these events. More details on this dataset, it's content and utility for cyber defense analysis can be found in the recent paper [Analyzing the Usefulness of the DARPA OpTCDataset in Cyber Threat Detection Research](https://arxiv.org/pdf/2103.03080.pdf). \n", "\n", "The interesting thing for us to note is that this data was described as a **\"sequence of events\"**. What differentiates cyber **events** from those **tokens** we spoke about in NLP? The short answer is nothing other than the fact that they can't be easily represented by a single label. Now we have a framework for representing such multi-labelled tokens or events. Let's see what that might look like in practice.\n", "\n", "Cyber events come in a variety of flavours. The most common being FLOW events. Flow event represent data being transmitted between two computers. They are commonly summarized via a set of descriptions such as:\n", "\n", "
[process, source_IP, source_port, destination_IP, destination_port, protocal, time_stamp]
\n", "\n", "Here a process instantiated a connection from a source IP address and port to a destination IP address and port and sent data over that connection at a particular time.\n", "\n", "Previously it might have been difficult to think about how we might apply something like a \n", "TokenCooccurrenceVectorizer to this sort of data but with our new notion of muli-labelled tokens we quickly realize that flow events are really just tokens with interesting labels associated with them and a sequence induced via our time_stamps. This should allow us to embed these labels into a useful vector space with similar tokens being placed near other tokens that appear within the same event and have similar preceeding and following events.\n", "\n", "Let's walk through a few increasingly more complex examples." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Import Some libraries\n", "\n", "We'll need TokenCooccurrenceVectorizer from our vectorizers library along with a few helper functions for dealing with our data and plotting it." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "from vectorizers import TokenCooccurrenceVectorizer\n", "from vectorizers.utils import flatten\n", "\n", "import pandas as pd\n", "import numpy as np\n", "import umap\n", "import umap.plot" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll add some bokeh imports for easy interactive plots" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " \n", " Loading BokehJS ...\n", "
\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/javascript": [ "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " const force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", "const JS_MIME_TYPE = 'application/javascript';\n", " const HTML_MIME_TYPE = 'text/html';\n", " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", " const CLASS_NAME = 'output_bokeh rendered_html';\n", "\n", " /**\n", " * Render data to the DOM node\n", " */\n", " function render(props, node) {\n", " const script = document.createElement(\"script\");\n", " node.appendChild(script);\n", " }\n", "\n", " /**\n", " * Handle when an output is cleared or removed\n", " */\n", " function handleClearOutput(event, handle) {\n", " const cell = handle.cell;\n", "\n", " const id = cell.output_area._bokeh_element_id;\n", " const server_id = cell.output_area._bokeh_server_id;\n", " // Clean up Bokeh references\n", " if (id != null && id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", "\n", " if (server_id !== undefined) {\n", " // Clean up Bokeh references\n", " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", " cell.notebook.kernel.execute(cmd_clean, {\n", " iopub: {\n", " output: function(msg) {\n", " const id = msg.content.text.trim();\n", " if (id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", " }\n", " }\n", " });\n", " // Destroy server and session\n", " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", " cell.notebook.kernel.execute(cmd_destroy);\n", " }\n", " }\n", "\n", " /**\n", " * Handle when a new output is added\n", " */\n", " function handleAddOutput(event, handle) {\n", " const output_area = handle.output_area;\n", " const output = handle.output;\n", "\n", " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", " return\n", " }\n", "\n", " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", "\n", " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", " // store reference to embed id on output_area\n", " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", " }\n", " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", " const bk_div = document.createElement(\"div\");\n", " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", " const script_attrs = bk_div.children[0].attributes;\n", " for (let i = 0; i < script_attrs.length; i++) {\n", " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", " }\n", " // store reference to server id on output_area\n", " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", " }\n", " }\n", "\n", " function register_renderer(events, OutputArea) {\n", "\n", " function append_mime(data, metadata, element) {\n", " // create a DOM node to render to\n", " const toinsert = this.create_output_subarea(\n", " metadata,\n", " CLASS_NAME,\n", " EXEC_MIME_TYPE\n", " );\n", " this.keyboard_manager.register_events(toinsert);\n", " // Render to node\n", " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", " render(props, toinsert[toinsert.length - 1]);\n", " element.append(toinsert);\n", " return toinsert\n", " }\n", "\n", " /* Handle when an output is cleared or removed */\n", " events.on('clear_output.CodeCell', handleClearOutput);\n", " events.on('delete.Cell', handleClearOutput);\n", "\n", " /* Handle when a new output is added */\n", " events.on('output_added.OutputArea', handleAddOutput);\n", "\n", " /**\n", " * Register the mime type and append_mime function with output_area\n", " */\n", " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", " /* Is output safe? */\n", " safe: true,\n", " /* Index of renderer in `output_area.display_order` */\n", " index: 0\n", " });\n", " }\n", "\n", " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", " if (root.Jupyter !== undefined) {\n", " const events = require('base/js/events');\n", " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", "\n", " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", " register_renderer(events, OutputArea);\n", " }\n", " }\n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", " const NB_LOAD_WARNING = {'data': {'text/html':\n", " \"
\\n\"+\n", " \"

\\n\"+\n", " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", " \"

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\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"1002\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\", \"https://unpkg.com/@holoviz/panel@0.14.4/dist/panel.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import bokeh.io\n", "bokeh.io.output_notebook()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Let's fetch some data\n", "\n", "The OpTC data is a bit difficult to pull and parse into easy to process formats. I will leave that as an excercise to the reader. A colleague of ours has pulled this data and restructured it into parquet files distributed across a nice file structure but that is outside of the scope of this notebook. \n", "\n", "For the purposes of this notebook we will load simple pandas data frames that were derived from this events data. Each event is a row in one of these data frames and we have wide set of columns representing all of the summary labels that one might use to represent our various types of cyber events.\n", "\n", "In order for this example to be easily reproducable on a reasonably small machine we we limit our initial analysis to one days worth of FLOW MESSAGE data on a single host. This is for demonstration purposes only and a useful analysis of this data should be broadened to incorporate more of this data." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(12328, 12)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "flows_onehost_oneday = pd.read_csv(\"/Users/jchealy/notebooks/data/optc_categorical.csv\")\n", "flows_onehost_oneday.shape" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "ename": "FileNotFoundError", "evalue": "[Errno 2] No such file or directory: 'optc_flows_onehost_oneday.csv'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m flows_onehost_oneday \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43moptc_flows_onehost_oneday.csv\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2\u001b[0m flows_onehost_oneday\u001b[38;5;241m.\u001b[39mshape\n", "File \u001b[0;32m~/mambaforge/envs/vectorizers_build/lib/python3.10/site-packages/pandas/io/parsers/readers.py:912\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 899\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 900\u001b[0m dialect,\n\u001b[1;32m 901\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 908\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 909\u001b[0m )\n\u001b[1;32m 910\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 912\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/mambaforge/envs/vectorizers_build/lib/python3.10/site-packages/pandas/io/parsers/readers.py:577\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 574\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 576\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 577\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 579\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 580\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n", "File \u001b[0;32m~/mambaforge/envs/vectorizers_build/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1407\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1404\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1406\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1407\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/mambaforge/envs/vectorizers_build/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1661\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1659\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1660\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1661\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1662\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1663\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1664\u001b[0m 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Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 856\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 857\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 858\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 859\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 860\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 861\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 862\u001b[0m \u001b[43m 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"source": [ "flows_onehost_oneday = pd.read_csv(\"optc_flows_onehost_oneday.csv\")\n", "flows_onehost_oneday.shape" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/plain": [ "Index(['action', 'actorID', 'id', 'object', 'objectID', 'pid', 'ppid',\n", " 'principal', 'tid', 'acuity_level', 'base_address', 'command_line',\n", " 'context_info', 'data', 'dest_ip', 'dest_port', 'direction', 'end_time',\n", " 'file_path', 'image_path', 'info_class', 'key', 'l4protocol',\n", " 'logon_id', 'module_path', 'name', 'new_path', 'parent_image_path',\n", " 'path', 'payload', 'privileges', 'requesting_domain',\n", " 'requesting_logon_id', 'requesting_user', 'service_type', 'sid', 'size',\n", " 'src_ip', 'src_pid', 'src_port', 'src_tid', 'stack_base', 'stack_limit',\n", " 'start_address', 'start_time', 'start_type', 'subprocess_tag',\n", " 'task_name', 'task_pid', 'task_process_uuid', 'tgt_pid', 'tgt_pid_uuid',\n", " 'tgt_tid', 'type', 'user', 'user_name', 'user_stack_base',\n", " 'user_stack_limit', 'value', 'timestamp'],\n", " dtype='object')" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "flows_onehost_oneday.columns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You'll notice that we have just over a million events that are being desribed by a wide variety of descriptive columns. Since we've limited our data to network flow data many of these columns aren't populated for this particular data set. For a more detailed description of this data and these fields I point a reader to the paper we mentioned earlier, [Analyzing the Usefulness of the DARPA OpTCDataset in Cyber Threat Detection Research](https://arxiv.org/pdf/2103.03080.pdf). \n", "\n", "For the purposes of this notebook we are most interested in:\n", "\n", "
[process, source_IP, source_port, destination_IP, destination_port, protocal, time_stamp]
\n", "\n", "In this data these correspond to the fields:\n", "\n", "
['image_path', 'src_ip', 'src_port','dest_ip', 'dest_port', 'l4protocol', 'timestamp']
" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "flow_variables = ['image_path', 'src_ip', 'src_port','dest_ip', 'dest_port', 'l4protocol']\n", "categorical_variables = flow_variables \n", "sort_by = ['timestamp']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Restructure our data\n", "\n", "Now we need to restructure this data into a format for easy consumption for cooccurrence vectorizerization.\n", "\n", "We will convert each row of our data_frame into a sequence of multi-labelled events. To do that we'll need to convert from a list of categorical column values into a a list of labels. An easy way to define a label associated with a categorical column is in the form of the string f'{column_name}:{value}'." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll first ensure that our events are propperyl ordered by time" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "flows_sorted = flows_onehost_oneday.sort_values(by = 'timestamp')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we limit ourselves to the columns of interest for these particular events." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/plain": [ "(1066972, 6)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "flows_df = flows_sorted[flows_sorted.columns.intersection(categorical_variables)]\n", "flows_df.shape" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/html": [ "
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dest_ipdest_portimage_pathl4protocolsrc_ipsrc_port
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" ], "text/plain": [ " dest_ip dest_port \\\n", "486928 142.20.56.121 54564 \n", "85558 224.0.0.252 5355 \n", "54700 224.0.0.252 5355 \n", "\n", " image_path l4protocol \\\n", "486928 \\Device\\HarddiskVolume1\\Windows\\system32\\svcho... 17 \n", "85558 \\Device\\HarddiskVolume1\\Windows\\system32\\svcho... 17 \n", "54700 \\Device\\HarddiskVolume1\\Windows\\system32\\svcho... 17 \n", "\n", " src_ip src_port \n", "486928 142.20.61.130 53 \n", "85558 142.20.59.60 63450 \n", "54700 142.20.57.70 56722 " ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "flows_df.head(3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we'll quickly iterate through this dataframe and into our list of lists format." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "def categorical_columns_to_list(data_frame, column_names):\n", " \"\"\"\n", " Takes a data frame and a set of columns and represents each row a list of the appropriate non-empty columns\n", " of the form column_name:value.\n", " \"\"\"\n", " label_list = pd.Series([[f'{k}:{v}' for k, v in zip(column_names, t) if v is not None]\n", " for t in zip(*map(data_frame.get, column_names))])\n", " return label_list" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/plain": [ "1066972" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "flow_labels = categorical_columns_to_list(flows_df, categorical_variables)\n", "len(flow_labels)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/plain": [ "['image_path:\\\\Device\\\\HarddiskVolume1\\\\Windows\\\\system32\\\\svchost.exe',\n", " 'src_ip:142.20.61.130',\n", " 'src_port:53',\n", " 'dest_ip:142.20.56.121',\n", " 'dest_port:54564',\n", " 'l4protocol:17']" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "flow_labels[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# MultiSetCooccurrenceVectorizer\n", "\n", "We initially only embed labels that occur at least 20 times within our days events. This prevents us from attempting to embed labels that we have very limited data for. \n", "\n", "We use are dealing with a sequence of multi-labelled events and hence we use the MultiSetCooccurrenceVectorizer.\n", "\n", "We will initally select a window_radii=2 in order to include some very limited sequence information. The presumption here is that the flow messages that occurred near each other in the sequence of flow events are related to each other.\n", "\n" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "This constructs an embedding of 15014 labels represented by their cooccurrence with 30028 labels occurring before and after them.\n", " We have then reduced this space to a 150 dimensional representation.\n" ] } ], "source": [ "word_vectorizer = MultiSetCooccurrenceVectorizer(\n", " min_occurrences= 20,\n", " window_radii=2).fit(flow_labels)\n", "word_vectors = word_vectorizer.reduce_dimension()\n", "\n", "print(f\"This constructs an embedding of {word_vectorizer.cooccurrences_.shape[0]} labels represented by their\",\n", " f\"cooccurrence with {word_vectorizer.cooccurrences_.shape[1]} labels occurring before and after them.\\n\",\n", " f\"We have then reduced this space to a {word_vectors.shape[1]} dimensional representation.\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For the purposes of visualization we will use our UMAP algorithm to embed this data into two dimensional space." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "model = umap.UMAP(n_neighbors=30, metric='cosine', unique=True, random_state=42).fit(word_vectors)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "hover_df = pd.DataFrame({'label':word_vectorizer.token_label_dictionary_.keys()})\n", "event_type = hover_df.label.str.split(':', n=1, expand=True)\n", "event_type.columns = ['type','value']\n", "umap.plot.points(model, theme='fire', labels=event_type['type']);" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "source": [ "A little exploration of this space quickly reveals that our label space is overwhelmed by source ports (and some destination ports with values in the range 40,000 to 60,000. A little consultation with subject matter experts quickly reveals that these are so called ephemeral ports. That is a pre-established range of ports that are used to establish temporary connections and then thrown away to be re-used by other processes later. The disposable nature of these ports explains why there is such a plethora of them within our label space. In fact what we see here are clusters of these ports that are all used by the same process and IP pairs over the course of our day. \n", "\n", "Though it's encouraging that we can easily detect this structure it is essentially meaningless structure since it tells us nothing about the flows or processes and is completely unstable over any period of time. As such we will want to remove these tokens from our space.\n", "\n", "Fortunately all of the cooccurrence vectorizers have an exclude_token_regex parameter which will allow us to remove these tokens with very little work." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "This constructs an embedding of 3245 labels represented by their cooccurrence with 6490 labels occurring before and after them.\n", " We have then reduced this space to a 150 dimensional representation.\n" ] } ], "source": [ "word_vectorizer = MultiSetCooccurrenceVectorizer(\n", " min_occurrences= 20,\n", " window_radii=2,\n", " excluded_token_regex='(src\\_port|dest\\_port):[4-6][0-9]{4}').fit(flow_labels)\n", "word_vectors = word_vectorizer.reduce_dimension()\n", "\n", "print(f\"This constructs an embedding of {word_vectorizer.cooccurrences_.shape[0]} labels represented by their\",\n", " f\"cooccurrence with {word_vectorizer.cooccurrences_.shape[1]} labels occurring before and after them.\\n\",\n", " f\"We have then reduced this space to a {word_vectors.shape[1]} dimensional representation.\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As before we'll reduce this 150 dimensional representation to a two dimensional representation for visualization and exploration. Since we are already using subject matter knowledge to enrich our analysis we will continue in this vein and label our IP addresses with whether they are internal or external addresses. Internal IP addresses are of the form 10.\\*.\\*.\\*." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "model = umap.UMAP(n_neighbors=30, metric='cosine', unique=True, random_state=42).fit(word_vectors)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "hover_df = pd.DataFrame({'label':word_vectorizer.token_label_dictionary_.keys()})\n", "internal_bool = hover_df.label.str.contains(\"ip:10\\.\")\n", "event_type = hover_df.label.str.split(':', n=1, expand=True)\n", "event_type.columns = ['type','value']\n", "event_type['type'][internal_bool] = event_type['type'][internal_bool] + '_internal'\n", "umap.plot.points(model, theme='fire', labels=event_type['type']);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This provides a nice structure over our token label space. We see and can interesting mixtures of internal and external source IP spaces with connections making use of specific source and destination ports seperating off nicely into their own clusters.\n", "\n", "The next step would be to look at your data by building an interactive plot and starting to exploring these clusters in earnest." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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\",\"dtype\":\"float32\",\"order\":\"little\",\"shape\":[3245]}},\"selected\":{\"id\":\"1051\"},\"selection_policy\":{\"id\":\"1052\"}},\"id\":\"1003\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"1003\"},\"glyph\":{\"id\":\"1038\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1039\"},\"view\":{\"id\":\"1041\"}},\"id\":\"1040\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"active_multi\":null,\"tools\":[{\"id\":\"1021\"},{\"id\":\"1022\"},{\"id\":\"1023\"},{\"id\":\"1024\"},{\"id\":\"1025\"},{\"id\":\"1026\"},{\"id\":\"1028\"}]},\"id\":\"1029\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1021\",\"type\":\"PanTool\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"label\",\"@{label}\"]]},\"id\":\"1028\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1011\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1049\",\"type\":\"AllLabels\"},{\"attributes\":{\"axis\":{\"id\":\"1017\"},\"dimension\":1,\"ticker\":null,\"visible\":false},\"id\":\"1020\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1009\",\"type\":\"LinearScale\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1027\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1025\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1052\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"overlay\":{\"id\":\"1027\"}},\"id\":\"1023\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1005\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1018\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1047\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1007\",\"type\":\"DataRange1d\"},{\"attributes\":{\"formatter\":{\"id\":\"1044\"},\"major_label_policy\":{\"id\":\"1046\"},\"ticker\":{\"id\":\"1018\"},\"visible\":false},\"id\":\"1017\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"field\":\"alpha\"},\"fill_color\":{\"field\":\"color\"},\"line_alpha\":{\"field\":\"alpha\"},\"line_color\":{\"field\":\"color\"},\"size\":{\"value\":3},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1038\",\"type\":\"Circle\"}],\"root_ids\":[\"1004\"]},\"title\":\"Bokeh Application\",\"version\":\"2.3.2\"}};\n", " var render_items = [{\"docid\":\"4cd6efd4-5934-49c0-9848-b9ee7b35fedf\",\"root_ids\":[\"1004\"],\"roots\":{\"1004\":\"a95a331f-f792-415d-b3c1-51659acbb88d\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", " } else {\n", " var attempts = 0;\n", " var timer = setInterval(function(root) {\n", " if (root.Bokeh !== undefined) {\n", " clearInterval(timer);\n", " embed_document(root);\n", " } else {\n", " attempts++;\n", " if (attempts > 100) {\n", " clearInterval(timer);\n", " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", " }\n", " }\n", " }, 10, root)\n", " }\n", "})(window);" ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "1004" } }, "output_type": "display_data" } ], "source": [ "p = umap.plot.interactive(model, theme='fire', labels=event_type['type'], hover_data=hover_df, point_size=3, width=600, height=600)\n", "umap.plot.show(p)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.10.10" } }, "nbformat": 4, "nbformat_minor": 4 }