{ "cells": [ { "cell_type": "markdown", "id": "3ca42223", "metadata": {}, "source": [ "# Example Side-Channel Acquisition\n", "\n", "In this notebook we show how to do an acquisition using the secbench framework, more precisely, the {py:mod}`secbench.api` and {py:mod}`secbench.storage` modules.\n", "\n", "## Bench and Hardware Setup" ] }, { "cell_type": "code", "execution_count": 4, "id": "282a2dfe", "metadata": {}, "outputs": [], "source": [ "import logging\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "from secbench.api import get_bench\n", "from secbench.storage import Dataset, Store" ] }, { "cell_type": "markdown", "id": "491aa452", "metadata": {}, "source": [ "First, we enable the logging and create a {py:class}`Bench`." ] }, { "cell_type": "code", "execution_count": 5, "id": "b2441e27", "metadata": {}, "outputs": [], "source": [ "logging.basicConfig(level=logging.INFO)" ] }, { "cell_type": "code", "execution_count": 6, "id": "1aeda543", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:secbench.api.bench:SECBENCH_USER_CONFIG not defined, no user configuration loaded\n", "INFO:secbench.api.bench:SECBENCH_SCOPENET not defined, skipping registration of VxiScanner\n", "INFO:secbench.api.bench:SECBENCH_PYVISA_BACKEND not defined, skipping registration of PyVisaScanner\n" ] } ], "source": [ "bench = get_bench()" ] }, { "cell_type": "markdown", "id": "5ea32c76", "metadata": {}, "source": [ "We now grab a scope.\n", "\n", "```{note}\n", "To make the notebook executable without real hardware, we create a simulated scope and register it manually. \n", "You can set `USE_SIMULATION=False` to load any connected oscilloscope.\n", "```" ] }, { "cell_type": "code", "execution_count": 7, "id": "9fd8ddf5-4d7c-4b52-8ae7-371f1dc44e9f", "metadata": {}, "outputs": [], "source": [ "# Comment the following line to load real hardware:\n", "USE_SIMULATION = True" ] }, { "cell_type": "code", "execution_count": 8, "id": "73f3ace7-19b4-42ce-916e-99c26e2c54cb", "metadata": {}, "outputs": [], "source": [ "if USE_SIMULATION:\n", " from secbench.api.simulation import SimulatedScope\n", " scope = SimulatedScope(channel_names=[\"1\", \"2\"])\n", " bench.register(scope)" ] }, { "cell_type": "markdown", "id": "588fc1c8", "metadata": {}, "source": [ "In a real experiment, the previous cell is not needed, you only need to do:" ] }, { "cell_type": "code", "execution_count": 9, "id": "2d395d64", "metadata": {}, "outputs": [], "source": [ "scope = bench.get_scope()" ] }, { "cell_type": "markdown", "id": "7d1599db", "metadata": {}, "source": [ "Here we define the parameters of the acquisition:" ] }, { "cell_type": "code", "execution_count": 10, "id": "25099682", "metadata": {}, "outputs": [], "source": [ "total_size = 300 # How many traces to acquire.\n", "batch_size = 100 # Size of batches acquisired for segmented acquisition.\n", "n_batches = total_size // batch_size" ] }, { "cell_type": "markdown", "id": "eb06ffa7", "metadata": {}, "source": [ "Then, we need to define some device under test (DUT). It is specific to each experiment.\n", "The goal of the device under test is to perform some computation (AES, RSA, ECC or other) and ideally generate a trigger signal.\n", "\n", "For this example, we suppose that the DUT processes a 16 byte plaintext. Our implementation below will force a trigger on the scope.\n", "In a real side-channel experiment, you will probably need to open a serial port, send the plaintext to the target, etc." ] }, { "cell_type": "code", "execution_count": 11, "id": "b0fabf43", "metadata": {}, "outputs": [], "source": [ "class Dut:\n", " def process(self, plaintext):\n", " scope.force_trigger()" ] }, { "cell_type": "markdown", "id": "f8cc5062", "metadata": {}, "source": [ "Now, we instanciate a DUT:" ] }, { "cell_type": "code", "execution_count": 12, "id": "a9a09086", "metadata": {}, "outputs": [], "source": [ "dut = Dut()" ] }, { "cell_type": "markdown", "id": "4b9bc5be", "metadata": {}, "source": [ "We generate some inputs for the acquisitions. Remember that the DUT processes 16-bytes plaintexts in our example." ] }, { "cell_type": "code", "execution_count": 13, "id": "374b2d70", "metadata": {}, "outputs": [], "source": [ "pts = np.random.randint(0, 256, size=(total_size, 16), dtype=np.uint8)" ] }, { "cell_type": "markdown", "id": "7b9f4d8f", "metadata": {}, "source": [ "## Dataset Initialization\n", "\n", "Now, we can create a {py:class}`~secbench.storage.Store` and a {py:class}`~secbench.storage.Dataset` inside it for our acquisition.\n", "If we were to do multiple acquisitions, we could create multiple {py:class}`~secbench.storage.Dataset` with different names." ] }, { "cell_type": "code", "execution_count": 14, "id": "93ff1f37", "metadata": {}, "outputs": [], "source": [ "store = Store('example_campaign.hdf5', mode='w')" ] }, { "cell_type": "code", "execution_count": 15, "id": "e8d1e1f1", "metadata": {}, "outputs": [], "source": [ "ds = store.create_dataset('my_acquisition', total_size, 'data', 'pts')" ] }, { "cell_type": "markdown", "id": "55e7e1df", "metadata": {}, "source": [ "## Acquisition" ] }, { "cell_type": "markdown", "id": "d991373a", "metadata": {}, "source": [ "To do an acquisition, we should first setup the scope and configure the trigger. This can be done manually or via the {py:class}`~secbench.api.instrument.Scope` API. We have a whole tutorial dedicated on this topic in {ref}`sec:using_scopes`.\n", "\n", "Here is an example configuration. Do not forget to **update it** if you do a real experiment." ] }, { "cell_type": "code", "execution_count": 16, "id": "45961356", "metadata": {}, "outputs": [], "source": [ "scope[\"1\"].setup(range=3, offset=0)\n", "scope[\"2\"].setup(range=10e-3, offset=0)\n", "scope.set_horizontal(samples=200, interval=1e-8)\n", "scope.set_trigger(channel=\"1\", level=1.2)" ] }, { "cell_type": "markdown", "id": "ecff669f", "metadata": {}, "source": [ "A good practice is to dump the scope configuration and save it in the dataset.\n", "\n", "This is how you get the scope configuration (we only query channels we use in our acquisition):" ] }, { "cell_type": "code", "execution_count": 17, "id": "73ccb103", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'scope_name': 'SimulatedScope',\n", " 'scope_description': 'simulated scope',\n", " 'scope_horizontal_samples': 200,\n", " 'scope_horizontal_interval': 1e-08,\n", " 'scope_horizontal_duration': 2e-06,\n", " 'scope_channel_1': {'coupling': ,\n", " 'offset': 0,\n", " 'range': 3,\n", " 'decimation': ,\n", " 'enabled': True},\n", " 'scope_channel_2': {'coupling': ,\n", " 'offset': 0,\n", " 'range': 0.01,\n", " 'decimation': ,\n", " 'enabled': True}}" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "scope_config = scope.config(channels=[\"1\", \"2\"])\n", "scope_config" ] }, { "cell_type": "markdown", "id": "f4754773", "metadata": {}, "source": [ "This is how you save the scope configuration in a dataset. By convention, we call the asset \"scope_config.json\"." ] }, { "cell_type": "code", "execution_count": 18, "id": "567b23d7", "metadata": {}, "outputs": [], "source": [ "ds.add_json_asset(\"scope_config.json\", scope_config)" ] }, { "cell_type": "markdown", "id": "4aaaabb9", "metadata": {}, "source": [ "If your scope supports it, segmented acquisitions can drastically speed-up the acquisition process." ] }, { "cell_type": "code", "execution_count": 19, "id": "8196b1d6", "metadata": {}, "outputs": [], "source": [ "scope.segmented_acquisition(batch_size)" ] }, { "cell_type": "markdown", "id": "fadd4b64", "metadata": {}, "source": [ "Now let's get some traces! Here is a generic acquisition loop:" ] }, { "cell_type": "code", "execution_count": 20, "id": "82b55d73", "metadata": {}, "outputs": [], "source": [ "for batch_number in range(n_batches):\n", " # We retrieve 10 batches of 100 traces each\n", " start, end = batch_number * batch_size, (batch_number + 1) * batch_size\n", " scope.arm()\n", " for exec_number in range(start, end):\n", " dut.process(pts[exec_number])\n", " scope.wait()\n", " # Query traces from the scope.\n", " traces, = scope.get_data(\"1\")\n", " # Add the batch of traces and pts to the dataset.\n", " ds.extend(traces, pts[start:end])" ] }, { "cell_type": "code", "execution_count": 21, "id": "5fee2bb9", "metadata": {}, "outputs": [], "source": [ "del ds\n", "store.close()\n", "del store" ] }, { "cell_type": "markdown", "id": "68fe51f7", "metadata": {}, "source": [ "## Reloading the Dataset\n", "\n", "This section shows how to reload the dataset. First, it is a good idea to inspect the data using the `secbench-db status` command. We can see for the \"my_acquisition\" dataset, we have `size=300`, which means the dataset was fully populated." ] }, { "cell_type": "code", "execution_count": 22, "id": "b1d687ad", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ROOT\n", " +-- my_acquisition\n", " +-- capacity: 300\n", " +-- size: 300\n", " +-- fields\n", " | +-- data: shape=(300, 200), dtype=int8\n", " | +-- pts: shape=(300, 16), dtype=uint8\n", " +-- assets\n", " +-- scope_config.json: shape=(390,), dtype=uint8\n" ] } ], "source": [ "!secbench-db status example_campaign.hdf5" ] }, { "cell_type": "markdown", "id": "764b2bdc", "metadata": {}, "source": [ "Now, we open the store in read-only mode. For analysis, we have no reason to open the store in write mode." ] }, { "cell_type": "code", "execution_count": 23, "id": "d6d2821b", "metadata": {}, "outputs": [], "source": [ "store_reload = Store(\"example_campaign.hdf5\", mode=\"r\")" ] }, { "cell_type": "code", "execution_count": 24, "id": "e15abe62", "metadata": {}, "outputs": [], "source": [ "ds = store_reload[\"my_acquisition\"]" ] }, { "cell_type": "code", "execution_count": 25, "id": "7831468c", "metadata": {}, "outputs": [], "source": [ "ds_data = ds[\"data\"]\n", "ds_pts = ds[\"pts\"]" ] }, { "cell_type": "markdown", "id": "543ca6aa", "metadata": {}, "source": [ "When you reload data, as shown in the previous cell, the data returned **are not numpy arrays**. At this point the data are not loaded in RAM, which is a good thing when you have huge datasets." ] }, { "cell_type": "code", "execution_count": 26, "id": "432b56bd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "print(type(ds_data))" ] }, { "cell_type": "markdown", "id": "86bead4d", "metadata": {}, "source": [ "Luckily, the `ds_data` and `ds_pts` support almost all numpy array methods." ] }, { "cell_type": "code", "execution_count": 27, "id": "9bec15b6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "int8\n", "(300, 200)\n" ] } ], "source": [ "print(ds_data.dtype)\n", "print(ds_data.shape)" ] }, { "cell_type": "code", "execution_count": 28, "id": "a8f53d9e", "metadata": {}, "outputs": [], "source": [ "ds_data_dram = ds_data[:]\n", "ds_pts_dram = ds_pts[:]" ] }, { "cell_type": "code", "execution_count": 29, "id": "742a3878", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "print(type(ds_data_dram))" ] }, { "cell_type": "markdown", "id": "99d3d423", "metadata": {}, "source": [ "At this point, you can do all side-channel processing you want. Our simulated data are not very interesting, but we can plot the mean trace for example:" ] }, { "cell_type": "code", "execution_count": 30, "id": "86f6bb2d", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(np.mean(ds_data, axis=0))\n", "plt.xlabel(\"Sample Index\")\n", "plt.ylabel(\"ADC Sample Value\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "ab2ba11b", "metadata": {}, "source": [ "You can also recover the configuration from the scope:" ] }, { "cell_type": "code", "execution_count": 31, "id": "ee4d9977", "metadata": {}, "outputs": [], "source": [ "ds_scope_config = ds.get_json_asset(\"scope_config.json\")" ] }, { "cell_type": "code", "execution_count": 32, "id": "62034881", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'scope_name': 'SimulatedScope',\n", " 'scope_description': 'simulated scope',\n", " 'scope_horizontal_samples': 200,\n", " 'scope_horizontal_interval': 1e-08,\n", " 'scope_horizontal_duration': 2e-06,\n", " 'scope_channel_1': {'coupling': 'dc',\n", " 'offset': 0,\n", " 'range': 3,\n", " 'decimation': 'sample',\n", " 'enabled': True},\n", " 'scope_channel_2': {'coupling': 'dc',\n", " 'offset': 0,\n", " 'range': 0.01,\n", " 'decimation': 'sample',\n", " 'enabled': True}}" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds_scope_config" ] }, { "cell_type": "markdown", "id": "1598948f", "metadata": {}, "source": [ "One nice thing is that we can recompute the real time scale of traces." ] }, { "cell_type": "code", "execution_count": 33, "id": "300ebabc", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "time_ns = 1e9 * scope_config[\"scope_horizontal_interval\"] * np.arange(ds_data.shape[1])\n", "\n", "plt.plot(time_ns, np.mean(ds_data, axis=0))\n", "plt.xlabel(\"Time (ns)\")\n", "plt.ylabel(\"ADC Sample Value\")\n", "plt.show()" ] } ], "metadata": { "jupytext": { "default_lexer": "ipython3", "formats": "ipynb,md:myst" }, "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": "3.11.14" } }, "nbformat": 4, "nbformat_minor": 5 }