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" } }, "cell_type": "markdown", "metadata": { "toc-hr-collapsed": false }, "source": [ "![header.png](attachment:2087d183-9538-4c34-a9f7-5f6a5428c6ee.png)\n", "
Author: Jens Henrik Göbbert
\n", "
Index
\n", "

2-Factor Authentication (2FA)

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", " \n", "
\n", "\n", "## Introduction\n", "2-Factor Authentication (2FA), sometimes referred to as two-factor verification, is a security method in which you provide **two different authentication factors** to identify yourself at login.\n", "This process is **performed to better protect** both your credentials and the resources that you can access.\n", "\n", "In the **first login step**, you start with the usual entry of a good password. The service then confirms the correctness of the password entered.\n", "This does not, however, lead directly to the desired entrance - but to a further barrier.\n", "\n", "The **second login step** prevents unauthorized third parties from gaining access to your account just because they might have stolen your password.\n", "A quite common 2nd-factor is a **One-Time Password (OTP)** generated by a so-called **OTP-App** you install and initialize once on one of your personal devices.\n", "This *OTP-app* then provides (in our case every 30 seconds) a new *one-time password* that needs to be entered on the login page.\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "
\n", "\n", "## Basic Principle\n", "These two factors for authentication combine the building blocks **knowledge** and **possession** in the login procedure. \n", "- **knowledge** - the secret knowledge is the password you enter. \n", "- **possession** - With the *one-time password* you show that you are in possession of a certain device (e.g. your smartphone), because only the *OTP-App*, installed on that device, can generate it. \n", "\n", "
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Source: Bundesamt für Sicherheit in der Informationstechnik

\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", " \n", "
\n", "\n", "## Algorithm\n", "The **OTP-App** can calculate personal one-time passwords completely autonomously from the outside world using a standardized and open algorithm for the generation of **Time-based One-Time Passwords (TOTP)**. \n", "\n", "The *TOTP algorithm* was published in 2011 by the [Internet Engineering Task Force (IETF)](https://www.ietf.com) as [RFC 6238](https://tools.ietf.org/html/rfc6238). The *TOTP algorithm* is a hash function in which a secret code is hashed together with the current time.\n", "Behind the hash function is the HMAC-based One-time Password Algorithm according to [RFC 4226](https://tools.ietf.org/html/rfc4226) - in simple terms nothing more than a standard that forms a hash in a certain way.\n", "\n", "The calculation includes both a **\"secret initialization code\"**, that is known to both the server and the client, and the **current time**.\n", "The final *one-time password* is generated from these two inputs and is valid for a certain period of time. (in our case for **30 seconds**).\n", "The procedure can be implemented in such a way that slight differences in time between client and server are accepted.\n", "\n", "Hence, any *one-time password* is time-based, calculated locally, and always unique.\n", "\n", "
\n", "\n", "------------------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# How to get started with 2FA\n", "
\n", " \n", " \n", "
\n", "\n", "## Preparation\n", "\n", "To get ready to use 2-Factor Authentication (2FA) for Jupyter-JSC you have to **prepare** it ONCE: \n", "- (1) **request 2FA** for Jupyter-JSC, \n", " - (a) login to [Jupyter-JSC](https://jupyter-jsc.fz-juelich.de) \n", " - (b) visit https://jupyter-jsc.fz-juelich.de/2fa and request 2FA \n", " - (c) wait for a *confirmation emails* and click the provided *activation link* \n", "- (2) **activate 2FA** for Juypter-JSC,\n", " - (a) install an **OTP-App**, which supports the TOTP algorithm \n", " - (b) communicate the **secret initialization code** to this *OTP-App* \n", " - (c) test a first **one-time password** generated. \n", "\n", "... and then 2FA is ready to be used next time you log in.\n", "\n", "### 1. Request 2FA\n", "Please login to Jupyter-JSC as usual through https://jupyter-jsc.fz-juelich.de \n", "and visit the webpage **https://jupyter-jsc.fz-juelich.de/2fa** for requesting 2FA.\n", "\n", "Please read the notes on this webpage carefully and click the button **Request 2FA** to start. \n", "A **confirmation email** including an **activation link** will be send to you directly.\n", "\n", "### 2. Activate 2FA\n", "Please follow this *activation link* to instruct Jupyter-JSC for preparation of your 2FA. \n", "You will be asked to re-login to your account to recieve a **secret initialization code** as QR-Code (and string) \n", "for a required *OTP-App*. \n", "\n", "So first, you need to install an **OTP-App** on one of your personal devices (if you haven´t done so already), \n", "which you plan to use in the future to generate the required **one-time passwords** for each time you log in:\n", "\n", "
\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
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\n", " \n", " \n", "
\n", "\n", "### a. OTP-App Installation\n", "There are a large number of different *OTP-Apps* available that implemented the *TOTP algorithm*. \n", "You have to install **one of them** - for example, take one of the following: \n", "\n", "Recommended, free & open-source:\n", " - [**FreeOTP**](https://freeotp.github.io) ([iOS](https://apps.apple.com/de/app/freeotp-authenticator/id872559395), [Android](https://play.google.com/store/apps/details?id=org.fedorahosted.freeotp&hl=de)) \n", " - [**KeeWeb**](https://keeweb.info) ([Windows](https://keeweb.info), [macOS](https://keeweb.info), [Linux](https://keeweb.info), [online](https://keeweb.info))\n", "\n", "Free, but closed source:\n", " - [**Authy**](https://authy.com/download/) ([iOS](https://apps.apple.com/de/app/authy/id494168017), [Android](https://play.google.com/store/apps/details?id=com.authy.authy), [Windows](https://authy.com/download/), [macOS](https://authy.com/download/), [Linux](https://snapcraft.io/authy)) \n", " - [**Protectimus Smart OTP**](https://www.protectimus.com/protectimus-smart) ([iOS](https://apps.apple.com/ie/app/protectimus-smart/id854508919), [Android](https://play.google.com/store/apps/details?id=com.protectimus.android)) \n", " - [**Google Authenticator**](https://de.wikipedia.org/wiki/Google_Authenticator) ([iOS](https://apps.apple.com/de/app/google-authenticator/id388497605), [Android](https://play.google.com/store/apps/details?id=com.google.android.apps.authenticator2) ) \n", " - [**Microsoft Authenticator**](https://www.microsoft.com/en-us/account/authenticator) ([iOS](https://apps.apple.com/de/app/microsoft-authenticator/id983156458), [Android](https://play.google.com/store/apps/details?id=com.azure.authenticator), [Windows 10 Mobile](https://www.microsoft.com/en-us/p/microsoft-authenticator/9nblgggzmcj6)) \n", "\n", "The *TOTP algorithm* can also be implemented in hardware as a so-called \"hardware token\" (e.g. [Protectimus Tokens](https://www.protectimus.com/tokens/), [Microcosm Tokens](https://www.microcosm.com/products/oath-otp-authentication-tokens)) \n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", " \n", "
\n", "\n", "### b. OTP-App Initialization & Validation\n", "Before you can use 2FA for Jupyter-JSC a random, user-specific, unique and **secret initialization code** must be known by both Jupyter-JSC and the your *OTP-App*.\n", "This *secret initialization code* gets generated by Jupyter-JSC and is shown as a **QR-Code** (or string) on the activation page.\n", "\n", "The QR-Code provides the *secret initialization code* with the descriptive data (1) algorithm = TOTP, (2) period of validity = 30s.\n", "**If you prefer to use the string** instead of the QR-Code, please ensure you set these descriptive dates manually in your *OTP-App*.\n", "\n", "Next, the *OTP-App* provides now a **verification code** you have to enter on the activation webpage.\n", "Jupyter-JSC compares the *verification code* you provide with the one generated by Jupyter-JSC.\n", "\n", "If they match, **2FA is now activated**.\n", "\n", "
\n", "\n", "----------------------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", " \n", "
\n", "\n", "### 2FA-Login at Jupyter-JSC\n", "Congratulation! You are now ready to use 2-Factor Authentication with Jupyter-JSC.\n", "\n", "Login is now as simple as this\n", "1. **Enter your JSC-account password** \n", " Each time you log in, you enter your JSC-account password as usual. \n", "2. **Enter the current one-time password** \n", " You will then be asked for a *one-time password* that you can read from your installed & initialized *OTP-App* (e.g. on your smartphone). \n", " \n", "**Remember me** \n", "Jupyter-JSC can set a cookie to remember, that you have logged in from this device already. \n", "Just check the \"Remember me\" **checkbox** where you enter *one-time password* . \n", "Jupyter-JSC **skips the request** of a *one-time password* in this browser on that device then for **one week**. \n", " \n", " " ] } ], "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": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }