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Practical IoT Cryptography on the Espressif ESP8266

The Espressif ESP8266 chipset makes three-dollar ‘Internet of Things’ development boards an economic reality. According to the popular automatic firmware-building site nodeMCU-builds, in the last 60 days there have been 13,341 custom firmware builds for that platform.

Of those, only 19% have SSL support, and 10% include the cryptography module.

We’re often critical of the lack of security in the IoT sector, and frequently cover botnets and other attacks, but will we hold our projects to the same standards we demand? Will we stop at identifying the problem, or can we be part of the solution?

This article will focus on applying AES encryption and hash authorization functions to the MQTT protocol using the popular ESP8266 chip running NodeMCU firmware. Our purpose is not to provide a copy/paste panacea, but to go through the process step by step, identifying challenges and solutions along the way. The result is a system that’s end-to-end encrypted and authenticated, preventing eavesdropping along the way, and spoofing of valid data, without relying on SSL.

We’re aware that there are also more powerful platforms that can easily support SSL (e.g. Raspberry Pi, Orange Pi, FriendlyARM), but let’s start with the cheapest hardware most of us have lying around, and a protocol suitable for many of our projects. AES is something you could implement on an AVR if you needed to.

Theory

MQTT is a lightweight messaging protocol that runs on top of TCP/IP and is frequently used for IoT projects. Client devices subscribe or publish to topics (e.g. sensors/temperature/kitchen), and these messages are relayed by an MQTT broker. More information on MQTT is available on their webpage or in our own getting-started series.

The MQTT protocol doesn’t have any built-in security features beyond username/password authentication, so it’s common to encrypt and authenticate across a network with SSL. However, SSL can be rather demanding for the ESP8266 and when enabled, you’re left with much less memory for your application. As a lightweight alternative, you can encrypt only the data payload being sent, and use a session ID and hash function for authentication.

A straightforward way to do this is using Lua and the NodeMCU Crypto module, which includes support for the AES algorithm in CBC mode as well as the HMAC hash function. Using AES encryption correctly requires three things to produce ciphertext: a message, a key, and an initialization vector (IV). Messages and keys are straightforward concepts, but the initialization vector is worth some discussion.

When you encode a message in AES with a static key, it will always produce the same output. For example, the message “usernamepassword” encrypted with key “1234567890ABCDEF” might produce a result like “E40D86C04D723AFF”. If you run the encryption again with the same key and message, you will get the same result. This opens you to several common types of attack, especially pattern analysis and replay attacks.

In a pattern analysis attack, you use the knowledge that a given piece of data will always produce the same ciphertext to guess what the purpose or content of different messages are without actually knowing the secret key. For example, if the message “E40D86C04D723AFF” is sent prior to all other communications, one might quickly guess it is a login. In short, if the login system is simplistic, sending that packet (a replay attack) might be enough to identify yourself as an authorized user, and chaos ensues.

IVs make pattern analysis more difficult. An IV is a piece of data sent along with the key that modifies the end ciphertext result. As the name suggests, it initializes the state of the encryption algorithm before the data enters. The IV needs to be different for each message sent so that repeated data encrypts into different ciphertext, and some ciphers (like AES-CBC) require it to be unpredictable – a practical way to accomplish this is just to randomize it each time. IVs do not have to be kept secret, but it’s typical to obfuscate them in some way.

While this protects against pattern analysis, it doesn’t help with replay attacks. For example, retransmitting a given set of encrypted data will still duplicate the result. To prevent that, we need to authenticate the sender. We will use a public, pseudorandomly generated session ID for each message. This session ID can be generated by the receiving device by posting to an…

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