MQTT Security: A Novel Fuzzing Approach

Author:

Hernández Ramos Santiago1ORCID,Villalba M. Teresa2,Lacuesta Raquel3ORCID

Affiliation:

1. Telefónica Digital, Madrid, Spain

2. Universidad Europea de Madrid, Madrid, Spain

3. Universidad de Zaragoza, Teruel, Spain

Abstract

The Internet of Things is a concept that is increasingly present in our lives. The emergence of intelligent devices has led to a paradigm shift in the way technology interacts with the environment, leading society to a smarter planet. Consequently, new advanced telemetry approaches appear to connect all kinds of devices with each other, with companies, or with other networks, such as the Internet. On the road to an increasingly interconnected world, where critical devices rely on communication networks to provide an essential service, there arises the need to ensure the security and reliability of these protocols and applications. In this paper, we discuss a security-based approach for MQTT (Message Queue Telemetry Transport), which stands out as a very lightweight and widely used messaging and information exchange protocol for IoT (Internet of Things) devices throughout the world. To that end, we propose the creation of a framework that allows for performing a novel, template-based fuzzing technique on the MQTT protocol. The first experimental results showed that performance of the fuzzing technique presented here makes it a good candidate for use in network architectures with low processing power sensors, such as Smart Cities. In addition, the use of this fuzzer in widely used applications that implement MQTT has led to the discovery of several new security flaws not hitherto reported, demonstrating its usefulness as a tool for finding security vulnerabilities.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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1. A Study of the Resilience of the Mosquitto MQTT Broker Running on Raspberry Pi Against Fuzzy DDoS Attacks;Proceedings of the 2024 Latin America Networking Conference;2024-08-15

2. Enabling Lightweight Device Authentication in Message Queuing Telemetry Transport Protocol;IEEE Internet of Things Journal;2024-05-01

3. A Novel Network Protocol Syntax Extracting Method for Grammar-Based Fuzzing;Applied Sciences;2024-03-13

4. SGANFuzz: A Deep Learning-Based MQTT Fuzzing Method Using Generative Adversarial Networks;IEEE Access;2024

5. Possibilities of Using Fuzz Testing in Smart Cities Applications;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

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