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Related Experiment Video

Updated: Dec 8, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process

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Published on: July 15, 2022

MultiFuzz: A Coverage-Based Multiparty-Protocol Fuzzer for IoT Publish/Subscribe Protocols.

Yingpei Zeng^1,2, Mingmin Lin¹, Shanqing Guo³

¹School of Cyberspace, Hangzhou Dianzi University, Hangzhou 310000, China.

Sensors (Basel, Switzerland)

|September 16, 2020

Summary

This summary is machine-generated.

MultiFuzz, a novel fuzzer, enhances the testing of multiparty protocols like MQTT and CoAP in IoT networks. It effectively uncovers more software vulnerabilities by addressing limitations in existing coverage-based fuzzing tools.

Keywords:

CoAP IoT MQTT Preeny coverage-based fuzzing desock multiparty-protocol fuzzer network protocol publish/subscribe security

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Area of Science:

Computer Science
Network Security
Software Engineering

Background:

The publish/subscribe model is crucial for Internet of Things (IoT) networks, with protocols like Message Queue Telemetry Transport (MQTT) and Constrained Application Protocol (CoAP) being widely adopted.
Existing coverage-based fuzzing tools often fail to adequately test multiparty protocols due to their assumption of only two interacting parties, whereas IoT protocols involve three: publisher, subscriber, and broker.
This limitation can lead to missed vulnerabilities in complex IoT communication scenarios.

Purpose of the Study:

To introduce MultiFuzz, a new coverage-based fuzzer specifically designed for multiparty protocols.
To overcome the limitations of traditional fuzzers in handling the complexities of IoT publish/subscribe architectures.
To improve the efficiency and effectiveness of vulnerability discovery in IoT network protocols.

Main Methods:

MultiFuzz embeds multiple-connection information within a single input to simulate complex interactions.
It employs a novel message mutation algorithm that stimulates protocol state transitions without requiring protocol specifications.
A specialized `desockmulti` module efficiently feeds network messages to the program under test, achieving 10x speed improvement over similar tools.

Main Results:

MultiFuzz was implemented based on the AFL fuzzer and successfully tested Eclipse Mosquitto and libCoAP.
The fuzzer identified and reported previously unknown issues to the respective projects.
Comparative analysis showed MultiFuzz discovering significantly more code paths and crashes than AFL, MOPT, and AFLNET.

Conclusions:

MultiFuzz represents a significant advancement in fuzzing technology for multiparty IoT protocols.
Its unique approach effectively addresses the challenges posed by the publisher-subscriber-broker interaction model.
The tool demonstrates superior performance in uncovering vulnerabilities, enhancing the security of IoT systems.