SGANFuzz: A Deep Learning-Based MQTT Fuzzing Method Using Generative Adversarial Networks

SGANFuzz: A Deep Learning-Based MQTT Fuzzing Method Using Generative Adversarial Networks

As the Internet of Things (IoT) industry grows, the risk of network protocol security threats has also increased. One protocol that has come under scrutiny for its security vulnerabilities is MQTT (Message Queuing Telemetry Transport), which is widely used. To address this issue, an automated execut...

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Bibliographic Details
Main Authors: Zhiqiang Wei, Xijia Wei, Xinghua Zhao, Zongtang Hu, Chu Xu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
MQTT
fuzz test
generative adversarial networks
time-series models
transformer
vulnerability detection
Online Access:https://ieeexplore.ieee.org/document/10433531/

Internet

https://ieeexplore.ieee.org/document/10433531/

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