Research on Password Detection Technology of IoT Equipment Based on Wide Area Network

Qu, Jia

doi:10.1016/j.icte.2021.09.013

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Vulnerabilities Impact (Consequences)1

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2022

2023

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“…This vulnerability usually was performed to carry out attacks against the authorization of the IoT devices which allows the attacker to gain permission to control and access its ecosystem [19][20][21][22][23].…”

Section: Vulnerabilities Impact (Consequences)mentioning

confidence: 99%

Machine-Learning-Based Vulnerability Detection and Classification in Internet of Things Device Security

Hulayyil,

Li,

2023

Electronics

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Detecting cyber security vulnerabilities in the Internet of Things (IoT) devices before they are exploited is increasingly challenging and is one of the key technologies to protect IoT devices from cyber attacks. This work conducts a comprehensive survey to investigate the methods and tools used in vulnerability detection in IoT environments utilizing machine learning techniques on various datasets, i.e., IoT23. During this study, the common potential vulnerabilities of IoT architectures are analyzed on each layer and the machine learning workflow is described for detecting IoT vulnerabilities. A vulnerability detection and mitigation framework was proposed for machine learning-based vulnerability detection in IoT environments, and a review of recent research trends is presented.

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