What question did this study set out to answer?

To comprehensively review machine learning and deep learning methodologies capable of mitigating emerging vulnerabilities and securing diverse Internet of Things (IoT) attack surfaces.

April 21, 2022

A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security

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Authors

MAMohammed Ali Al-GaradiEmory University AMAmr MohamedQatar University AAAbdulla Al‐AliQatar University

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Implication

Review demonstrates machine and deep learning applications in securing Internet of Things networks, highlighting intelligence-based defenses against complex system vulnerabilities.

Key Points

To comprehensively review machine learning and deep learning methodologies capable of mitigating emerging vulnerabilities and securing diverse Internet of Things (IoT) attack surfaces.
Surveyed inherent and newly emerging security vulnerabilities spanning multiple architectural layers and attack surfaces across IoT systems.
Evaluated classical machine learning algorithms alongside recent deep learning architectures, comparing their core mechanisms, advantages, and operational limitations in cybersecurity tasks.
Identified that conventional security implementations, including static encryption, basic authentication, and access control, fail to adequately protect complex, multi-component IoT environments.
Demonstrated that machine and deep learning paradigms effectively shift IoT defense from passive transmission safeguards to proactive, intelligence-driven threat detection systems.
Highlighted key trade-offs between computational overhead and detection accuracy, outlining essential research challenges for deploying advanced models on resource-constrained devices.

Cite This Study

Al-Garadi et al. (2022) studied this question.

synapsesocial.com/papers/6a08be6a5686deba6901e516 https://doi.org/10.1109/comst.2020.2988293

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Implication

Review demonstrates machine and deep learning applications in securing Internet of Things networks, highlighting intelligence-based defenses against complex system vulnerabilities.

A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security

Discussion

Member takes

Implication

Key Points

Cite This Study

A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security

Discussion

Member takes

Implication

Key Points

Cite This Study

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