A Machine-Learning-Based Approach for the Detection and Mitigation of Distributed Denial-of-Service Attacks in Internet of Things Environments

A Machine-Learning-Based Approach for the Detection and Mitigation of Distributed Denial-of-Service Attacks in Internet of Things Environments

The widespread adoption of Internet of Things (IoT) devices has significantly increased the exposure of cloud-based architectures to cybersecurity risks, particularly Distributed Denial-of-Service (DDoS) attacks. Traditional detection methods often fail to efficiently identify and mitigate these thr...

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Bibliographic Details
Main Authors: Sebastián Berríos, Sebastián Garcia, Pamela Hermosilla, Héctor Allende-Cid
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
cybersecurity
internet of things (IoT)
distributed denial-of-service (DDoS) attacks
machine learning
deep learning
Online Access:https://www.mdpi.com/2076-3417/15/11/6012
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