Detection of Different DDoS Attacks Using Machine Learning Classification Algorithms: An Evaluation with the CICDDoS2019 Dataset

DDOS is an important and constantly evolving kind of threat to networking security. An overflowing of services of targeted systems causes severe disruptions in services, making massive losses to companies. Since such attacks become more insidious, traditional methods are unable to detect them, making the identification and mitigation process difficult in real time. Hence, machine […]

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Publication Details

Published
2024-12-31
DOI
https://doi.org/10.20533/icitst.2024.0022
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Detection of Different DDoS Attacks Using Machine Learning Classification Algorithms: An Evaluation with the CICDDoS2019 Dataset

Olubusola Ayoola Odeniyi, Emmanuel Idowu
Network Security and Intrusion Detection
article

Detection of Different DDoS Attacks Using Machine Learning Classification Algorithms: An Evaluation with the CICDDoS2019 Dataset

Olubusola Ayoola Odeniyi, Emmanuel Idowu
article en

Abstract

DDOS is an important and constantly evolving kind of threat to networking security. An overflowing of services of targeted systems causes severe disruptions in services, making massive losses to companies. Since such attacks become more insidious, traditional methods are unable to detect them, making the identification and mitigation process difficult in real time. Hence, machine […]

Openalex Percentile: Top 65%
Network Security and Intrusion Detection
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Detection of Different DDoS Attacks Using Machine Learning Classification Algorithms: An Evaluation with the CICDDoS2019 Dataset — Olubusola Ayoola Odeniyi, Emmanuel Idowu · (2024) | TGRS Research Map | TGRS