2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT) 2023
DOI: 10.1109/icssit55814.2023.10060897
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DDOS Attack Detection with Machine Learning: A Systematic Mapping of Literature

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Cited by 3 publications
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“…The literature of this work offered methodology based on machine learning to analyze the DDoS traffic and detect the attack [3]. This paper highlighted the various literature works on DDoS attack detection and provided detailed analysis of various algorithms like Random Forest and CNN employed on various datasets [4]. The work presented in this paper presented detailed study of machine learning algorithms on the datasets available includes NSL-KDD, ICDX, CIDDS-001, CICIDS 2017 in the cloud environment [5].…”
Section: Related Workmentioning
confidence: 99%
“…The literature of this work offered methodology based on machine learning to analyze the DDoS traffic and detect the attack [3]. This paper highlighted the various literature works on DDoS attack detection and provided detailed analysis of various algorithms like Random Forest and CNN employed on various datasets [4]. The work presented in this paper presented detailed study of machine learning algorithms on the datasets available includes NSL-KDD, ICDX, CIDDS-001, CICIDS 2017 in the cloud environment [5].…”
Section: Related Workmentioning
confidence: 99%