Ddos Detection
DDoS Detection is a cybersecurity method that identifies distributed denial-of-service attacks by distinguishing malicious traffic patterns from normal network behavior through anomaly detection, signature recognition, or behavioral analysis.
2.2K
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112.1K
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1.6K
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Publications per year
2017–2026
1.4K
Variants
Distributed Denial-of-service Detection
Parents
2.2K
Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy
Iman Sharafaldin, Arash Habibi Lashkari, Saqib Hakak et al. · 2019 · 1.1K citations
Understanding the mirai botnet
Manos Antonakakis, Tim April, Michael Bailey et al. · USENIX Security Symposium · 2017 · 1.1K citations
Qiao Yan, F. Richard Yu, Qingxiang Gong et al. · IEEE Communications Surveys & Tutorials · 2015 · 802 citations
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National Institute of Technology Kurukshetra
Kurukshetra, India
26 h-index
72 publications
4.4K citations

Deakin University
Burwood, Australia
25 h-index
78 publications
6K citations

Universiti Sains Malaysia
George Town, Malaysia
19 h-index
81 publications
2.8K citations
Vellore Institute of Technology University
Vellore, India
18 h-index
46 publications
1.3K citations

King Saud University
Riyadh, Saudi Arabia
17 h-index
27 publications
1.2K citations
Beijing Jiaotong University
Beijing, China
15 h-index
48 publications
2.3K citations

King Abdulaziz University
Jeddah, Saudi Arabia
15 h-index
40 publications
1.7K citations

Anna University, Chennai
Chennai, India
15 h-index
44 publications
1.7K citations
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78 publications · 7K citations
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38 publications · 2.7K citations
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29 publications · 2.8K citations
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29 publications · 1.7K citations
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31 publications · 1.6K citations
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