Investigating DDoS Attack Mitigation Strategies and Simulation Tools Using GNS3

Distributed Denial of Service (DDoS) attacks pose a significant threat to network security, necessitating robust defense strategies and effective simulation tools for mitigation. Current DDoS attack modeling and mitigation techniques face challenges in accurately replicating real-world scenarios, hindering the development of effective defense mechanisms. This study aims to address these challenges by investigating the effectiveness of DDoS mitigation approaches and assessing the capabilities of Graphical Network Simulator-3 (GNS3) as a simulation tool for modeling DDoS attacks. This study introduces GNS3 as a practical tool for simulating DDoS attacks and evaluates its effectiveness in comparison with other simulation tools. Additionally, we identified key factors affecting server performance during DDoS attacks, providing insights into defense strategies. Through experimentation and simulation using GNS3, we demonstrated the efficacy of various defense mechanisms in mitigating DDoS attacks. We also highlighted the advantages of GNS3 in providing realistic simulation environments for cybersecurity research. Our findings underscore the importance of accurate DDoS attack modeling and effective defense strategies for enhancing network security resilience. By leveraging advanced simulation tools, such as GNS3, organizations can better prepare for and mitigate the risks posed by DDoS attacks.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/fortei-icee64706.2024.10824613
Citations
8
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
2.79
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article

Investigating DDoS Attack Mitigation Strategies and Simulation Tools Using GNS3

Abdinasir Hirsi, Abdirisak Mohammoud Omar, Mohamoud Jama Abdiaziz, Abdifatah Farah Samatar
8 citations
Network Security and Intrusion Detection
2.79
article

Investigating DDoS Attack Mitigation Strategies and Simulation Tools Using GNS3

Abdinasir Hirsi, Abdirisak Mohammoud Omar, Mohamoud Jama Abdiaziz, Abdifatah Farah Samatar
article en
8 citations

Abstract

Distributed Denial of Service (DDoS) attacks pose a significant threat to network security, necessitating robust defense strategies and effective simulation tools for mitigation. Current DDoS attack modeling and mitigation techniques face challenges in accurately replicating real-world scenarios, hindering the development of effective defense mechanisms. This study aims to address these challenges by investigating the effectiveness of DDoS mitigation approaches and assessing the capabilities of Graphical Network Simulator-3 (GNS3) as a simulation tool for modeling DDoS attacks. This study introduces GNS3 as a practical tool for simulating DDoS attacks and evaluates its effectiveness in comparison with other simulation tools. Additionally, we identified key factors affecting server performance during DDoS attacks, providing insights into defense strategies. Through experimentation and simulation using GNS3, we demonstrated the efficacy of various defense mechanisms in mitigating DDoS attacks. We also highlighted the advantages of GNS3 in providing realistic simulation environments for cybersecurity research. Our findings underscore the importance of accurate DDoS attack modeling and effective defense strategies for enhancing network security resilience. By leveraging advanced simulation tools, such as GNS3, organizations can better prepare for and mitigate the risks posed by DDoS attacks.

East Africa University (SO), Tun Hussein Onn University of Malaysia (MY)
Climate action
Openalex Percentile: Top 9%
Network Security and Intrusion Detection
2.79
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