Advanced Detection and Mitigation of Smurf Attacks Using AI and SDN

ICMP based smurf attacks are used to increase denial of service (DoS) conditions on victim systems. In this paper, we analyze smurf attacks by considering the use of smurf attacks to broadcast address and IP spoofing mechanisms on network infrastructure as well as services. Finally, the paper also discusses mitigation methods including ingress filtering, correct network devices configuration as well as intrusion detection systems to assist organization to effectively cope with these threats and make their systems more robust against those.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836590
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.35
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Advanced Detection and Mitigation of Smurf Attacks Using AI and SDN

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Advanced Detection and Mitigation of Smurf Attacks Using AI and SDN

Nadeem Sarwar, Tahir Iqbal, Aitizaz Ali, Ali Hasan, Mudasser Naseer, Mohamed Shabir
article en
1 citations

Abstract

ICMP based smurf attacks are used to increase denial of service (DoS) conditions on victim systems. In this paper, we analyze smurf attacks by considering the use of smurf attacks to broadcast address and IP spoofing mechanisms on network infrastructure as well as services. Finally, the paper also discusses mitigation methods including ingress filtering, correct network devices configuration as well as intrusion detection systems to assist organization to effectively cope with these threats and make their systems more robust against those.

Asia Pacific University of Technology & Innovation (MY), Bahria University (PK), Virtual University of Pakistan (PK)
Climate action
Openalex Percentile: Top 34%
Network Security and Intrusion Detection
0.35
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