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Boğaziçi University distributed denial of service dataset

Distributed Denial of Service (DDoS) attacks is one of the most troublesome intrusions for online services on the internet. In general DDoS attacks are divided into two categories as bandwidth depletion and resource depletion attacks. We generate resource depletion-type DDoS attacks on the campus ne...

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Detalles Bibliográficos
Autores principales: Erhan, Derya, Anarım, Emin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452651/
https://www.ncbi.nlm.nih.gov/pubmed/32904236
http://dx.doi.org/10.1016/j.dib.2020.106187
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author Erhan, Derya
Anarım, Emin
author_facet Erhan, Derya
Anarım, Emin
author_sort Erhan, Derya
collection PubMed
description Distributed Denial of Service (DDoS) attacks is one of the most troublesome intrusions for online services on the internet. In general DDoS attacks are divided into two categories as bandwidth depletion and resource depletion attacks. We generate resource depletion-type DDoS attacks on the campus network of Boğaziçi University and recorded the ongoing traffic from the backbone router's mirrored port. We generate TCP SYN, and UDP flooding packets using Hping3 traffic generator software by flooding. This dataset includes attack-free user traffic and attack traffic, which is suitable for evaluating network-based DDoS detection methods. Attacks are towards one victim server connected to the backbone router of the campus. Attack packets have randomly generated spoofed source IP addresses. We removed payloads of packets and anonymized the source IP addresses of legitimate users for the confidentiality of legitimate users.
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spelling pubmed-74526512020-09-04 Boğaziçi University distributed denial of service dataset Erhan, Derya Anarım, Emin Data Brief Computer Science Distributed Denial of Service (DDoS) attacks is one of the most troublesome intrusions for online services on the internet. In general DDoS attacks are divided into two categories as bandwidth depletion and resource depletion attacks. We generate resource depletion-type DDoS attacks on the campus network of Boğaziçi University and recorded the ongoing traffic from the backbone router's mirrored port. We generate TCP SYN, and UDP flooding packets using Hping3 traffic generator software by flooding. This dataset includes attack-free user traffic and attack traffic, which is suitable for evaluating network-based DDoS detection methods. Attacks are towards one victim server connected to the backbone router of the campus. Attack packets have randomly generated spoofed source IP addresses. We removed payloads of packets and anonymized the source IP addresses of legitimate users for the confidentiality of legitimate users. Elsevier 2020-08-17 /pmc/articles/PMC7452651/ /pubmed/32904236 http://dx.doi.org/10.1016/j.dib.2020.106187 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Computer Science
Erhan, Derya
Anarım, Emin
Boğaziçi University distributed denial of service dataset
title Boğaziçi University distributed denial of service dataset
title_full Boğaziçi University distributed denial of service dataset
title_fullStr Boğaziçi University distributed denial of service dataset
title_full_unstemmed Boğaziçi University distributed denial of service dataset
title_short Boğaziçi University distributed denial of service dataset
title_sort boğaziçi university distributed denial of service dataset
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452651/
https://www.ncbi.nlm.nih.gov/pubmed/32904236
http://dx.doi.org/10.1016/j.dib.2020.106187
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