Analysis and identification of distributed denial of service attacks using intra-domain messaging schemes

This research discusses security systems against Distributed Denial-of-Service (DDoS) attacks. The focus of domestic co-operation research is the resolution and identification of DDoS attacks using the Intra-Domain Messaging (I-DM) method. The proposed method has the advantage of a filtering me...

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Main Authors: Budiyanto, Setiyo, Silalahi, Lukman Medriavin, Simanjuntak, Imelda Uli Vistalina, Rochendi, Agus Dendi, Andryana, Septi, Hamid, Abdul, Mubarak, Mochamad Ikhsan
Format: Conference or Workshop Item
Language:English
Published: 2024
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Online Access:http://eprints.uthm.edu.my/12000/1/Analysis%20and%20Identification%20of%20Distributed%20Denial%20of.pdf
http://eprints.uthm.edu.my/12000/
https://doi.org/10.1109/ISCI62787.2024.10668093
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spelling my.uthm.eprints.120002025-01-21T07:20:00Z http://eprints.uthm.edu.my/12000/ Analysis and identification of distributed denial of service attacks using intra-domain messaging schemes Budiyanto, Setiyo Silalahi, Lukman Medriavin Simanjuntak, Imelda Uli Vistalina Rochendi, Agus Dendi Andryana, Septi Hamid, Abdul Mubarak, Mochamad Ikhsan TK Electrical engineering. Electronics Nuclear engineering This research discusses security systems against Distributed Denial-of-Service (DDoS) attacks. The focus of domestic co-operation research is the resolution and identification of DDoS attacks using the Intra-Domain Messaging (I-DM) method. The proposed method has the advantage of a filtering method that requires the Internet Service Provider (ISP) to validate packets from its network using valid prefixes and filter out packets using false source addresses that are out of range of legitimate addresses in a Software Defined Network (SDN) network. This research uses the Mininet simulator as an SDN engineering for data collection of entropy values. Finally, the results show that the I-DM mitigation scheme with filtering method has been effective against IP-Spoofing attacks with an accuracy rate of 83.4%. 2024-09-16 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/12000/1/Analysis%20and%20Identification%20of%20Distributed%20Denial%20of.pdf Budiyanto, Setiyo and Silalahi, Lukman Medriavin and Simanjuntak, Imelda Uli Vistalina and Rochendi, Agus Dendi and Andryana, Septi and Hamid, Abdul and Mubarak, Mochamad Ikhsan (2024) Analysis and identification of distributed denial of service attacks using intra-domain messaging schemes. In: IEEE 6TH SYMPOSIUM ON COMPUTERS & INFORMATICS (ISCI). https://doi.org/10.1109/ISCI62787.2024.10668093
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Budiyanto, Setiyo
Silalahi, Lukman Medriavin
Simanjuntak, Imelda Uli Vistalina
Rochendi, Agus Dendi
Andryana, Septi
Hamid, Abdul
Mubarak, Mochamad Ikhsan
Analysis and identification of distributed denial of service attacks using intra-domain messaging schemes
description This research discusses security systems against Distributed Denial-of-Service (DDoS) attacks. The focus of domestic co-operation research is the resolution and identification of DDoS attacks using the Intra-Domain Messaging (I-DM) method. The proposed method has the advantage of a filtering method that requires the Internet Service Provider (ISP) to validate packets from its network using valid prefixes and filter out packets using false source addresses that are out of range of legitimate addresses in a Software Defined Network (SDN) network. This research uses the Mininet simulator as an SDN engineering for data collection of entropy values. Finally, the results show that the I-DM mitigation scheme with filtering method has been effective against IP-Spoofing attacks with an accuracy rate of 83.4%.
format Conference or Workshop Item
author Budiyanto, Setiyo
Silalahi, Lukman Medriavin
Simanjuntak, Imelda Uli Vistalina
Rochendi, Agus Dendi
Andryana, Septi
Hamid, Abdul
Mubarak, Mochamad Ikhsan
author_facet Budiyanto, Setiyo
Silalahi, Lukman Medriavin
Simanjuntak, Imelda Uli Vistalina
Rochendi, Agus Dendi
Andryana, Septi
Hamid, Abdul
Mubarak, Mochamad Ikhsan
author_sort Budiyanto, Setiyo
title Analysis and identification of distributed denial of service attacks using intra-domain messaging schemes
title_short Analysis and identification of distributed denial of service attacks using intra-domain messaging schemes
title_full Analysis and identification of distributed denial of service attacks using intra-domain messaging schemes
title_fullStr Analysis and identification of distributed denial of service attacks using intra-domain messaging schemes
title_full_unstemmed Analysis and identification of distributed denial of service attacks using intra-domain messaging schemes
title_sort analysis and identification of distributed denial of service attacks using intra-domain messaging schemes
publishDate 2024
url http://eprints.uthm.edu.my/12000/1/Analysis%20and%20Identification%20of%20Distributed%20Denial%20of.pdf
http://eprints.uthm.edu.my/12000/
https://doi.org/10.1109/ISCI62787.2024.10668093
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score 13.235796