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 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%.

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Published
2024-08-10
DOI
https://doi.org/10.1109/isci62787.2024.10668093
Primary Topic
Network Security and Intrusion Detection
Type
article
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article

Analysis and Identification of Distributed Denial of Service Attacks Using Intra-Domain Messaging Schemes

Imelda Uli Vistalina Simanjuntak, Septi Andryana, M. Mubarak, Agus Dendi Rochendi et al.
Network Security and Intrusion Detection
article

Analysis and Identification of Distributed Denial of Service Attacks Using Intra-Domain Messaging Schemes

Imelda Uli Vistalina Simanjuntak, Septi Andryana, M. Mubarak, Agus Dendi Rochendi, Lukman Medriavin Silalahi, Abdul Hamid, Setiyo Budiyanto
article en

Abstract

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%.

Vol. 4
Mercu Buana University (ID), National Research and Innovation Agency (ID), Nasional University (ID), Tun Hussein Onn University of Malaysia (MY)
Reduced inequalities
Openalex Percentile: Top 83%
Network Security and Intrusion Detection
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