Collaborative detection and mitigation of distributed denial-of-service attacks on software-defined network

This paper presents a collaborative technique to detect and mitigate Distributed Denial-of-Service (DDoS) flooding attacks on Software-Defined Network (SDN). This technique integrates sflow-RT application and Snort rules for the detection of DDoS traffic flows in an SDN controller. Redis Simple Mess...

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Main Authors: Tayfour, Omer Elsier, Marsono, Muhammad Nadzir
Format: Article
Published: Springer 2020
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Online Access:http://eprints.utm.my/id/eprint/87230/
http://dx.doi.org/10.1007/s11036-020-01552-0
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spelling my.utm.872302020-10-31T12:26:56Z http://eprints.utm.my/id/eprint/87230/ Collaborative detection and mitigation of distributed denial-of-service attacks on software-defined network Tayfour, Omer Elsier Marsono, Muhammad Nadzir TK Electrical engineering. Electronics Nuclear engineering This paper presents a collaborative technique to detect and mitigate Distributed Denial-of-Service (DDoS) flooding attacks on Software-Defined Network (SDN). This technique integrates sflow-RT application and Snort rules for the detection of DDoS traffic flows in an SDN controller. Redis Simple Message Queue (RSMQ) acts as a mechanism to share DDoS detection and mitigation rules among multiple Ryus SDN controllers. The rule-sharing allows a reduction of the controller’s overhead for processing DDoS detection and mitigation. The experimental results show that using the RSMQ mechanism can significantly detect and prevent DDoS attacks detection across multi-controller domains. It also provides early detection and mitigation of DDoS at lower controller overhead. Springer 2020 Article PeerReviewed Tayfour, Omer Elsier and Marsono, Muhammad Nadzir (2020) Collaborative detection and mitigation of distributed denial-of-service attacks on software-defined network. Mobile Networks and Applications, 25 (4). pp. 1338-1347. ISSN 1383-469X http://dx.doi.org/10.1007/s11036-020-01552-0
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Tayfour, Omer Elsier
Marsono, Muhammad Nadzir
Collaborative detection and mitigation of distributed denial-of-service attacks on software-defined network
description This paper presents a collaborative technique to detect and mitigate Distributed Denial-of-Service (DDoS) flooding attacks on Software-Defined Network (SDN). This technique integrates sflow-RT application and Snort rules for the detection of DDoS traffic flows in an SDN controller. Redis Simple Message Queue (RSMQ) acts as a mechanism to share DDoS detection and mitigation rules among multiple Ryus SDN controllers. The rule-sharing allows a reduction of the controller’s overhead for processing DDoS detection and mitigation. The experimental results show that using the RSMQ mechanism can significantly detect and prevent DDoS attacks detection across multi-controller domains. It also provides early detection and mitigation of DDoS at lower controller overhead.
format Article
author Tayfour, Omer Elsier
Marsono, Muhammad Nadzir
author_facet Tayfour, Omer Elsier
Marsono, Muhammad Nadzir
author_sort Tayfour, Omer Elsier
title Collaborative detection and mitigation of distributed denial-of-service attacks on software-defined network
title_short Collaborative detection and mitigation of distributed denial-of-service attacks on software-defined network
title_full Collaborative detection and mitigation of distributed denial-of-service attacks on software-defined network
title_fullStr Collaborative detection and mitigation of distributed denial-of-service attacks on software-defined network
title_full_unstemmed Collaborative detection and mitigation of distributed denial-of-service attacks on software-defined network
title_sort collaborative detection and mitigation of distributed denial-of-service attacks on software-defined network
publisher Springer
publishDate 2020
url http://eprints.utm.my/id/eprint/87230/
http://dx.doi.org/10.1007/s11036-020-01552-0
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score 13.18916