Efficient DDoS attack detection and prevention scheme based on SDN in cloud environment

For addressing the problem of two typical types of distributed denial of service (DDoS) attacks in cloud environment,a DDoS attack detection and prevention scheme called SDCC based on software defined network (SDN) architecture was proposed.SDCC used a combination of bandwidth detection and data flo...

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Main Authors: Heng HE, Yan HU, Lianghan ZHENG, Zhengyuan XUE
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-04-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018068/
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author Heng HE
Yan HU
Lianghan ZHENG
Zhengyuan XUE
author_facet Heng HE
Yan HU
Lianghan ZHENG
Zhengyuan XUE
author_sort Heng HE
collection DOAJ
description For addressing the problem of two typical types of distributed denial of service (DDoS) attacks in cloud environment,a DDoS attack detection and prevention scheme called SDCC based on software defined network (SDN) architecture was proposed.SDCC used a combination of bandwidth detection and data flow detection,utilized confidence-based filtering (CBF) method to calculate the CBF score of packets,judged the packet of CBF score below the threshold as an attacking packet,added its attribute information to the attack flow feature library,and sent the flow table to intercept it through SDN controller.Simulation results show that SDCC can detect and prevent different types of DDoS attacks effectively,and it has high detection efficiency,reduces the controller’s computation overhead,and achieves a low false positive rate.
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institution Kabale University
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publishDate 2018-04-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-d92820c78d1d4ec4ab1a1b63b9563e0a2025-01-14T07:14:37ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-04-013913915159717752Efficient DDoS attack detection and prevention scheme based on SDN in cloud environmentHeng HEYan HULianghan ZHENGZhengyuan XUEFor addressing the problem of two typical types of distributed denial of service (DDoS) attacks in cloud environment,a DDoS attack detection and prevention scheme called SDCC based on software defined network (SDN) architecture was proposed.SDCC used a combination of bandwidth detection and data flow detection,utilized confidence-based filtering (CBF) method to calculate the CBF score of packets,judged the packet of CBF score below the threshold as an attacking packet,added its attribute information to the attack flow feature library,and sent the flow table to intercept it through SDN controller.Simulation results show that SDCC can detect and prevent different types of DDoS attacks effectively,and it has high detection efficiency,reduces the controller’s computation overhead,and achieves a low false positive rate.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018068/cloud environmentDDoS attacksoftware defined networkconfidence-based filtering
spellingShingle Heng HE
Yan HU
Lianghan ZHENG
Zhengyuan XUE
Efficient DDoS attack detection and prevention scheme based on SDN in cloud environment
Tongxin xuebao
cloud environment
DDoS attack
software defined network
confidence-based filtering
title Efficient DDoS attack detection and prevention scheme based on SDN in cloud environment
title_full Efficient DDoS attack detection and prevention scheme based on SDN in cloud environment
title_fullStr Efficient DDoS attack detection and prevention scheme based on SDN in cloud environment
title_full_unstemmed Efficient DDoS attack detection and prevention scheme based on SDN in cloud environment
title_short Efficient DDoS attack detection and prevention scheme based on SDN in cloud environment
title_sort efficient ddos attack detection and prevention scheme based on sdn in cloud environment
topic cloud environment
DDoS attack
software defined network
confidence-based filtering
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018068/
work_keys_str_mv AT henghe efficientddosattackdetectionandpreventionschemebasedonsdnincloudenvironment
AT yanhu efficientddosattackdetectionandpreventionschemebasedonsdnincloudenvironment
AT lianghanzheng efficientddosattackdetectionandpreventionschemebasedonsdnincloudenvironment
AT zhengyuanxue efficientddosattackdetectionandpreventionschemebasedonsdnincloudenvironment