SDN-Based Network Intrusion Detection as DDoS defense system for Virtualization Environment

IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Saifudin Usman, Idris Winarno, Amang Sudarsono
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引用次数: 0

Abstract

Nowadays, DDoS attacks are often aimed at cloud computing environments, as more people use virtualization servers. With so many Nodes and distributed services, it will be challenging to rely solely on conventional networks to control and monitor intrusions. We design and deploy DDoS attack defense systems in virtualization environments based on Software-defined Networking (SDN) by combining signature-based Network Intrusion Detection Systems (NIDS) and sampled flow (sFlow). These techniques are practically tested and evaluated on the Proxmox production Virtualization Environment testbed, adding High Availability capabilities to the Controller. The evaluation results show that it promptly detects several types of DDoS attacks and mitigates their negative impact on network performance. Moreover, it also shows good results on Quality of Service (QoS) parameters such as average packet loss about 0 %, average latency about 0.8 ms, and average bitrate about 860 Mbit/s.
基于sdn的网络入侵检测作为虚拟化环境下的DDoS防御系统
如今,随着越来越多的人使用虚拟化服务器,DDoS攻击通常针对云计算环境。有了如此多的节点和分布式服务,仅仅依靠传统网络来控制和监控入侵将是具有挑战性的。将基于签名的网络入侵检测系统(NIDS)和采样流(sFlow)相结合,设计并部署了基于软件定义网络(SDN)的虚拟化环境下的DDoS攻击防御系统。这些技术在Proxmox生产虚拟化环境测试平台上进行了实际测试和评估,为控制器添加了高可用性功能。评估结果表明,能够及时检测出多种类型的DDoS攻击,减轻了DDoS攻击对网络性能的负面影响。此外,在平均丢包率约为0%、平均时延约为0.8 ms、平均比特率约为860mbit /s等服务质量(QoS)参数方面也取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
EMITTER-International Journal of Engineering Technology
EMITTER-International Journal of Engineering Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
自引率
0.00%
发文量
7
审稿时长
12 weeks
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