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The impact and mitigation of ICMP based economic denial of sustainability attack in cloud computing environment using software defined network

机译:云计算环境中ICMP基于ICMP的经济拒绝的影响与减轻应用软件定义网络

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摘要

High availability in network services is a crucial requirement for quality of experience. Denial of Service (DoS) and Distribute Denial of Service (DDoS) attacks are under contemplation by many researchers across the globe because these attacks directly target services availability. For this reason, cloud providers use the auto-scaling feature in Cloud Computing Environments (CCE), in which cloud resources scale dynamically on demand. DoS/DDoS attacks on CCE, using auto-scaling, do not deny services but cause high resource usage and substantial financial damages that become an Economic Denial of Sustainability (EDOS) attack. One of the DoS/DDoS attacks, resulting EDOS attack is the Internet Control Messaging Protocol (ICMP) flooding attack. In this paper, a novel technique, ICMP detection and mitigation model (EDOS-IDM) is proposed that can detect and mitigate Volumetric and Normal Behavioral ICMP traffic attacks. The results from the proposed technique are compared with the Normal Behavioral ICMP traffic attack because it causes least resource usage among all the mitigation techniques. According to our study, there is no such technique that can handle normal behavioral ICMP traffic attack. The technique is practically tested and evaluated on OpenStack production Cloud Environment test bed. According to the results, the technique is proved to save extra resource consumption and customer's bills in a cloud computing environment.
机译:网络服务的高可用性是对经验质量的关键要求。拒绝服务(DOS)和分发拒绝服务(DDOS)攻击是由全球的许多研究人员沉思,因为这些攻击直接针对服务可用性。因此,云提供商在云计算环境(CCE)中使用自动缩放功能,其中云资源按需动态刻度。 DOS / DDOS对CCE的攻击,使用自动缩放,不要拒绝服务,但导致高资源使用率和大量的财务损害,成为经济否认可持续性(EDOS)攻击。导致EDOS攻击的DOS / DDOS攻击之一是Internet控制消息传递协议(ICMP)洪水攻击。在本文中,提出了一种新颖的技术,ICMP检测和缓解模型(EDOS-IDM),其可以检测和减轻体积和正常行为ICMP流量攻击。该技术的结果与正常行为ICMP流量攻击进行了比较,因为它在所有缓解技术中导致资源最低使用。根据我们的研究,没有这样的技术可以处理正常行为ICMP流量攻击。该技术实际上测试和评估了OpenStack生产云环境试验台。根据结果​​,证明该技术在云计算环境中节省了额外的资源消费和客户账单。

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