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DDoS attack mitigation and resource provisioning in cloud using fog computing

机译:使用雾计算在云中缓解DDoS攻击并提供资源

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Security and reliability are essential in cloud computing environment. Researchers are exploring all features of cloud from scheduling policies, cloud network architecture, virtualization, I/O efficiency, hypervisor performance scalability, data confidentiality and data integrity of data oriented applications. Therefore, the need to secure cloud has become inevitable. Nowadays, one of the biggest challenges faced by cloud users and cloud service providers is DDoS attack. Distributed denial-of-service attack [3] compromises the availability of the system services. In the cloud, DDoS attacks target the services offered by the cloud, reducing their ability to provide optimal use of the network resources. Furthermore, this resource exhaustion by illegitimate traffic results in large billing for customers for the services they never used also known as EDoS (Economic Denial of Sustainability) attack. Fog computing [6] is an intermediate layer between cloud and users. It is similar to the cloud and can provide services like computation, data, networking, and storage between end users and cloud servers and hence fog can provide defense against DDoS even before it reaches the cloud. Therefore, saving cloud resources and providing faster response time. This paper proposes a framework for DDoS attack detection and efficient resource provisioning in a cloud environment with the help of Fog computing by using an efficient algorithm to service cloud request effectively by intermediate fog servers. Hence, provide quick response time and efficient utilization of resources.
机译:安全性和可靠性在云计算环境中至关重要。研究人员正在探索云的所有功能,包括调度策略,云网络体系结构,虚拟化,I / O效率,虚拟机监控程序性能可伸缩性,面向数据的应用程序的数据机密性和数据完整性。因此,保护​​云的需求已成为必然。如今,DDoS攻击是云用户和云服务提供商面临的最大挑战之一。分布式拒绝服务攻击[3]损害了系统服务的可用性。在云中,DDoS攻击针对云提供的服务,从而降低了它们提供网络资源最佳利用的能力。此外,非法流量造成的资源耗尽会导致客户为他们从未使用过的服务支付巨额账单,这也被称为ESS(拒绝可持续性经济)攻击。雾计算[6]是云和用户之间的中间层。它类似于云,可以在最终用户和云服务器之间提供诸如计算,数据,网络和存储之类的服务,因此雾甚至可以在DDoS到达云之前提供防御。因此,节省了云资源并提供了更快的响应时间。本文提出了一种在云环境中借助Fog计算的DDoS攻击检测和有效资源供应的框架,该算法使用一种有效的算法来有效地服务于中间雾服务器的云请求。因此,提供快速响应时间和有效利用资源。

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