Modeling Cloud Environment for Assessing Denial of Service Attack

R. Aparna, Hegde H Thrapthi, Shweta Baindur, B. Namrata, Mehvish Akhtar, S. Chaudhari
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Abstract

Cloud computing allows users to store and process their data in third party data centers. There is a need for secure and reliable measures to be taken to prevent loss of data, authentication problems and other security issues. This paper discusses steps followed to set up a private cloud using an open source software platform, OpenStack. Setting up the private cloud not only ensures the privacy as it eliminates the involvement of a third party cloud service provider but also provides us with a cheaper alternative. A Denial of Service (DoS) attack is a type of security attack where in the main aim is to overload the machine making it inaccessible to legitimate users. To assess DoS attack, we develop a web application running on one of the instances of our cloud. We analyze the DoS attack on this application using a DoS algorithm running on one of the instances in cloud. The performance of the cloud under the attack and without the attack is analyzed and conclusions about the risks involved are drawn. By assessing these risks, the performance degradation of the cloud is visualized using Wireshark and SlowHTTPTest tools.
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基于拒绝服务攻击评估的云环境建模
云计算允许用户在第三方数据中心存储和处理他们的数据。有必要采取安全可靠的措施来防止数据丢失、身份验证问题和其他安全问题。本文讨论了使用开源软件平台OpenStack建立私有云的步骤。建立私有云不仅可以确保隐私,因为它消除了第三方云服务提供商的参与,而且还为我们提供了一个更便宜的选择。拒绝服务(DoS)攻击是一种安全攻击,其主要目的是使机器过载,使合法用户无法访问。为了评估DoS攻击,我们开发了一个运行在云实例上的web应用程序。我们使用在云中的一个实例上运行的DoS算法来分析对该应用程序的DoS攻击。分析了云在受到攻击和没有受到攻击时的性能,并得出了有关风险的结论。通过评估这些风险,可以使用Wireshark和SlowHTTPTest工具可视化云的性能退化。
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