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A Fuzzy-Based Dynamic Provision Approach for Virtualized Network Intrusion Detection Systems

机译：虚拟网络入侵检测系统的基于模糊的动态配置方法

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摘要

With the increasing prevalence of virtualization and cloud technologies, virtual security appliances have emerged and become a new way for traditional security appliances to be rapidly distributed and deployed in IT infrastructure. However, virtual security appliances are challenged with achieving optimal performance, as the physical resource is shared by several virtual machines, and this issue is aggravated when virtualizing network intrusion detection systems (NIDS). In this paper, we proposed a novel approach named fuzzyVIDS, which enables dynamic resource provision for NIDS virtual appliance. In fuzzyVIDS, we use fuzzy model to characterize the complex relationship between performance and resource demands and we develop an online fuzzy controller to adaptively control the resource allocation for NIDS under varying network traffic. Our approach has been successfully implemented in the iVIC platform. Finally, we evaluate our approach by comprehensive experiments based on Xen hypervisor and Snort NIDS and the results show that the proposed fuzzy control system can precisely allocate resources for NIDS according to its resource demands, while still satisfying the performance requirements of NIDS.
机译：随着虚拟化和云技术的日益普及，虚拟安全设备已经出现，并成为传统安全设备在IT基础架构中快速分发和部署的新方法。但是，由于物理资源由多个虚拟机共享，因此虚拟安全设备面临实现最佳性能的挑战，并且在虚拟化网络入侵检测系统（NIDS）时，此问题会更加严重。在本文中，我们提出了一种名为FuzzyVIDS的新方法，该方法可以为NIDS虚拟设备提供动态资源。在FuzzyVIDS中，我们使用模糊模型来表征性能和资源需求之间的复杂关系，并且我们开发了一种在线模糊控制器，以在变化的网络流量下自适应地控制NIDS的资源分配。我们的方法已在iVIC平台中成功实施。最后，通过基于Xen系统管理程序和Snort NIDS的综合实验对我们的方法进行了评估，结果表明，所提出的模糊控制系统可以根据其资源需求为NIDS精确分配资源，同时仍能满足NIDS的性能要求。

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