arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2408.11486cs.CRcs.NI
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软件定义网络中的安全评估

Security Evaluation in Software-Defined Networks

Igor Ivkić, Dominik Thiede, Nicholas Race, Matthew Broadbent, Antonios Gouglidis

AI总结:

本文提出一个SDN安全评估框架,通过实验识别威胁与漏洞、计算风险并给出缓解措施,帮助管理员保障网络安全。

摘要:

近年来,云计算的重要性日益增长,导致数据中心(DC)网络需求显著增加。这一变化的一个主要驱动力是虚拟化,它允许大规模部署计算资源。然而,传统数据中心凭借其网络拓扑和网络端点的激增,正难以满足云计算应用灵活、集中管理的需求。软件定义网络(SDN)通过将控制功能与数据路由分离,有望为这些日益增长的网络需求提供解决方案。这种转变增加了网络的灵活性,但也引入了新的安全问题。本文提出了一个用于评估SDN架构安全性的框架。此外,通过实验研究,我们展示了该框架如何识别威胁和漏洞,计算其风险和严重性,并提供必要的缓解措施。该框架有助于管理员评估SDN安全性,处理已识别的威胁并满足网络安全要求。

英文摘要:

Cloud computing has grown in importance in recent years which has led to a significant increase in Data Centre (DC) network requirements. A major driver of this change is virtualisation, which allows computing resources to be deployed on a large scale. However, traditional DCs, with their network topology and proliferation of network endpoints, are struggling to meet the flexible, centrally managed requirements of cloud computing applications. Software-Defined Networks (SDN) promise to offer a solution to these growing networking requirements by separating control functions from data routing. This shift adds more flexibility to networks but also introduces new security issues. This article presents a framework for evaluating security of SDN architectures. In addition, through an experimental study, we demonstrate how this framework can identify the threats and vulnerabilities, calculate their risks and severity, and provide the necessary measures to mitigate them. The proposed framework helps administrators to evaluate SDN security, address identified threats and meet network security requirements.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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