Zero-touch security automation mechanisms for edge NFV: the π-Edge approach

Alexandros Valantasis, Nikos Psaromanolakis, V. Theodorou
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引用次数: 1

Abstract

The shift towards distributed computing architectures that push data storage and processing to the edge of the network, is resulting into a convergence of cloud-computing services and next generation mobile network technologies. In order to uniformly manage resources and services in the formed cloud/core to edge/devices continuum and to handle the diversity of multi-party underlying infrastructure technologies in a latency-aware, reliable and trustworthy fashion, management automation has become more crucial than ever. In this work, we present the security analytics mechanisms of the π-Edge platform–our edge management platform that embodies zero-touch automation features for interoperability, Quality of Service (QoS) assurance, resilience and trust. To this end, we introduce a declarative NFV MANO Information Model (IM) and methods for automatically enhancing Network Slices at the edge, with security services that i) continuously monitor user-plane traffic on the links between Virtual Network Functions (VNFs), ii) detect possible network vulnerabilities or malicious behaviour and iii) apply relevant actions to effectively observe and mitigate identified threats. The implementation of such mechanisms is evaluated through experimentation on a use case of DDoS attacking scenarios, showcasing the usability and the benefits of our proposed solution.
边缘NFV的零接触安全自动化机制:π-Edge方法
向分布式计算架构的转变,将数据存储和处理推向网络边缘,导致云计算服务和下一代移动网络技术的融合。为了在形成的云/核心到边缘/设备连续体中统一管理资源和服务,并以延迟感知、可靠和值得信赖的方式处理多方底层基础设施技术的多样性,管理自动化变得比以往任何时候都更加重要。在这项工作中,我们提出了π-Edge平台的安全分析机制,π-Edge平台是我们的边缘管理平台,它体现了互操作性、服务质量(QoS)保证、弹性和信任的零接触自动化特性。为此,我们引入了声明式NFV MANO信息模型(IM)和自动增强边缘网络切片的方法,其安全服务包括i)持续监控虚拟网络功能(VNFs)之间链接上的用户平面流量,ii)检测可能的网络漏洞或恶意行为,以及iii)应用相关行动来有效观察和减轻已识别的威胁。通过对DDoS攻击场景用例的实验来评估这些机制的实现,展示了我们提出的解决方案的可用性和优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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