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Distributed AI-based Security for Massive Numbers of Network Slices in 5G Beyond Mobile Systems

机译:在5G&超越移动系统中分布式基于AI的网络切片的安全性

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The envisioned massive deployment of network slices in 5G and beyond mobile systems makes the shift towards zero-touch, scalable and secure slice lifecycle management a necessity. This is to harvest the benefits of network slicing in enabling profitable services. These benefits will not be attained without ensuring a high level security of the created network slices and the underlying infrastructure, above all in a zero-touch automated fashion. In this vein, this paper presents the architecture of an innovative network slicing security orchestration framework, being developed within the EU H2020 MonB5G project. The framework leverages the potential of Security as a Service (SECaaS) and Artificial Intelligence (AI) to foster fully-distributed, autonomic and fine-grained management of network slicing security from the node level to the end-to-end and inter-slice levels.
机译:在5G和超出移动系统中设想的大规模部署网络切片,使零触摸,可扩展和安全切片生命周期管理的转变为必要性。 这是为了收集网络切片在实现有利可图的服务方面的好处。 在不确保所创建的网络切片和底层基础设施的高水平安全性的情况下,将无法实现这些效益,以至于以零触摸自动化方式。 在此静脉中,本文介绍了创新网络切片安全编程框架的体系结构,在欧盟H2020 Monb5G项目中开发。 该框架利用安全性的潜力作为服务(SECAAS)和人工智能(AI),以促进从节点级别到端到端和切片的网络切片安全性的完全分布式,自主和细粒度管理 水平。

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